Jobs For Faculty Of Science Graduates in Qatar

:نبذة عن المعهد<br><br>تأسس معهد الدوحة للدراسات العليا في قطر في عام 2015 كمؤسسة مستقلة للدراسات العليا، ومقره الدوحة. يقدّم المعهد برامج الماجستير والدكتوراه في كليتين: كلية العلوم الاجتماعية والإنسانية، وكلية الاقتصاد والإدارة والسياسات العامة، معتمدًا اللغة العربية كلغة أساس للدراسة والبحث، مع اشتراط اتقان الإنجليزية. يعمل المعهد على تأهيل باحثين قادرين على الإسهام في إنتاج المعرفة وفق المعايير العالميّة، ومهنيين متمكّنين في المهارات المتقدمة في تخصصاتهم، وقياديين قادرين على الاستجابة لحاجات العالم العربي في التنمية المستدامة، والنهوض الفكري والاجتماعي. يتبنى المعهد تكامل التعليم والتعلّم مع البحث العلمي، مع مراعاة تكامل التخصصات ومحورية الطلاب في العملية التعليمية، ويوفر لمنتسبيه الحرية الأكاديمية، مع التأكيد على قيم النزاهة والمهنية.<br><br>:نبذة عن البرنامج<br><br>يهدف برنامج العلوم السياسية والعلاقات الدولية، أحد برامج كلية العلوم الاجتماعية والإنسانية بمعهد الدوحة للدراسات العليا، إلى تكوين جيل جديد من المتخصصين العرب في العلوم السياسية قادرين على إنتاج معرفة معبرة عن المنطقة ومنها ولأجلها، والانخراط في حوار نقدي مباشر مع النقاشات النظرية والمقاربات المنهجية في هذا الحقل المعرفي عالميًا. لا يقتصر نهج البرنامج مع طرق التدريس في الجامعات العالمية المرموقة فحسب، بل يشمل أيضًا بُعدًا مميزًا يضم الإسهامات والمضامين والاهتمامات العربية. يجسد نهج البرنامج في التدريس والتعلم هدف معهد الدوحة للدراسات العليا المتمثل في دمج البحث في التعليم والتعلم. ولتحقيق ذلك يعمل البرنامج على استقطاب أساتذة متمكنين لهم خبرة في التدريس وفي البحث العلمي والنشر في كبريات الدوريات الدولية المتخصصة. إذ يتوقع من أعضاء هيئة التدريس في البرنامج تقديم مساهمات فعالة وأبحاث علمية رفيعة المستوى، والحرص على نقل خبراتهم ومهاراتهم البحثية إلى الطلبة، وتعزيز التعاون العلمي مع زملائهم داخل المعهد وخارجه، بما يسهم في إثراء المعرفة وتطوير الحقل العلمي. كما يتوقع منهم المشاركة في مراجعة نقدية مستمرة للعلوم السياسية والعلاقات الدولية والنظريات السائدة فيها، وهو توجه يشجعه البرنامج في إطار سعيه إلى تقديم إسهامات علمية أصيلة ومبتكرة. ويولي البرنامج اهتمامًا خاصًا برصد ومعالجة أوجه القصور المعرفية في الأدبيات، لا سيما تلك المتعلقة بدراسة القضايا السياسية في المنطقة العربية.<br><br>:موجز عن الشاغر الوظيفي/ الغرض من الوظيفة<br><br>يهدف برنامج العلوم السياسية والعلاقات الدولية إلى استقطاب عضو هيئة تدريس بدوام كامل في تخصص العلاقات الدولية، بما ينسجم مع رسالة معهد الدوحة للدراسات العليا القائمة على التميز الأكاديمي والإنتاج المعرفي وربط البحث العلمي بقضايا السياسات العامة في السياقات الإقليمية والدولية<br><br>على أن يبدأ التعاقد في أغسطس/سبتمبر 2027<br><br>ينبغي أن ت/يكون المرشح/ة متخصص/ة في العلاقات الدولية<br><br>ومن المتوقع أن ت/يساهم المرشح/ة في تدريس مقررات متقدمة على مستوى الدراسات العليا في مجال العلاقات الدولية، إلى جانب الإشراف الأكاديمي على رسائل الماجستير والدكتوراه، ودعم تطوير البيئة البحثية للبرنامج. كما يُنتظر منه/ا المشاركة الفاعلة في اللجان الأكاديمية والإدارية، لا سيما ما يتعلق بعمليات القبول وتطوير البرامج، فضلاً عن الإسهام في إنتاج بحث علمي رصين ونشره في مجلات محكّمة دولياً، بما يعزز مكانة البرنامج ويواكب أولويات المعهد في البحث النقدي متعدد التخصصات وخدمة قضايا المنطقة<br><br>:المهام الرئيسية<br><br> تدريس مقررات على مستوى الدراسات العليا. الإشراف على طلاب الماجستير والدكتوراه في البرنامج والمشاركة الكاملة في الحياة الأكاديمية لمعهد الدوحة للدراسات العليا.نشر الأبحاث في حقول الاختصاص والمجالات المتصلة في الدوريات المحكمة الرائدة في المجال و/ أو دور نشر أكاديمية مرموقة.الاضطلاع بمهام إدارية وخدمة البرنامج والكلية والمعهد والمجتمعالمشاركة في لجان البرنامج والكلية والمعهد. <br><br>المؤهلات والخبرات والمهارات:<br><br>على المتقدمين/ات أن يكونوا<br><br> حاصلين على شهادة الدكتوراه في تخصص العلوم السياسيةذوي سجل بحث ونشر علمي في ميادين الاختصاص والمجالات المتصلة في مجلات محكمة عالميًا تتناسب مع رتبتهم العلمية.ذوي كفاءة وخبرة في التدريس الجامعي لمرحلة الدراسات العليا.متقنين للغة العربية.قادرين على جذب الدعم الخارجي والتمويل البحثي.مستعدين للمشاركة في البحوث التشاركية متعددة التخصصات مع أعضاء آخرين في البرنامج و/أو المعهد.قادرين على بناء سمعة دولية في مجالات البحث المتخصصة.<br><br>المتطلبات:<br><br>سيرة ذاتية مفصلة.نسخة من شهادة الدكتوراه.خطاب يشرح الحافز على التقدم للشاغر الوظيفي. خطاب يشرح فلسفة التعليم والإشراف.<br><br>مرفقات تثبت الخبرة التدريسية (مثل وصف المقررات وتقييم الطلاب للمقرر) إذا كان المرشح يشغل وظيفة تدريس. <br><br>نسخ من الأبحاث المنشورة أو الأبحاث قيد الإعداد.خطاب يشرح الإنجازات البحثية للمتقدم أو المتقدمة و/ أو المخطط البحثي الحالي.أسماء ومعلومات التواصل لثلاثة معرفين لتوفير خطابات مرجعية وتوصيات.قد يتم طلب مواد إضافية في مرحلة لاحقة.<br><br>ملاحظات إضافية:<br><br> يلتزم المعهد بتوفير فرص متساوية في التوظيف.يشجع المعهد الباحثات الإناث على التقدم لشغل الوظائف.سيتم مراجعة طلبات التقديم والنظر فيها فور استلامها إلى حين ملء الشواغر المتاحة. يُرجى إرفاق جميع الوثائق المطلوبة للتقديم عبر صفحة الوظائف على موقع المعهد. ولمزيد من المعلومات والتفاصيل عن معهد الدوحة للدراسات العليا، يُرجى زيارة الموقع www.dohainstitute.edu.qa.<br><br>يُرجى التواصل مع الدكتور عمار الشمايلة على ammar.shamaileh@dohainstitute.edu.qa<br><br>في حال وجود أي تساؤلات أخرى عن الشاغر الوظيفي.<br><br>سيتم التواصل مع مرشحي القائمة القصيرة فقط<br><br>آجال التقديم:<br><br>يغلق في نهاية يوم العمل بتاريخ 01-Nov-26

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>Job Description: Science Teacher (with Biology to A-Level) Role Overview Position: Science Teacher (Specialising in Biology up to A-Level) Location: Doha, Qatar Start Date: August 2026 Contract Type: Permanent / Unlimited Contract</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p>Education: Bachelor s degree in biology, Science Education, or a closely related field. Qualification: A recognized teaching qualification (e.g., PGCE, QTS, or equivalent official state teaching licence). Experience: Proven track record of delivering the English National Curriculum, specifically teaching Biology at IGCSE and A-Level. Skills: Excellent communication skills, cultural adaptability, and a commitment to values-led education.</p><p></p></section>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>EGA's MYP Science Teacher plays a key role in fostering scientific inquiry, critical thinking, and interdisciplinary learning. The teacher delivers engaging, inquiry-based lessons aligned with the IB Middle Years Programme (MYP) framework, emphasizing real-world applications of science.</p><p>Key Responsibilities:</p><ul><li>Curriculum Delivery: Teach MYP Science, covering physics, chemistry, biology, and environmental science, using an inquiry-based approach.</li><li>Conceptual Understanding: Develop students' investigative and analytical skills through hands-on experiments, projects, and real-life applications.</li><li>Interdisciplinary Learning: Integrate science concepts with other subjects, emphasizing the global context of scientific discoveries.</li><li>Assessment &amp; Feedback: Use MYP formative and summative assessments, including criterion-based grading, to track student progress.</li><li>Technology Integration: Incorporate digital tools, simulations, and scientific technology to enhance learning.</li><li>Student Engagement: Promote independent research, STEM innovation, and scientific thinking in the classroom.</li><li>Safeguarding &amp; Well-being: Ensure student safety, particularly in laboratory settings, and adhere to school safeguarding policies.</li><li>Professional Development: Stay updated on IB methodologies and advancements in science education.</li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p>Want to stand out? Make sure your profile matches these job requirements to get your application noticed.</p><p>Eligible Candidates: Certified Teacher, University Graduate</p><p>Minimum Education: Bachelor</p><p>Teaching Experience: 2+ years</p><p>Licenses &amp; Certifications: Teaching Credential/License</p><p>Visa Eligible Citizenships: Visa eligibility is determined by employers and local regulations. If your citizenship isn t listed, you may not be eligible for this role.</p><p></p></section>

We Are<br><br>Our AI & Data team helps clients transform business challenges into opportunities through advanced analytics, AI, and intelligent decision-making. We work across industries to design and deliver practical analytical solutions.<br><br>The Work<br><br>As an AI Decision Science Consultant, you will work with clients to develop analytical solutions, generate insights, and support AI-driven transformation initiatives.<br><br><br>Conducting data analysis and statistical modeling<br>Building predictive and analytical solutions<br>Supporting machine learning use cases and AI initiatives<br>Creating dashboards, reports, and decision-support tools<br>Gathering and documenting client requirements<br>Presenting findings and recommendations to stakeholders<br>Collaborating with multidisciplinary consulting teams<br><br><br>Here's What You Need<br><br><br>Bachelor's degree in Data Science, Statistics, Mathematics, Engineering, Economics, or related field<br>3+ years of analytics, AI, or data science experience<br>Strong analytical and problem-solving skills<br>Experience with SQL, Python, or similar analytical tools<br>Excellent communication and presentation skills<br><br><br>Bonus Points If You Have<br><br><br>Machine learning project experience<br>Data visualization expertise<br>Experience in consulting or client-facing environments

Job Description<br><br> OCI Data Science Platform: Build, train, evaluate and deploy machine learning models using OCI Data Science, notebooks and Python-based ML solutions. Data Preparation & Feature Engineering: Perform data cleansing, feature engineering, dataset management and model validation activities. Machine Learning & Analytics: Develop supervised and unsupervised models including forecasting, classification, clustering and recommendation solutions. Model Lifecycle & Governance: Manage model lifecycle, versioning, approvals, governance and traceability through OCI Model Catalog or equivalent controls. MLOps & Deployment: Deploy models as scalable REST API endpoints and support CI/CD pipelines for model promotion and production deployment. Monitoring & Continuous Improvement: Monitor model performance, utilisation and drift and support retraining and optimisation activities. Operational Support: Provide L2/L3 support for deployed AI/ML solutions, troubleshooting, enhancements and knowledge base updates.<br><br>Responsibilities<br><br>Primary Skills:<br><br> OCI Data Science Python SQL Machine Learning Model Validation Statistical Analysis<br><br>Secondary/ Support Skills<br><br> OCI Dev Ops Docker Kubernetes Data Engineering concepts AI Governance Model monitoring<br><br>Tools/ Platforms<br><br> Jupyter Notebooks Tensor Flow PyTorch Scikit-learn OCI Object Storage Oracle Autonomous Database<br><br>Qualifications<br><br> Bachelor’s degree in Computer Science, Data Science, Artificial Intelligence, Statistics, Engineering or a related field. Minimum 5 years of experience in data science, machine learning, advanced analytics or predictive modelling. Minimum 3 years of experience using OCI Data Science or equivalent cloud ML platforms. Experience developing, training, deploying and monitoring machine learning models in production environments. Strong understanding of MLOps, feature engineering, model governance and large-scale data analysis. OCI Data Science Professional, OCI AI Foundations Associate or OCI AI Professional certifications are preferred.<br><br>About Malomatia<br><br> ABOUT US <br><br>malomatia is a leading Qatar-based IT services and solutions provider, bringing together top Qatari and international talent to deliver innovative, end-to-end technology solutions that empower clients to achieve their strategic goals.<br><br>Our mission<br><br>Empowering Qatar’s businesses and governments to leap into the digital future with agile, knowledge-driven solutions.<br><br>Our vision<br><br>To become Qatar’s trusted knowledge partner in digital transformation, disrupting industries, shaping the future, and building a world-class tech ecosystem.<br><br>Driving change that makes a real impact<br><br>Since 2008, malomatia has been driving Qatar’s digital transformation through innovative, ISO-certified IT solutions. With expertise across key public and private sectors, we empower the nation’s vision with advanced services in cloud, cybersecurity, AI, and contact center excellence, elevating the role of technology in shaping Qatar’s sustainable future.<br><br>About The Team<br><br>Established in 2008, malomatia is a Qatari leader in IT services and digital transformation. We serve key sectors including Government, Healthcare, Education, Customs, and Transportation, delivering impactful solutions that support national development goals. Powered by a diverse team of skilled Qatari and international IT professionals, we deliver innovative, high-value digital solutions tailored to the unique needs of our clients.<br><br>Our mission is to inspire customers to thrive through digital excellence, and we envision becoming the trusted partner of choice in building a smarter society through technology and talent. We are driven by core values that define our culture and approach: ownership, integrity, empathy, teamwork, transparency, agility, excellence, trust, and innovation.<br><br>Join us in shaping the future of technology in Qatar

About QNB<br><br>Established in 1964 as the country’s first Qatari-owned commercial bank, QNB Group has steadily grown to become the largest bank in the Middle East and Africa (MEA) region.<br><br>QNB Group’s presence through its subsidiaries and associate companies extends to more than 31 countries across three continents providing a comprehensive range of advanced products and services. The total number of employees is more than 28,000 serving up to 20 million customers operating through 1,000 locations, with an ATM network of 4,300 machines.<br><br>QNB has maintained its position as one of the highest rated regional banks from leading credit rating agencies including Standard & Poor’s (A), Moody’s (Aa3) and Fitch (A+). The Bank has also been the recipient of many awards from leading international specialised financial publications.<br><br>Based on the Group’s consistent strong financial performance and its expanding international presence, QNB currently ranks as the most valuable bank brand in the Middle East and Africa, according to Brand Finance Magazine.<br><br>QNB Group has an active community support program and sponsors various social, educational and sporting events.<br><br>Job Summary<br><br>The Associate, Data Science plays a foundational role in supporting data science initiatives across the bank. The role involves working under the guidance of senior team members to build and deploy machine learning models, conduct exploratory data analysis, and generate data-driven insights to solve business problems. The associate collaborates with business units to understand requirements, supports model development, and contributes to building scalable data science assets that align with QNB’s strategic goals.<br><br>Main Responsibilities<br><br> Shareholder & Financial: - Support the development and tracking of KPIs to measure impact of data science initiatives. - Assist in delivering data analytics solutions that drive business efficiency and revenue growth. - Take part in the overall QNB Data & Analytics strategy execution. - Promote cost consciousness and efficiency and enhance productivity, to minimise cost, avoid waste, and optimise benefits for the bank. - Act within the limits of the powers delegated to the incumbent. Customer (Internal & External): - Work with internal stakeholders to understand business needs and translate them into data problems. - Assist in preparing clear, concise, and insightful reports or dashboards for business users. - Support model testing and deployment activities, ensuring stakeholder alignment and timely delivery. - Ensure activities are conducted in accordance with Service Level Agreements (SLAs) with internal departments and units to achieve significant improvements in turnaround times. - Provide precise and timely data to external and internal auditors, compliance teams, financial control, and risk management when required. - Build and maintain strong/effective relationships with related departments/units to achieve the Group’s objectives. - Provide timely/accurate data to external/internal Auditors, Compliance, Financial Control and Risk when required. Internal (Processes, Products, Regulatory): - Support the AVP and other senior data scientists in developing machine learning and statistical models. - Prepare and clean large datasets for analysis and modelling purposes. - Contribute to the implementation of AI/ML pipelines and production-ready solutions. - Document methodologies, outcomes, and learnings for reproducibility and scaling. - Develop predictive models using a variety of advanced machine learning techniques to extract meaningful insights. - Research and implement cutting-edge techniques and tools in data analytics and artificial intelligence to streamline data analysis processes and enhance decision-making. - Identify and implement new statistical or mathematical methodologies as required for specific data-driven projects. - Build robust data-driven models to address complex business questions and employ large-scale experimentation, analysis, and visualization techniques to generate efficient and repeatable insights. Learning & Knowledge: - Stay updated on the latest trends in machine learning, AI, and analytics tools. - Participate in training programs and learning sessions to build advanced analytics capability. - Proactively seek feedback and mentorship from senior team members. - Seek out opportunities to stay current with advancements in data analytics fields. - Initiate regular meetings within the Application Development department focused on discussing progress, resolving issues, and addressing concerns related to AI and data analytics projects.<br><br>Education And Experience Requirements<br><br> Bachler Degree University in data science, Computer Science, Mathematics, Engineering, or a related field. Familiarity with machine learning techniques, data wrangling, and model evaluation practices. High Level knowledge in data science tools like Python, R and Jupiter notebooks is desirable.<br><br>Note: you will be required to attach the following:<br><br>Resume/CVCopy of Passport or QID Copy of Education Certificate Copy of Birth Certificate

Vacancy: Science Teacher<br><br>Location: Doha<br><br>Start Date: August 2026<br><br>If you are an experienced Science Teacher looking for a new role in the Middle East, we are currently recruiting on behalf of an excellent British Curriculum School in Qatar.<br><br>This role is a fabulous opportunity to teach in Doha whilst working with an amazing and supportive team of expatriate teachers.<br><br>About The School<br><br>This is an established, high-achieving school that follows the National Curriculum of England. The leadership team is well known for fostering a collaborative, respectful, and balanced working culture, where teachers are valued and supported.<br><br>The school is now seeking an enthusiastic and dedicated Teacher to join for the next Academic Year.<br><br>Requirements<br><br>Successful applicants will have strong British Curriculum experience and have teacher training from the UK or Ireland.<br><br><br>Degree and PGCE gained from the UK or Ireland Experience as a Science Teacher within British Schools in the UK or Ireland Suitable for: Single Status and Married applicants without dependents <br><br><br>These roles are not suitable for ECTs / newly qualified teachers<br><br>Salary & Benefits<br><br>A comprehensive and competitive package is offered, including:<br><br><br>Generous, tax-free salary Fully furnished accommodation, including utilities Annual return flights Visa and medical insurance Professional development opportunities Shipping allowance <br><br><br>Note from Global Recruitment:<br><br>Why We Recommend This School<br><br><br>The teachers we have previously placed at this school have said that they love working there due to the fact that the management are friendly and consistently supportive The school promotes a healthy work-life balance Teachers new to the Middle East feel welcomed, comfortable, and well-supported Doha offers a vibrant expat community and excellent quality of life <br><br><br>If you meet the above criteria and are ready for an exciting new teaching adventure, we’d love to hear from you.<br><br>Successful applicants will be contacted within 5 days of submitting your application.

Vacancy: Science Teacher<br><br>Location: Doha<br><br>Start Date: August 2026<br><br>If you are an experienced Science Teacher looking for a new role in the Middle East, we are currently recruiting on behalf of an excellent British Curriculum School in Qatar.<br><br>This role is a fabulous opportunity to teach in Doha whilst working with an amazing and supportive team of expatriate teachers.<br><br>About The School<br><br>This is an established, high-achieving school that follows the National Curriculum of England. The leadership team is well known for fostering a collaborative, respectful, and balanced working culture, where teachers are valued and supported.<br><br>The school is now seeking an enthusiastic and dedicated Teacher to join for the next Academic Year.<br><br>Requirements<br><br>Successful applicants will have strong British Curriculum experience and have teacher training from the UK or Ireland.<br><br><br>Degree and PGCE gained from the UK or Ireland Experience as a Science Teacher within British Schools in the UK or Ireland Suitable for: Single Status and Married applicants without dependents <br><br><br>These roles are not suitable for ECTs / newly qualified teachers<br><br>Salary & Benefits<br><br>A comprehensive and competitive package is offered, including:<br><br><br>Generous, tax-free salary Fully furnished accommodation, including utilities Annual return flights Visa and medical insurance Professional development opportunities Shipping allowance <br><br><br>Note from Global Recruitment:<br><br>Why We Recommend This School<br><br><br>The teachers we have previously placed at this school have said that they love working there due to the fact that the management are friendly and consistently supportive The school promotes a healthy work-life balance Teachers new to the Middle East feel welcomed, comfortable, and well-supported Doha offers a vibrant expat community and excellent quality of life <br><br><br>If you meet the above criteria and are ready for an exciting new teaching adventure, we’d love to hear from you.<br><br>Successful applicants will be contacted within 5 days of submitting your application.

About QNB<br><br>Established in 1964 as the country’s first Qatari-owned commercial bank, QNB Group has steadily grown to become the largest bank in the Middle East and Africa (MEA) region.<br><br>QNB Group’s presence through its subsidiaries and associate companies extends to more than 31 countries across three continents providing a comprehensive range of advanced products and services. The total number of employees is more than 28,000 serving up to 20 million customers operating through 1,000 locations, with an ATM network of 4,300 machines.<br><br>QNB has maintained its position as one of the highest rated regional banks from leading credit rating agencies including Standard & Poor’s (A), Moody’s (Aa3) and Fitch (A+). The Bank has also been the recipient of many awards from leading international specialised financial publications.<br><br>Based on the Group’s consistent strong financial performance and its expanding international presence, QNB currently ranks as the most valuable bank brand in the Middle East and Africa, according to Brand Finance Magazine.<br><br>QNB Group has an active community support program and sponsors various social, educational and sporting events.<br><br>Job Summary<br><br>The data scientist plays a crucial role in driving advanced analytics and AI initiatives across the bank. This role collaborates closely with business and operational leaders to provide expert support, leveraging data analytical and AI tools to deliver strategic insights and actionable recommendations. Through hypothesis-based analysis to machine learning (ML) projects and applying Large Language Models, the data scientist models complex business problems using a variety of techniques including Predictive or prescriptive analytics, deep learning, Gen AI and visualization. Additionally, they support senior leadership by overseeing the development of business insights, reports, and AI capabilities to inform decision-making processes and drive impactful outcomes.<br><br>Main Responsibilities<br><br> Shareholder & Financial: - Implement Key Performance Indicators (KPIs) and monitor the performance of Data & AI-driven solutions to measure their impact on business outcomes. - Promote cost consciousness and efficiency in Data Analytics and AI projects to minimize expenses and maximize returns. - Implement Key Risk Indicators (KRIs) and manage the Group’s exposure to Data & AI related risk effectively accordingly. - Coordinate and obtain approval from the EVP Data & Analytics for projects and new systems that would impact capital or operating expenditures. - Take part in the overall QNB Data & Analytics strategy execution. - Communicate comprehensive and cost-effective Data, Analytics & AI solutions to user requirements keeping in mind the Group’s budgets and targets while enhancing productivity, to minimise cost, avoid waste, and optimise benefits for the bank. - Promote cost consciousness and efficiency and enhance productivity, to minimise cost, avoid waste, and optimise benefits for the bank. - Act within the limits of the powers delegated to the incumbent. Customer (Internal & External): - Collaborate closely with peers, key divisional stakeholders, and third-party support teams to identify and implement advanced data-driven and AI solutions that deliver substantial value for QNB and its customers. - Translate complex business needs into comprehensive data science and analytics requirements to support strategic business decision-making. - Provide strategic guidance regarding the potential and implementation of AI and data science within the organization. - Assist customers with thorough and insightful responses to their inquiries about the Bank’s products and strive to provide innovative solutions to their requests. - Ensure activities are conducted in accordance with Service Level Agreements (SLAs) with internal departments and units to achieve significant improvements in turnaround times. - Build and maintain robust and effective relationships with related departments and units to achieve the Group’s overarching objectives. - Provide precise and timely data to external and internal auditors, compliance teams, financial control, and risk management when required. - To assist customers in all their queries on Bank’s product and seek solution to their requests. - Maintain activities in accordance with Service Level Agreements (SLAs) with internal departments/units to achieve improvements in turn-around time. - Build and maintain strong/effective relationships with related departments/units to achieve the Group’s objectives. - Provide timely/accurate data to external/internal Auditors, Compliance, Financial Control and Risk when required. Internal (Processes, Products, Regulatory): Develop predictive models using a variety of advanced machine learning techniques to extract meaningful insights. - Research and implement cutting-edge techniques and tools in data analytics and artificial intelligence to streamline data analysis processes and enhance decision-making. - Identify and implement new statistical or mathematical methodologies as required for specific data-driven projects. - Build robust data-driven models to address complex business questions and employ large-scale experimentation, analysis, and visualization techniques to generate efficient and repeatable insights. - Integrate domain knowledge into AI solutions, such as leveraging financial risk data, customer journey analytics, quality predictions, and sales and marketing data. - Continuously monitor the performance and health of AI-driven models, ensuring high-quality outputs and efficiency. - Establish best practices for AI development and production infrastructure, including cloud computing, Spark, GPU utilization, and containerization. - Design and conduct analytics with the highest standards of model validation, accuracy, encompassing study design, methodology, algorithms, and statistical modelling. Learning & Knowledge: - Ensure a comprehensive understanding of business requirements to deliver the most effective data, analytics, and AI solutions. - Possess detailed knowledge of system architecture and limitations to determine optimal problem-solving methods. - Understand user requirements and existing data structures to provide appropriate solutions by enhancing existing systems or implementing new ones. - Stay updated with methodologies, tools, and industry trends in machine learning, artificial intelligence, and data analytics. - Proactively identify areas for professional development in data science and undertake relevant development activities. - Seek out opportunities to stay current with advancements in AI and data analytics fields. - Initiate regular meetings within the Application Development department focused on discussing progress, resolving issues, and addressing concerns related to AI and data analytics projects. Legal, Regulatory, and Risk Framework Responsibilities: - Adhere to all pertinent legal, regulatory, and internal compliance requirements, including but not limited to policies on Data Protection, Fraud Control, and Anti-Money Laundering (AML) & Counter-Terrorist Financing (CTF). - Understand and effectively perform your role within the Three Lines of Defence framework to identify, measure, monitor, manage, and report risks related to data, analytics, and AI projects. - Ensure optimal outcomes for clients in line with Conduct Risk policy by leveraging AI and analytics tools ethically and responsibly. - Support the Risk and Control Self-Assessment (RCSA), Key Risk Indicators (KRI), incident reporting, and remediation processes, as applicable, in accordance with Operational Risk Management guidelines specific to data and AI initiatives. - Complete all mandatory training provided by the organization to achieve and maintain the required levels of competence in data science, analytics, and AI fields. - Attend all required (internal and external) seminars and workshops, as instructed, to stay abreast of the latest advancements and best practices in data analytics and AI. Other: - Ensure high standards of data protection and confidentiality to safeguard all data and systems. - Maintaining utmost confidentiality concerning customer data and internal information obtained during the course of business and provide such information on a need-to-know basis only to Senior Management, Audit and Compliance functions, and relevant Regulators. - Maintain high professional standards to uphold the organization's reputation and to strengthen its leadership position in data analytics and AI. - All other ad hoc duties/activities related to data analytics and AI that management might request from time to time<br><br>Education And Experience Requirements<br><br> University graduate preferably with a Major in computer science, data science, software engineering, information systems, or a related quantitative field. At least 10 years of relevant experience, preferably within a Data Scientist or related role. A PhD in statistics, ML, computer science or the natural sciences, especially physics or any engineering disciplines or equivalent, would be desirable. Candidates must have a specialization in ML, AI, cognitive science, or data science, with extensive hands-on experience in developing data science and AI solutions using machine learning, deep learning, and LLM techniques. Sound knowledge and implementation experience on LLM based solutions. Prior experience in banking is desirable Sound knowledge in cloud technologies ,Python and full stack engineering is must.<br><br>Note: you will be required to attach the following:<br><br>Resume/CVCopy of Passport or QID Copy of Education Certificate

About QNB<br><br>Established in 1964 as the country’s first Qatari-owned commercial bank, QNB Group has steadily grown to become the largest bank in the Middle East and Africa (MEA) region.<br><br>QNB Group’s presence through its subsidiaries and associate companies extends to more than 31 countries across three continents providing a comprehensive range of advanced products and services. The total number of employees is more than 28,000 serving up to 20 million customers operating through 1,000 locations, with an ATM network of 4,300 machines.<br><br>QNB has maintained its position as one of the highest rated regional banks from leading credit rating agencies including Standard & Poor’s (A), Moody’s (Aa3) and Fitch (A+). The Bank has also been the recipient of many awards from leading international specialised financial publications.<br><br>Based on the Group’s consistent strong financial performance and its expanding international presence, QNB currently ranks as the most valuable bank brand in the Middle East and Africa, according to Brand Finance Magazine.<br><br>QNB Group has an active community support program and sponsors various social, educational and sporting events.<br><br>Job Summary<br><br>The data scientist plays a crucial role in driving advanced analytics and AI initiatives across the bank. This role collaborates closely with business and operational leaders to provide expert support, leveraging data analytical and AI tools to deliver strategic insights and actionable recommendations. Through hypothesis-based analysis to machine learning (ML) projects and applying Large Language Models, the data scientist models complex business problems using a variety of techniques including Predictive or prescriptive analytics, deep learning, Gen AI and visualization. Additionally, they support senior leadership by overseeing the development of business insights, reports, and AI capabilities to inform decision-making processes and drive impactful outcomes.<br><br>Main Responsibilities<br><br> Shareholder & Financial: - Implement Key Performance Indicators (KPIs) and monitor the performance of Data & AI-driven solutions to measure their impact on business outcomes. - Promote cost consciousness and efficiency in Data Analytics and AI projects to minimize expenses and maximize returns. - Implement Key Risk Indicators (KRIs) and manage the Group’s exposure to Data & AI related risk effectively accordingly. - Coordinate and obtain approval from the EVP Data & Analytics for projects and new systems that would impact capital or operating expenditures. - Take part in the overall QNB Data & Analytics strategy execution. - Communicate comprehensive and cost-effective Data, Analytics & AI solutions to user requirements keeping in mind the Group’s budgets and targets while enhancing productivity, to minimise cost, avoid waste, and optimise benefits for the bank. - Promote cost consciousness and efficiency and enhance productivity, to minimise cost, avoid waste, and optimise benefits for the bank. - Act within the limits of the powers delegated to the incumbent. Customer (Internal & External): - Collaborate closely with peers, key divisional stakeholders, and third-party support teams to identify and implement advanced data-driven and AI solutions that deliver substantial value for QNB and its customers. - Translate complex business needs into comprehensive data science and analytics requirements to support strategic business decision-making. - Provide strategic guidance regarding the potential and implementation of AI and data science within the organization. - Assist customers with thorough and insightful responses to their inquiries about the Bank’s products and strive to provide innovative solutions to their requests. - Ensure activities are conducted in accordance with Service Level Agreements (SLAs) with internal departments and units to achieve significant improvements in turnaround times. - Build and maintain robust and effective relationships with related departments and units to achieve the Group’s overarching objectives. - Provide precise and timely data to external and internal auditors, compliance teams, financial control, and risk management when required. - To assist customers in all their queries on Bank’s product and seek solution to their requests. - Maintain activities in accordance with Service Level Agreements (SLAs) with internal departments/units to achieve improvements in turn-around time. - Build and maintain strong/effective relationships with related departments/units to achieve the Group’s objectives. - Provide timely/accurate data to external/internal Auditors, Compliance, Financial Control and Risk when required. Internal (Processes, Products, Regulatory): Develop predictive models using a variety of advanced machine learning techniques to extract meaningful insights. - Research and implement cutting-edge techniques and tools in data analytics and artificial intelligence to streamline data analysis processes and enhance decision-making. - Identify and implement new statistical or mathematical methodologies as required for specific data-driven projects. - Build robust data-driven models to address complex business questions and employ large-scale experimentation, analysis, and visualization techniques to generate efficient and repeatable insights. - Integrate domain knowledge into AI solutions, such as leveraging financial risk data, customer journey analytics, quality predictions, and sales and marketing data. - Continuously monitor the performance and health of AI-driven models, ensuring high-quality outputs and efficiency. - Establish best practices for AI development and production infrastructure, including cloud computing, Spark, GPU utilization, and containerization. - Design and conduct analytics with the highest standards of model validation, accuracy, encompassing study design, methodology, algorithms, and statistical modelling. Learning & Knowledge: - Ensure a comprehensive understanding of business requirements to deliver the most effective data, analytics, and AI solutions. - Possess detailed knowledge of system architecture and limitations to determine optimal problem-solving methods. - Understand user requirements and existing data structures to provide appropriate solutions by enhancing existing systems or implementing new ones. - Stay updated with methodologies, tools, and industry trends in machine learning, artificial intelligence, and data analytics. - Proactively identify areas for professional development in data science and undertake relevant development activities. - Seek out opportunities to stay current with advancements in AI and data analytics fields. - Initiate regular meetings within the Application Development department focused on discussing progress, resolving issues, and addressing concerns related to AI and data analytics projects. Legal, Regulatory, and Risk Framework Responsibilities: - Adhere to all pertinent legal, regulatory, and internal compliance requirements, including but not limited to policies on Data Protection, Fraud Control, and Anti-Money Laundering (AML) & Counter-Terrorist Financing (CTF). - Understand and effectively perform your role within the Three Lines of Defence framework to identify, measure, monitor, manage, and report risks related to data, analytics, and AI projects. - Ensure optimal outcomes for clients in line with Conduct Risk policy by leveraging AI and analytics tools ethically and responsibly. - Support the Risk and Control Self-Assessment (RCSA), Key Risk Indicators (KRI), incident reporting, and remediation processes, as applicable, in accordance with Operational Risk Management guidelines specific to data and AI initiatives. - Complete all mandatory training provided by the organization to achieve and maintain the required levels of competence in data science, analytics, and AI fields. - Attend all required (internal and external) seminars and workshops, as instructed, to stay abreast of the latest advancements and best practices in data analytics and AI. Other: - Ensure high standards of data protection and confidentiality to safeguard all data and systems. - Maintaining utmost confidentiality concerning customer data and internal information obtained during the course of business and provide such information on a need-to-know basis only to Senior Management, Audit and Compliance functions, and relevant Regulators. - Maintain high professional standards to uphold the organization's reputation and to strengthen its leadership position in data analytics and AI. - All other ad hoc duties/activities related to data analytics and AI that management might request from time to time<br><br>Education And Experience Requirements<br><br> University graduate preferably with a Major in computer science, data science, software engineering, information systems, or a related quantitative field. At least 10 years of relevant experience, preferably within a Data Scientist or related role. A PhD in statistics, ML, computer science or the natural sciences, especially physics or any engineering disciplines or equivalent, would be desirable. Candidates must have a specialization in ML, AI, cognitive science, or data science, with extensive hands-on experience in developing data science and AI solutions using machine learning, deep learning, and LLM techniques. Sound knowledge and implementation experience on LLM based solutions. Prior experience in banking is desirable Sound knowledge in cloud technologies ,Python and full stack engineering is must.<br><br>Note: you will be required to attach the following:<br><br>Resume/CVCopy of Passport or QID Copy of Education Certificate

About QNB<br><br>Established in 1964 as the country’s first Qatari-owned commercial bank, QNB Group has steadily grown to become the largest bank in the Middle East and Africa (MEA) region.<br><br>QNB Group’s presence through its subsidiaries and associate companies extends to more than 31 countries across three continents providing a comprehensive range of advanced products and services. The total number of employees is more than 28,000 serving up to 20 million customers operating through 1,000 locations, with an ATM network of 4,300 machines.<br><br>QNB has maintained its position as one of the highest rated regional banks from leading credit rating agencies including Standard & Poor’s (A), Moody’s (Aa3) and Fitch (A+). The Bank has also been the recipient of many awards from leading international specialised financial publications.<br><br>Based on the Group’s consistent strong financial performance and its expanding international presence, QNB currently ranks as the most valuable bank brand in the Middle East and Africa, according to Brand Finance Magazine.<br><br>QNB Group has an active community support program and sponsors various social, educational and sporting events.<br><br>Job Summary<br><br>The data scientist plays a crucial role in driving advanced analytics and AI initiatives across the bank. This role collaborates closely with business and operational leaders to provide expert support, leveraging data analytical and AI tools to deliver strategic insights and actionable recommendations. Through hypothesis-based analysis to machine learning (ML) projects and applying Large Language Models, the data scientist models complex business problems using a variety of techniques including Predictive or prescriptive analytics, deep learning, Gen AI and visualization. Additionally, they support senior leadership by overseeing the development of business insights, reports, and AI capabilities to inform decision-making processes and drive impactful outcomes.<br><br>Main Responsibilities<br><br> Shareholder & Financial: - Implement Key Performance Indicators (KPIs) and monitor the performance of Data & AI-driven solutions to measure their impact on business outcomes. - Promote cost consciousness and efficiency in Data Analytics and AI projects to minimize expenses and maximize returns. - Implement Key Risk Indicators (KRIs) and manage the Group’s exposure to Data & AI related risk effectively accordingly. - Coordinate and obtain approval from the EVP Data & Analytics for projects and new systems that would impact capital or operating expenditures. - Take part in the overall QNB Data & Analytics strategy execution. - Communicate comprehensive and cost-effective Data, Analytics & AI solutions to user requirements keeping in mind the Group’s budgets and targets while enhancing productivity, to minimise cost, avoid waste, and optimise benefits for the bank. - Promote cost consciousness and efficiency and enhance productivity, to minimise cost, avoid waste, and optimise benefits for the bank. - Act within the limits of the powers delegated to the incumbent. Customer (Internal & External): - Collaborate closely with peers, key divisional stakeholders, and third-party support teams to identify and implement advanced data-driven and AI solutions that deliver substantial value for QNB and its customers. - Translate complex business needs into comprehensive data science and analytics requirements to support strategic business decision-making. - Provide strategic guidance regarding the potential and implementation of AI and data science within the organization. - Assist customers with thorough and insightful responses to their inquiries about the Bank’s products and strive to provide innovative solutions to their requests. - Ensure activities are conducted in accordance with Service Level Agreements (SLAs) with internal departments and units to achieve significant improvements in turnaround times. - Build and maintain robust and effective relationships with related departments and units to achieve the Group’s overarching objectives. - Provide precise and timely data to external and internal auditors, compliance teams, financial control, and risk management when required. - To assist customers in all their queries on Bank’s product and seek solution to their requests. - Maintain activities in accordance with Service Level Agreements (SLAs) with internal departments/units to achieve improvements in turn-around time. - Build and maintain strong/effective relationships with related departments/units to achieve the Group’s objectives. - Provide timely/accurate data to external/internal Auditors, Compliance, Financial Control and Risk when required. Internal (Processes, Products, Regulatory): Develop predictive models using a variety of advanced machine learning techniques to extract meaningful insights. - Research and implement cutting-edge techniques and tools in data analytics and artificial intelligence to streamline data analysis processes and enhance decision-making. - Identify and implement new statistical or mathematical methodologies as required for specific data-driven projects. - Build robust data-driven models to address complex business questions and employ large-scale experimentation, analysis, and visualization techniques to generate efficient and repeatable insights. - Integrate domain knowledge into AI solutions, such as leveraging financial risk data, customer journey analytics, quality predictions, and sales and marketing data. - Continuously monitor the performance and health of AI-driven models, ensuring high-quality outputs and efficiency. - Establish best practices for AI development and production infrastructure, including cloud computing, Spark, GPU utilization, and containerization. - Design and conduct analytics with the highest standards of model validation, accuracy, encompassing study design, methodology, algorithms, and statistical modelling. Learning & Knowledge: - Ensure a comprehensive understanding of business requirements to deliver the most effective data, analytics, and AI solutions. - Possess detailed knowledge of system architecture and limitations to determine optimal problem-solving methods. - Understand user requirements and existing data structures to provide appropriate solutions by enhancing existing systems or implementing new ones. - Stay updated with methodologies, tools, and industry trends in machine learning, artificial intelligence, and data analytics. - Proactively identify areas for professional development in data science and undertake relevant development activities. - Seek out opportunities to stay current with advancements in AI and data analytics fields. - Initiate regular meetings within the Application Development department focused on discussing progress, resolving issues, and addressing concerns related to AI and data analytics projects. Legal, Regulatory, and Risk Framework Responsibilities: - Adhere to all pertinent legal, regulatory, and internal compliance requirements, including but not limited to policies on Data Protection, Fraud Control, and Anti-Money Laundering (AML) & Counter-Terrorist Financing (CTF). - Understand and effectively perform your role within the Three Lines of Defence framework to identify, measure, monitor, manage, and report risks related to data, analytics, and AI projects. - Ensure optimal outcomes for clients in line with Conduct Risk policy by leveraging AI and analytics tools ethically and responsibly. - Support the Risk and Control Self-Assessment (RCSA), Key Risk Indicators (KRI), incident reporting, and remediation processes, as applicable, in accordance with Operational Risk Management guidelines specific to data and AI initiatives. - Complete all mandatory training provided by the organization to achieve and maintain the required levels of competence in data science, analytics, and AI fields. - Attend all required (internal and external) seminars and workshops, as instructed, to stay abreast of the latest advancements and best practices in data analytics and AI. Other: - Ensure high standards of data protection and confidentiality to safeguard all data and systems. - Maintaining utmost confidentiality concerning customer data and internal information obtained during the course of business and provide such information on a need-to-know basis only to Senior Management, Audit and Compliance functions, and relevant Regulators. - Maintain high professional standards to uphold the organization's reputation and to strengthen its leadership position in data analytics and AI. - All other ad hoc duties/activities related to data analytics and AI that management might request from time to time<br><br>Education And Experience Requirements<br><br> University graduate preferably with a Major in computer science, data science, software engineering, information systems, or a related quantitative field. At least 10 years of relevant experience, preferably within a Data Scientist or related role. A PhD in statistics, ML, computer science or the natural sciences, especially physics or any engineering disciplines or equivalent, would be desirable. Candidates must have a specialization in ML, AI, cognitive science, or data science, with extensive hands-on experience in developing data science and AI solutions using machine learning, deep learning, and LLM techniques. Sound knowledge and implementation experience on LLM based solutions. Prior experience in banking is desirable Sound knowledge in cloud technologies ,Python and full stack engineering is must.<br><br>Note: you will be required to attach the following:<br><br>Resume/CVCopy of Passport or QID Copy of Education Certificate

About QNB<br><br>Established in 1964 as the country’s first Qatari-owned commercial bank, QNB Group has steadily grown to become the largest bank in the Middle East and Africa (MEA) region.<br><br>QNB Group’s presence through its subsidiaries and associate companies extends to more than 31 countries across three continents providing a comprehensive range of advanced products and services. The total number of employees is more than 28,000 serving up to 20 million customers operating through 1,000 locations, with an ATM network of 4,300 machines.<br><br>QNB has maintained its position as one of the highest rated regional banks from leading credit rating agencies including Standard & Poor’s (A), Moody’s (Aa3) and Fitch (A+). The Bank has also been the recipient of many awards from leading international specialised financial publications.<br><br>Based on the Group’s consistent strong financial performance and its expanding international presence, QNB currently ranks as the most valuable bank brand in the Middle East and Africa, according to Brand Finance Magazine.<br><br>QNB Group has an active community support program and sponsors various social, educational and sporting events.<br><br>Job Summary<br><br>The data scientist plays a crucial role in driving advanced analytics and AI initiatives across the bank. This role collaborates closely with business and operational leaders to provide expert support, leveraging data analytical and AI tools to deliver strategic insights and actionable recommendations. Through hypothesis-based analysis to machine learning (ML) projects and applying Large Language Models, the data scientist models complex business problems using a variety of techniques including Predictive or prescriptive analytics, deep learning, Gen AI and visualization. Additionally, they support senior leadership by overseeing the development of business insights, reports, and AI capabilities to inform decision-making processes and drive impactful outcomes.<br><br>Main Responsibilities<br><br> Shareholder & Financial: - Implement Key Performance Indicators (KPIs) and monitor the performance of Data & AI-driven solutions to measure their impact on business outcomes. - Promote cost consciousness and efficiency in Data Analytics and AI projects to minimize expenses and maximize returns. - Implement Key Risk Indicators (KRIs) and manage the Group’s exposure to Data & AI related risk effectively accordingly. - Coordinate and obtain approval from the EVP Data & Analytics for projects and new systems that would impact capital or operating expenditures. - Take part in the overall QNB Data & Analytics strategy execution. - Communicate comprehensive and cost-effective Data, Analytics & AI solutions to user requirements keeping in mind the Group’s budgets and targets while enhancing productivity, to minimise cost, avoid waste, and optimise benefits for the bank. - Promote cost consciousness and efficiency and enhance productivity, to minimise cost, avoid waste, and optimise benefits for the bank. - Act within the limits of the powers delegated to the incumbent. Customer (Internal & External): - Collaborate closely with peers, key divisional stakeholders, and third-party support teams to identify and implement advanced data-driven and AI solutions that deliver substantial value for QNB and its customers. - Translate complex business needs into comprehensive data science and analytics requirements to support strategic business decision-making. - Provide strategic guidance regarding the potential and implementation of AI and data science within the organization. - Assist customers with thorough and insightful responses to their inquiries about the Bank’s products and strive to provide innovative solutions to their requests. - Ensure activities are conducted in accordance with Service Level Agreements (SLAs) with internal departments and units to achieve significant improvements in turnaround times. - Build and maintain robust and effective relationships with related departments and units to achieve the Group’s overarching objectives. - Provide precise and timely data to external and internal auditors, compliance teams, financial control, and risk management when required. - To assist customers in all their queries on Bank’s product and seek solution to their requests. - Maintain activities in accordance with Service Level Agreements (SLAs) with internal departments/units to achieve improvements in turn-around time. - Build and maintain strong/effective relationships with related departments/units to achieve the Group’s objectives. - Provide timely/accurate data to external/internal Auditors, Compliance, Financial Control and Risk when required. Internal (Processes, Products, Regulatory): Develop predictive models using a variety of advanced machine learning techniques to extract meaningful insights. - Research and implement cutting-edge techniques and tools in data analytics and artificial intelligence to streamline data analysis processes and enhance decision-making. - Identify and implement new statistical or mathematical methodologies as required for specific data-driven projects. - Build robust data-driven models to address complex business questions and employ large-scale experimentation, analysis, and visualization techniques to generate efficient and repeatable insights. - Integrate domain knowledge into AI solutions, such as leveraging financial risk data, customer journey analytics, quality predictions, and sales and marketing data. - Continuously monitor the performance and health of AI-driven models, ensuring high-quality outputs and efficiency. - Establish best practices for AI development and production infrastructure, including cloud computing, Spark, GPU utilization, and containerization. - Design and conduct analytics with the highest standards of model validation, accuracy, encompassing study design, methodology, algorithms, and statistical modelling. Learning & Knowledge: - Ensure a comprehensive understanding of business requirements to deliver the most effective data, analytics, and AI solutions. - Possess detailed knowledge of system architecture and limitations to determine optimal problem-solving methods. - Understand user requirements and existing data structures to provide appropriate solutions by enhancing existing systems or implementing new ones. - Stay updated with methodologies, tools, and industry trends in machine learning, artificial intelligence, and data analytics. - Proactively identify areas for professional development in data science and undertake relevant development activities. - Seek out opportunities to stay current with advancements in AI and data analytics fields. - Initiate regular meetings within the Application Development department focused on discussing progress, resolving issues, and addressing concerns related to AI and data analytics projects. Legal, Regulatory, and Risk Framework Responsibilities: - Adhere to all pertinent legal, regulatory, and internal compliance requirements, including but not limited to policies on Data Protection, Fraud Control, and Anti-Money Laundering (AML) & Counter-Terrorist Financing (CTF). - Understand and effectively perform your role within the Three Lines of Defence framework to identify, measure, monitor, manage, and report risks related to data, analytics, and AI projects. - Ensure optimal outcomes for clients in line with Conduct Risk policy by leveraging AI and analytics tools ethically and responsibly. - Support the Risk and Control Self-Assessment (RCSA), Key Risk Indicators (KRI), incident reporting, and remediation processes, as applicable, in accordance with Operational Risk Management guidelines specific to data and AI initiatives. - Complete all mandatory training provided by the organization to achieve and maintain the required levels of competence in data science, analytics, and AI fields. - Attend all required (internal and external) seminars and workshops, as instructed, to stay abreast of the latest advancements and best practices in data analytics and AI. Other: - Ensure high standards of data protection and confidentiality to safeguard all data and systems. - Maintaining utmost confidentiality concerning customer data and internal information obtained during the course of business and provide such information on a need-to-know basis only to Senior Management, Audit and Compliance functions, and relevant Regulators. - Maintain high professional standards to uphold the organization's reputation and to strengthen its leadership position in data analytics and AI. - All other ad hoc duties/activities related to data analytics and AI that management might request from time to time<br><br>Education And Experience Requirements<br><br> University graduate preferably with a Major in computer science, data science, software engineering, information systems, or a related quantitative field. At least 10 years of relevant experience, preferably within a Data Scientist or related role. A PhD in statistics, ML, computer science or the natural sciences, especially physics or any engineering disciplines or equivalent, would be desirable. Candidates must have a specialization in ML, AI, cognitive science, or data science, with extensive hands-on experience in developing data science and AI solutions using machine learning, deep learning, and LLM techniques. Sound knowledge and implementation experience on LLM based solutions. Prior experience in banking is desirable Sound knowledge in cloud technologies ,Python and full stack engineering is must.<br><br>Note: you will be required to attach the following:<br><br>Resume/CVCopy of Passport or QID Copy of Education Certificate

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>We are looking for an experienced IT Data &amp; AI Specialist to design, develop, and maintain data engineering and AI solutions that support business operations and digital transformation initiatives.</p><p>Key Responsibilities</p><ul><li>Design, develop, and maintain scalable data pipelines and data platforms.</li><li>Collect, clean, and transform structured and unstructured data.</li><li>Build, train, test, and deploy Machine Learning and Generative AI models.</li><li>Develop dashboards, reports, and actionable business insights.</li><li>Integrate AI solutions with enterprise applications.</li><li>Ensure data quality, governance, security, and compliance.</li><li>Monitor and optimize data pipelines and AI model performance.</li><li>Collaborate with business and technical stakeholders to deliver data-driven solutions.</li><li>Document data models, pipelines, and AI implementations.</li></ul><p>Required Skills</p><ul><li>Data Analysis</li><li>Data Engineering</li><li>Generative AI</li><li>Python</li><li>SQL</li><li>Machine Learning</li><li>AWS / Azure / GCP</li><li>Data Pipelines</li><li>Data Warehousing</li><li>ETL</li><li>Data Visualization / BI Tools</li><li>Cloud Computing</li></ul><p>Preferred Skills</p><ul><li>Microsoft Copilot</li><li>Google Gemini Enterprise</li><li>Large Language Models (LLMs)</li><li>Prompt Engineering</li><li>AI Solution Integration</li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"><b>Qualifications</b></p><ul><li>Bachelor's degree in Computer Science, Information Technology, Data Science, or a related field.</li><li>36 years of experience in Data Engineering, Data Analytics, AI, or Machine Learning.</li><li>Strong hands-on experience with Python and SQL.</li><li>Experience with Machine Learning frameworks.</li><li>Experience working with AWS, Azure, or GCP cloud platforms.</li><li>Strong analytical, communication, and problem-solving skills.</li></ul><b>Location Preference:</b><ul><li>Candidates willing to relocate to Qatar.</li></ul><p></p></section>

Job Description<br><br>GEMS American Academy in Qatar is currently looking for a hard-working and talented Science Teacher to join our High School team.<br><br>Joining date will be on 01 August 2026.<br><br>Key Responsibilities include:<br><br>Embrace and encourage the ethos and standards of excellence as defined in the GEMS Core Values. Deliver the required curriculum; demonstrating accurate and up to date knowledge of curriculum and subject matter. Plan and deliver quality lessons to motivate students. Create and utilise appropriate materials and the classroom environment to cater for different learning styles. Show written evidence of planning and preparation on request. Establish and maintain records of curriculum and year plans, attendance, teaching resources, assessment plans etc. Ensure the GEMS policies, procedures, and codes of conduct are followed at all times. Teach students assigned according to their individual needs using appropriate teaching strategies that meet student needs and abilities eg late-entering students, ESL, low academic ability, gifted and talented etc. Set and mark work. Assess, record and report on the academic development, progress and attainment of students and use assessment to ensure the curriculum meets the individual student’s needs. Display competence in using media and technology in the classroom. Promote the general progress and well-being of students and provide guidance to students on educational matters. Communicate with persons outside the school where appropriate (eg Ministry of Education officials). Participate in appraisal and Performance Management procedures and Continuing Professional Development (CPD). Work alongside colleagues on the preparation and development of teaching materials, resources, courses of study and pastoral arrangements. Participate in, and lead where appropriate, the co-curricular and extra-curricular programmes in the school. Promote good working relationships through active leadership and sharing of ideas, materials and experiences. Monitor and supervise safe and appropriate student behavior. Plan and implement strategies to encourage self-discipline and manage disruptive behavior. Model and encourage cultural awareness and understanding and promote a love of learning. Assist in the planning and organising of school events and functions (eg inter-house competitions, concerts, school plays, prize days etc). Communicate and meet with parents regularly promoting the GEMS philosophy and core values; keep parents regularly informed of students’ progress while respecting the confidentiality of student-related information Initiate effort and energy beyond the typical work day, where the tasks require additional commitment. Attend staff meetings and serve on committees as required. Perform other duties as requested by direct & dotted reporting line managers/supervisors.<br><br>Skills<br><br>Successful candidates will need to:<br><br>Embody and role model our core values of respect, innovation, leadership, purpose and tenacity Hold a B. Ed or Bachelors degree in relevant field with PGCE/PGDE or equivalent L5 teaching qualification Knowledge of the use of ICT in schools to aid teaching and learning Skilled teacher with solid commitment to teaching and learning and strong subject knowledge in relevant area Excellent communication skills able to build relationships with students and colleagues and contribute to wider school life Has at least 2 years teaching experience in relevant subject area/age group<br><br>GEMS Education is committed to safeguarding and promoting the welfare of all of its students and staff. A UK-enhanced DBS or equivalent police check is a pre-requisite for all appointments.

About Commercial Bank Of Qatar<br><br>Commercial Bank, founded in 1975 and headquartered in Doha, plays a vital role in Qatar’s economic development by offering a range of personal, business, government, international and investment services.<br><br>We believe in empowering our employees, providing them with opportunities for growth and professional development.<br><br>By Joining us, you’ll be part of a workplace culture that fosters innovation, supports work-life balance, and encourages you to reach your full potential.<br><br>Join us in shaping the future of banking!<br><br>Job Summary<br><br>Responsible for developing advanced machine learning models for banking use cases including pricing optimization, customer propensity modelling, and recommendation systems. This senior role requires deep expertise in statistical modelling and machine learning combined with substantial banking and financial services domain knowledge . The position focuses on translating complex business problems in areas such as Risk, Finance, Retail Banking, and Wholesale Banking into actionable ML solutions. Will leverage their understanding of banking products, regulatory requirements, and financial metrics to build models that drive measurable business value. The role requires a balance of domain expertise and technical capability, with sufficient programming skills in Python and SQL to develop and deliver working prototypes that can be transitioned to production.<br><br>Key Accountabilities<br><br>ML Model Development Design and develop machine learning models for pricing optimization, including dynamic pricing, rate optimization, and fee structures. Build propensity models for customer behavior prediction including churn, cross-sell, upsell, and product adoption. Develop recommendation systems for personalized product offerings, next-best-action, and customer engagement. Banking Domain Application Apply deep banking domain knowledge to frame business problems as ML solutions with measurable outcomes. Partner with Risk, Finance, and business units to identify high-value modeling opportunities. Ensure models incorporate relevant regulatory requirements, risk considerations, and business constraints. Analysis & Insights Conduct exploratory data analysis to identify patterns, relationships, and modeling opportunities in banking data. Translate model outputs into actionable business recommendations and insights. Develop model performance metrics aligned with business KPIs and financial outcomes. Create data visualizations and reports for stakeholder communication. Prototyping & Delivery Develop working prototypes in Python demonstrating model functionality and business value. Create clear documentation of model methodology, assumptions, limitations, and use cases. Collaborate with ML Engineers and AI Engineers to transition prototypes to production systems. Stakeholder Collaboration Partner with business stakeholders to understand requirements and validate model outputs. Present model results, methodology, and recommendations to senior management. Contribute to model governance, validation, and documentation requirements. Ensure compliance with data policies, ethical standards, and regulatory requirements.<br><br>Key Competencies<br><br>Machine Learning & Statistics Expert knowledge of supervised and unsupervised learning techniques for classification, regression, and clustering. Deep experience with pricing models, propensity modeling, and recommendation systems. Strong foundation in statistical analysis, hypothesis testing, and experimental design. Familiarity with deep learning frameworks (Tensor Flow, PyTorch) for advanced use cases. Banking Domain Expertise Comprehensive understanding of banking products (Retail or Corporate business), services, and customer lifecycle. Knowledge of Risk functions including credit risk, market risk, and operational risk frameworks. Understanding of Finance functions including P&L drivers, cost allocation, and profitability analysis. Familiarity with regulatory requirements affecting model development (IFRS 9, Basel, etc.). Technical Skills Python for data analysis and model development (pandas, scikit-learn, XGBoost, etc.). SQL – Advanced user (Stored Procedures, Window functions, Temp Tables, Recursive Queries). Experience with data visualization and reporting tools. Familiarity with Git (Git Hub/Git Lab) for version control. Basic understanding of Spark for large-scale data processing. Awareness of MLOps practices and model deployment concepts (MLflow, TFX). Communication & Collaboration Ability to translate complex analytical concepts into business language for non-technical stakeholders. Strong presentation skills for executive-level communication. Experience working with cross-functional teams across business and technology. Agile methodologies (Kanban, Scrum) experience.<br><br>Qualifications & Experience<br><br>Master's degree or PhD in Finance, Economics, Statistics, Mathematics, or quantitative field strongly preferred.8+ years of experience in data science or quantitative analysis roles. Minimum 5 years of experience in banking or financial services industry is mandatory. Proven track record of delivering ML models in pricing, propensity, or recommendation domains. Background in Risk, Finance, or quantitative functions within banking preferred. Experience with model validation, governance, and regulatory requirements in financial services. Professional certifications in Risk (FRM, PRM) or Finance (CFA) are a plus.<br><br>Why Commercial Bank?<br><br> Best Digital Bank in the Middle East 2024 by World Finance and Best Mobile Banking App in the Middle East 2024 by Global Finance. An Innovation-Driven, Digital-First Environment where employees work with the latest tools and technologies to redefine banking Opportunities for Global Partnerships & International Exposure, connecting employees with global networks and perspectives. A focus on Employee Well-being & Work-Life Balance, ensuring a healthy and supportive environment for all team members Competitive Compensation & Benefits that ensure our employees are rewarded for their dedication and performance A strong Commitment to Diversity, Equity & Inclusion, fostering a culture that values every individual’s unique perspective. <br><br>At Commercial Bank, we don’t just offer careers, We shape futures by pioneering digital transformation in Qatar’s banking sector, blending digital-first approach to redefine banking through innovative solutions.<br><br>Disclaimer<br><br>We appreciate your interest in joining CBQ! Please note that only selected candidates will be contacted for further steps in the hiring process. This job posting is for informational purposes only, and CBQ reserves the right to modify, withdraw, or close it at any time without notice.

About Commercial Bank Of Qatar<br><br>Commercial Bank, founded in 1975 and headquartered in Doha, plays a vital role in Qatar’s economic development by offering a range of personal, business, government, international and investment services.<br><br>We believe in empowering our employees, providing them with opportunities for growth and professional development.<br><br>By Joining us, you’ll be part of a workplace culture that fosters innovation, supports work-life balance, and encourages you to reach your full potential.<br><br>Join us in shaping the future of banking!<br><br>Job Summary<br><br>Responsible for developing advanced machine learning models for banking use cases including pricing optimization, customer propensity modelling, and recommendation systems. This senior role requires deep expertise in statistical modelling and machine learning combined with substantial banking and financial services domain knowledge . The position focuses on translating complex business problems in areas such as Risk, Finance, Retail Banking, and Wholesale Banking into actionable ML solutions. Will leverage their understanding of banking products, regulatory requirements, and financial metrics to build models that drive measurable business value. The role requires a balance of domain expertise and technical capability, with sufficient programming skills in Python and SQL to develop and deliver working prototypes that can be transitioned to production.<br><br>Key Accountabilities<br><br>ML Model Development Design and develop machine learning models for pricing optimization, including dynamic pricing, rate optimization, and fee structures. Build propensity models for customer behavior prediction including churn, cross-sell, upsell, and product adoption. Develop recommendation systems for personalized product offerings, next-best-action, and customer engagement. Banking Domain Application Apply deep banking domain knowledge to frame business problems as ML solutions with measurable outcomes. Partner with Risk, Finance, and business units to identify high-value modeling opportunities. Ensure models incorporate relevant regulatory requirements, risk considerations, and business constraints. Analysis & Insights Conduct exploratory data analysis to identify patterns, relationships, and modeling opportunities in banking data. Translate model outputs into actionable business recommendations and insights. Develop model performance metrics aligned with business KPIs and financial outcomes. Create data visualizations and reports for stakeholder communication. Prototyping & Delivery Develop working prototypes in Python demonstrating model functionality and business value. Create clear documentation of model methodology, assumptions, limitations, and use cases. Collaborate with ML Engineers and AI Engineers to transition prototypes to production systems. Stakeholder Collaboration Partner with business stakeholders to understand requirements and validate model outputs. Present model results, methodology, and recommendations to senior management. Contribute to model governance, validation, and documentation requirements. Ensure compliance with data policies, ethical standards, and regulatory requirements.<br><br>Key Competencies<br><br>Machine Learning & Statistics Expert knowledge of supervised and unsupervised learning techniques for classification, regression, and clustering. Deep experience with pricing models, propensity modeling, and recommendation systems. Strong foundation in statistical analysis, hypothesis testing, and experimental design. Familiarity with deep learning frameworks (Tensor Flow, PyTorch) for advanced use cases. Banking Domain Expertise Comprehensive understanding of banking products (Retail or Corporate business), services, and customer lifecycle. Knowledge of Risk functions including credit risk, market risk, and operational risk frameworks. Understanding of Finance functions including P&L drivers, cost allocation, and profitability analysis. Familiarity with regulatory requirements affecting model development (IFRS 9, Basel, etc.). Technical Skills Python for data analysis and model development (pandas, scikit-learn, XGBoost, etc.). SQL – Advanced user (Stored Procedures, Window functions, Temp Tables, Recursive Queries). Experience with data visualization and reporting tools. Familiarity with Git (Git Hub/Git Lab) for version control. Basic understanding of Spark for large-scale data processing. Awareness of MLOps practices and model deployment concepts (MLflow, TFX). Communication & Collaboration Ability to translate complex analytical concepts into business language for non-technical stakeholders. Strong presentation skills for executive-level communication. Experience working with cross-functional teams across business and technology. Agile methodologies (Kanban, Scrum) experience.<br><br>Qualifications & Experience<br><br>Master's degree or PhD in Finance, Economics, Statistics, Mathematics, or quantitative field strongly preferred.8+ years of experience in data science or quantitative analysis roles. Minimum 5 years of experience in banking or financial services industry is mandatory. Proven track record of delivering ML models in pricing, propensity, or recommendation domains. Background in Risk, Finance, or quantitative functions within banking preferred. Experience with model validation, governance, and regulatory requirements in financial services. Professional certifications in Risk (FRM, PRM) or Finance (CFA) are a plus.<br><br>Why Commercial Bank?<br><br> Best Digital Bank in the Middle East 2024 by World Finance and Best Mobile Banking App in the Middle East 2024 by Global Finance. An Innovation-Driven, Digital-First Environment where employees work with the latest tools and technologies to redefine banking Opportunities for Global Partnerships & International Exposure, connecting employees with global networks and perspectives. A focus on Employee Well-being & Work-Life Balance, ensuring a healthy and supportive environment for all team members Competitive Compensation & Benefits that ensure our employees are rewarded for their dedication and performance A strong Commitment to Diversity, Equity & Inclusion, fostering a culture that values every individual’s unique perspective. <br><br>At Commercial Bank, we don’t just offer careers, We shape futures by pioneering digital transformation in Qatar’s banking sector, blending digital-first approach to redefine banking through innovative solutions.<br><br>Disclaimer<br><br>We appreciate your interest in joining CBQ! Please note that only selected candidates will be contacted for further steps in the hiring process. This job posting is for informational purposes only, and CBQ reserves the right to modify, withdraw, or close it at any time without notice.

About Commercial Bank Of Qatar<br><br>Commercial Bank, founded in 1975 and headquartered in Doha, plays a vital role in Qatar’s economic development by offering a range of personal, business, government, international and investment services.<br><br>We believe in empowering our employees, providing them with opportunities for growth and professional development.<br><br>By Joining us, you’ll be part of a workplace culture that fosters innovation, supports work-life balance, and encourages you to reach your full potential.<br><br>Join us in shaping the future of banking!<br><br>Job Summary<br><br>Responsible for developing advanced machine learning models for banking use cases including pricing optimization, customer propensity modelling, and recommendation systems. This senior role requires deep expertise in statistical modelling and machine learning combined with substantial banking and financial services domain knowledge . The position focuses on translating complex business problems in areas such as Risk, Finance, Retail Banking, and Wholesale Banking into actionable ML solutions. Will leverage their understanding of banking products, regulatory requirements, and financial metrics to build models that drive measurable business value. The role requires a balance of domain expertise and technical capability, with sufficient programming skills in Python and SQL to develop and deliver working prototypes that can be transitioned to production.<br><br>Key Accountabilities<br><br>ML Model Development Design and develop machine learning models for pricing optimization, including dynamic pricing, rate optimization, and fee structures. Build propensity models for customer behavior prediction including churn, cross-sell, upsell, and product adoption. Develop recommendation systems for personalized product offerings, next-best-action, and customer engagement. Banking Domain Application Apply deep banking domain knowledge to frame business problems as ML solutions with measurable outcomes. Partner with Risk, Finance, and business units to identify high-value modeling opportunities. Ensure models incorporate relevant regulatory requirements, risk considerations, and business constraints. Analysis & Insights Conduct exploratory data analysis to identify patterns, relationships, and modeling opportunities in banking data. Translate model outputs into actionable business recommendations and insights. Develop model performance metrics aligned with business KPIs and financial outcomes. Create data visualizations and reports for stakeholder communication. Prototyping & Delivery Develop working prototypes in Python demonstrating model functionality and business value. Create clear documentation of model methodology, assumptions, limitations, and use cases. Collaborate with ML Engineers and AI Engineers to transition prototypes to production systems. Stakeholder Collaboration Partner with business stakeholders to understand requirements and validate model outputs. Present model results, methodology, and recommendations to senior management. Contribute to model governance, validation, and documentation requirements. Ensure compliance with data policies, ethical standards, and regulatory requirements.<br><br>Key Competencies<br><br>Machine Learning & Statistics Expert knowledge of supervised and unsupervised learning techniques for classification, regression, and clustering. Deep experience with pricing models, propensity modeling, and recommendation systems. Strong foundation in statistical analysis, hypothesis testing, and experimental design. Familiarity with deep learning frameworks (Tensor Flow, PyTorch) for advanced use cases. Banking Domain Expertise Comprehensive understanding of banking products (Retail or Corporate business), services, and customer lifecycle. Knowledge of Risk functions including credit risk, market risk, and operational risk frameworks. Understanding of Finance functions including P&L drivers, cost allocation, and profitability analysis. Familiarity with regulatory requirements affecting model development (IFRS 9, Basel, etc.). Technical Skills Python for data analysis and model development (pandas, scikit-learn, XGBoost, etc.). SQL – Advanced user (Stored Procedures, Window functions, Temp Tables, Recursive Queries). Experience with data visualization and reporting tools. Familiarity with Git (Git Hub/Git Lab) for version control. Basic understanding of Spark for large-scale data processing. Awareness of MLOps practices and model deployment concepts (MLflow, TFX). Communication & Collaboration Ability to translate complex analytical concepts into business language for non-technical stakeholders. Strong presentation skills for executive-level communication. Experience working with cross-functional teams across business and technology. Agile methodologies (Kanban, Scrum) experience.<br><br>Qualifications & Experience<br><br>Master's degree or PhD in Finance, Economics, Statistics, Mathematics, or quantitative field strongly preferred.8+ years of experience in data science or quantitative analysis roles. Minimum 5 years of experience in banking or financial services industry is mandatory. Proven track record of delivering ML models in pricing, propensity, or recommendation domains. Background in Risk, Finance, or quantitative functions within banking preferred. Experience with model validation, governance, and regulatory requirements in financial services. Professional certifications in Risk (FRM, PRM) or Finance (CFA) are a plus.<br><br>Why Commercial Bank?<br><br> Best Digital Bank in the Middle East 2024 by World Finance and Best Mobile Banking App in the Middle East 2024 by Global Finance. An Innovation-Driven, Digital-First Environment where employees work with the latest tools and technologies to redefine banking Opportunities for Global Partnerships & International Exposure, connecting employees with global networks and perspectives. A focus on Employee Well-being & Work-Life Balance, ensuring a healthy and supportive environment for all team members Competitive Compensation & Benefits that ensure our employees are rewarded for their dedication and performance A strong Commitment to Diversity, Equity & Inclusion, fostering a culture that values every individual’s unique perspective. <br><br>At Commercial Bank, we don’t just offer careers, We shape futures by pioneering digital transformation in Qatar’s banking sector, blending digital-first approach to redefine banking through innovative solutions.<br><br>Disclaimer<br><br>We appreciate your interest in joining CBQ! Please note that only selected candidates will be contacted for further steps in the hiring process. This job posting is for informational purposes only, and CBQ reserves the right to modify, withdraw, or close it at any time without notice.

Job Description<br><br>Responsibilities:** - Lead a department and ensure high standards of performance. - Develop and implement departmental policies and procedures. - Monitor and report on departmental performance. - Provide guidance and support to departmental staff. - Collaborate with stakeholders to align departmental goals with organizational objectives. **Skills:** - Strong leadership and organizational skills. - Excellent communication and interpersonal abilities. - Knowledge of departmental best practices and tools. **Requirements:** - Bachelor's degree in a relevant field. - 5+ years of experience in departmental management. - Proven track record of successful departmental leadership.<br><br>ISP Principles<br><br>Begin with our children and students. Our children and students are at the heart of what we do. Simply, their success is our success. Wellbeing and safety are both essential for learners and learning. Therefore, we are consistent in identifying potential safeguarding<br><br>and Health & Safety issues and acting and following up on all concerns appropriately.<br><br>Treat everyone with care and respect. We look after one another, embrace similarities and differences and promote the well-being of self and others.<br><br>Operate effectively. We focus relentlessly on the things that are most important and will make the most difference. We apply school policies and procedures and embody the shared ideas of our community.<br><br>Are financially responsible. We make financial choices carefully based on the needs of the children, students and our schools.<br><br>Learn continuously. Getting better is what drives us. We positively engage with personal and professional development and school improvement.<br><br>ISP Commitment to Safeguarding Principles<br><br>ISP is committed to safeguarding and promoting the welfare of children and young people and expects all staff and volunteers to share this commitment. All post holders are subject to appropriate vetting procedures, including an online due diligence search, references and satisfactory Criminal Background Checks or equivalent covering the previous 10 years' employment history.<br><br>ISP Commitment to Diversity, Equity, Inclusion, and Belonging<br><br>ISP is committed to strengthening our inclusive culture by identifying, hiring, developing, and retaining high-performing teammates regardless of gender, ethnicity, sexual orientation and gender expression, age, disability status, neurodivergence, socio-economic background or other demographic characteristics. Candidates who share our vision and principles and are interested in contributing to the success of ISP through this role are strongly encouraged to apply.

Job Description<br><br>Key Responsibilities<br><br>Plan lessons in advance and send plans via email to the Head of Level and Academic Coordinator.<br><br>Prepare and organize the necessary materials for classes.<br><br>Fulfill the objectives outlined in the general plans distributed at the beginning of the year.<br><br>Maintain the grade book up to date. Enter grades at the end of each evaluation period and semester, on or before deadlines.<br><br>Design and prepare monthly assessments for each topic.<br><br>Grade all assigned work.<br><br>Keep the classroom decorated with materials related to lessons, activities, and holidays.<br><br>Perform assigned playground supervision duties.<br><br>Collaborate with the Psychology Department to support students with academic or behavioral issues.<br><br>Work with the Academic Coordinator and psychologist to support students with special needs, including gifted learners.<br><br>Attend meetings with teachers, academic coordinators, and assistant principals.<br><br>Attend institutional workshops.<br><br>Participate in parent meetings and special school activities.<br><br>Comply with the established work schedule (departure time varies by grade level).<br><br>Act as a mediator between students and inform the psychologist of conflicts and/or refer students experiencing emotional, personal, or family issues.<br><br>Collaborate with the psychologist to organize community service projects and fundraising activities.<br><br>Assist and/or organize student participation in fairs and other activities.<br><br>Contact parents/guardians to invite them to meetings or special events when necessary.<br><br>Record daily attendance in the system or submit forms to the Academic Support Department.<br><br>Collect subject-specific assignments for portfolio organization according to level criteria, each evaluation period.<br><br>Assign a student to record homework and monitor the Homework Board, ensuring its proper use every two weeks.<br><br>Encourage student participation in subcommittees to promote teamwork and school activities.<br><br>Promote open communication with students and parents.<br><br>Encourage parents/guardians to attend meetings organized by ISP CBNH and PTA.<br><br>Consider students' special learning and socio-emotional needs and refer them to the Psychology Department.<br><br>Attend school in proper uniform and/or according to institutional policies.<br><br>Perform other duties related to the position.<br><br>Skills, Qualifications, And Experience<br><br>Field/Specialization: Bachelor's degree in Education, Psychology, or related fields. Master's Degree: Preferred<br><br>Additional Knowledge<br><br>Proficiency in digital tools Intermediate-level Microsoft Office skills<br><br>Competencies<br><br>Organization (Level 4) Planning (Level 4) Leadership (Level 3) Analytical Skills (Level 4) Ability to Work Under Pressure (Level 4) Communication (Level 4) Strategic Thinking (Level 4) English Level: Advanced (must be fluent in speaking, reading, and writing)<br><br>Work Experience<br><br>Required Minimum 2 years in education<br><br>ISP Principles<br><br>Begin with our children and students. Our children and students are at the heart of what we do. Simply, their success is our success. Wellbeing and safety are both essential for learners and learning. Therefore, we are consistent in identifying potential safeguarding<br><br>and Health & Safety issues and acting and following up on all concerns appropriately.<br><br>Treat everyone with care and respect. We look after one another, embrace similarities and differences and promote the well-being of self and others.<br><br>Operate effectively. We focus relentlessly on the things that are most important and will make the most difference. We apply school policies and procedures and embody the shared ideas of our community.<br><br>Are financially responsible. We make financial choices carefully based on the needs of the children, students and our schools.<br><br>Learn continuously. Getting better is what drives us. We positively engage with personal and professional development and school improvement.<br><br>ISP Commitment to Safeguarding Principles<br><br>ISP is committed to safeguarding and promoting the welfare of children and young people and expects all staff and volunteers to share this commitment. All post holders are subject to appropriate vetting procedures, including an online due diligence search, references and satisfactory Criminal Background Checks or equivalent covering the previous 10 years' employment history.<br><br>ISP Commitment to Diversity, Equity, Inclusion, and Belonging<br><br>ISP is committed to strengthening our inclusive culture by identifying, hiring, developing, and retaining high-performing teammates regardless of gender, ethnicity, sexual orientation and gender expression, age, disability status, neurodivergence, socio-economic background or other demographic characteristics. Candidates who share our vision and principles and are interested in contributing to the success of ISP through this role are strongly encouraged to apply.

Note: This is a long-term, stable part-time job that supports remote work. Please read the recruitment requirements carefully and fill out the application form accurately. Thank you.<br>WHAT YOU NEED to Have Doctorate PhD or equivalent advanced degree in the subject area Has published at least 5 papers in SCI / SSCI journals within/during the past Three years Thorough understanding of research methodologies and ethical principles within the relevant discipline Excellent analytical and critical thinking skills Strong written communication skills, with the ability to provide clear, concise, and constructive feedback Ability to adhere to deadlines and manage time effectively Commitment to maintaining confidentiality and objectivity Prior experience as a peer reviewer for academic journals is highly desirable Familiarity with online manuscript submission and review systems<br>WHAT YOU WILL DOAssess Novelty: Evaluate whether the manuscript is original and adds new knowledge or insights to the field of study. Evaluate Study Design and Methodology: Check whether the study design and methods are appropriate, comprehensive, and clearly described to ensure reproducibility. Literature Review: Ensure the manuscript thoroughly incorporates and cites relevant, up-to-date research in the field. Analyse Results and Conclusions: Determine whether results are presented clearly and appropriately, and whether conclusions are supported by the data and significant to the field. Provide Constructive Feedback: Suggest improvements and highlight any flaws, omissions, or ethical concerns. Recommend Publication: Based on your evaluation, the journal editor will decide whether the manuscript should be accepted, revised, or rejected.