96 Scientific Research & Development jobs in Qatar

Data Scientist

Work Location: Qatar

Core Responsibilities:

• Design, build, and optimize predictive models and machine learning algorithms using structured and semi-structured data.
• Perform data preprocessing, feature engineering, and model selection independently.
• Build and maintain automated model pipelines including training, validation, scoring, and monitoring.
• Implement model drift detection, retraining logic, and performance diagnostics.
• Conduct code-based model explainability (e.g. SHAP, LIME), support documentation for governance review.

Expertise Required

• Advanced proficiency in Python (Pandas, NumPy, Scikit-learn, XGBoost, LightGBM)
• Strong command of SQL and handling large datasets (via warehouse or lake)
• Experience deploying models using MLflow, Airflow, Docker, or similar tools
• Familiarity with model performance metrics (ROC AUC, F1, lift/gain, etc.)
• Hands-on in training and evaluating models for binary classification, multi-class, regression, or time series
• Exposure to deep learning (PyTorch or TensorFlow) for advanced use cases
• Working knowledge of embeddings, vector stores, or text-based models

Git-based versioning and reproducible ML workflow setup

We are Qatar Insurance Company (QIC), the leading insurance provider in GCC. With a history dating back to 1964, we have established ourselves as a pioneer in the insurance industry, offering innovative solutions to meet the diverse needs of individuals and businesses.

Our vision is to make QIC group become the first Digital Ecosystem in the region by combining insurance and non-insurance services in one platform. Through our digital platforms, such as qic.online and the QIC app, we empower customers to manage their needs anytime and anywhere.

Our employees have been featured in Forbes 30 under 30, teach at online universities, serve on program committees of major IT conferences, and have previously worked at Yandex, Tinkoff, Avito, Ozon, and other leading tech companies.

As a Senior Data Scientist, you will be at the forefront of our ML journey – building powerful, scalable models that target fraud, reduce losses, and drive revenue through smart recommendation systems. Your work directly influences key business outcomes and paves the way for our evolving AI capabilities.

Research and Model Development

• Analyze business tasks and formulate ML problem statements together with product teams
• Exploratory Data Analysis: exploring insurance data, identifying patterns and insights
• Feature Engineering: creating features from raw data (transactions, policies, claims, behavioral data)
• Model Prototyping: rapid validation of hypotheses and MVP solutions
• A/B Testing: designing experiments to validate ML solutions

Production Development

• Model deployment to production: from Jupyter notebook to production API
• ML pipeline setup: automation of training, validation, and deployment
• Real-time inference: integrating models into business processes (underwriting, claims processing)
• Performance optimization: accelerating inference, scaling workloads

Technical Skills

• Background with financial/insurance data is an advantage
• 5+ years of experience in ML/DS with a focus on product development
• Programming languages: Python (advanced level), SQL
• ML stack: scikit-learn, XGBoost, LightGBM, CatBoost, pandas, numpy
• Deep Learning: TensorFlow or PyTorch for NLP and recommendation systems
• MLOps: experience deploying models into production (Docker, CI/CD, monitoring)
• Big Data: PySpark or similar tools for large-scale datasets
• Git and collaborative development
• Feature Engineering: creating and selecting features for various types of data
• Model Validation: cross-validation, A/B testing, quality metrics
• Statistics: probability theory, hypothesis testing, confidence intervals
• Working with imbalanced data (critical for anti-fraud tasks)
• Time Series Analysis: forecasting and trend analysis
• Model interpretability: SHAP, LIME to explain results to business stakeholders

• Long-term service agreement contract with QIC with 3 months probation period
• We are diverse — our digital nomads work remotely from 20+ different countries
• Payment in US dollars monthly to your bank account using SWIFT
• Full-time remote, work schedule: 5 days per week, Sunday to Thursday, GMT +3 timezone
• Vacation policy: Qatar Holiday Calendar, 20 vacation days, 10 sick offs, and 3 mental health days
• Performance reviews are conducted twice a year, with the possibility of a raise
• Potential opportunity to apply for a Qatar ID and relocation to Doha, Qatar

Master communication. Learn English, Arabic—or any second language of your choice.

Wellbeing isn’t optional. Get access to services like Yasno—with 70% covered—and recharge with 3 extra Mental Health Days each year.

We’ll guide you through the complexity of local and international tax rules.

Your growth is our shared goal. We’ll support it with $600/year for additional courses, plus internal workshops.

Join our Strava club for weekly motivation, coaching, and marathon support.

Get paid in USD, EUR, or AED—whichever fits your setup best.

Enjoy generous vacation time, paid sick leave, and bonus days for years of service.

We are open to working with new stacks and technologies that can help us build the best solutions on the market

Computer Research Scientist
As a Computer Research Scientist at our company in Al-Wakra, Qatar, you will be responsible for conducting advanced research in the field of computer science. This is a full-time position open to individuals of any nationality, with a preference for Indian candidates. We also welcome applications from women who are passionate about computer science.

Your main duties will include conducting research experiments, analyzing data and results, and developing innovative solutions to complex problems in the field of computer science. You will work closely with a team of researchers to gather and interpret data, identify trends and patterns, and develop new algorithms and software applications.

To excel in this role, you should have a strong background in computer science, with a focus on research methods and data analysis techniques. A degree in computer science or a related field is required, along with excellent problem-solving skills and attention to detail.

While prior experience is preferred, we are open to hiring individuals without prior work experience in this field. We believe that passion and drive are more important than years of experience. However, some knowledge or exposure to research methods and data analysis would be beneficial.

We also welcome candidates who have their own visa or are willing to obtain one as our company does not provide visa sponsorship. This is an excellent opportunity for individuals who are looking for stable employment with the flexibility to manage their own visa status.

As an equal opportunity employer, we value diversity and encourage candidates from different backgrounds to apply. We offer a supportive work environment where you can learn from experienced researchers while also contributing your unique perspectives.

In addition to competitive compensation packages, we also offer opportunities for professional development through conferences, workshops, and training programs. We believe in investing in our employees' growth and providing them with the resources they need to succeed.

If you are passionate about computer science and eager to make a difference through your research work, we would love to hear from you! Apply now for the position of Computer Research Scientist and join our dynamic team in Al-Wakra, Qatar.

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The Data Scientist focuses on developing algorithms, data analysis, and insights to drive business innovation and efficiency. This role involves working with large datasets, developing predictive models, and collaborating with cross-functional teams to deliver data-driven solutions.

1. Develop and implement data science projects, including the design and development of algorithms and models.
2. Collaborate with stakeholders to understand business requirements and translate them into data science solutions.
3. Analyze large datasets to extract insights, identify trends, and support decision-making.
4. Develop and validate predictive models, machine learning algorithms, and statistical analyses.
5. Ensure the accuracy, quality, and relevance of data science outputs.
6. Stay updated with the latest advancements in data science and machine learning, applying them to enhance solutions.
7. Provide support and guidance to other team members as needed.
8. Ensure compliance with data governance, security, and regulatory standards in all data science activities.
9. Prepare and present data science reports and documentation to senior management and stakeholders.
10. Participate in project planning and contribute to the development of project timelines and deliverables.
11. Perform other duties relevant to the job as assigned by the Sr. Data Scientist or senior management.

• Bachelor’s degree in Data Science, Computer Science, Statistics, or a related field.
• Relevant certifications (e.g., Certified Data Scientist, Google Cloud Professional Data Engineer) are preferred.
• Minimum of 3 years of experience in data science or related fields.
• Experience in developing and implementing data science solutions for AI or technology-focused products.
• Strong programming skills in languages such as Python, R, or SQL.
• Proficiency in data science tools and frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).
• Excellent problem-solving and analytical skills.
• Strong communication and interpersonal skills.
• Attention to detail and commitment to quality.
• In-depth understanding of data science principles, machine learning algorithms, and statistical analysis.
• Familiarity with data visualization tools (e.g., Tableau, Power BI).
• Knowledge of data governance, security, and regulatory standards.
• Ability to manage multiple tasks and prioritize effectively.
• Strong attention to detail and commitment to delivering high-quality work.
• Ability to work independently and as part of a team.

Position: Senior Data Scientist

Location: Qatar (Residential, 5 days per week)

Start Date: December 2025

Contract Duration: 12 months (with potential extension, subject to client approval)

Overview

We are seeking a highly skilled Senior Data Scientist to drive innovation and deliver impactful data science solutions within a global energy organisation. This is an exciting opportunity to play a leading role in shaping the company's transition into a truly data-driven business.

Working at the intersection of digital transformation and energy, you will design, build, and deploy advanced analytics and AI-driven solutions that improve operational performance, enable smarter decision-making, and unlock new value streams.

Key Responsibilities

Strategy & Leadership

• Support the development of data science strategy to align with business objectives.
• Promote analytics and AI adoption across the business to enhance insights and problem-solving.
• Mentor and guide junior team members while leading high-impact projects from ideation to delivery.

Innovation & Development

• Lead and manage proof-of-concepts (PoCs), MVPs and use cases (including big data, machine learning, GenAI, and computer vision).
• Conduct complex quantitative analysis, modelling, and algorithm development.
• Translate analytical outputs into practical business recommendations.
• Collaborate with vendors and internal stakeholders to ensure delivery of quality solutions.

Collaboration & Execution

• Work closely with business units (geoscience, operations, HSE, supply chain, etc.) to understand challenges and develop tailored solutions.
• Support integration of analytics solutions into existing platforms and workflows.
• Ensure user adoption and provide technical support during roll-out and scaling.

Continuous Improvement

• Enhance models through re-training and fine-tuning.
• Monitor emerging technologies, methods, and industry best practices.
• Build partnerships with technology providers and research groups to stay ahead of trends.

Qualifications & Experience

• Master's degree in Data Science, Computer Science, Statistics, Mathematics, or Engineering.
• Minimum 6 years' professional experience in data science, including hands-on delivery of machine learning and advanced analytics projects.
• Strong industry experience in oil & gas , with knowledge of seismic, production, or reservoir data.
• Expertise in Generative AI , with proven experience developing solutions using LLMs or similar frameworks.
• Proficiency in Python , SQL, and data manipulation libraries (e.g. Pandas).
• Strong experience with machine learning frameworks (TensorFlow, PyTorch, Scikit-learn).
• Familiarity with cloud platforms (Azure preferred) and big data tools (Hadoop, Spark, Databricks).
• Skilled in data visualisation (Power BI or similar).
• Excellent communication and stakeholder management skills, with the ability to translate complex technical concepts for diverse audiences.

What's on Offer

• Work on cutting-edge digital and AI projects within a leading energy organisation.
• Opportunity to influence strategy and innovation at scale.
• Collaborative, forward-thinking environment with exposure to global teams.
• Competitive package and long-term career development prospects.

About Commercial Bank of Qatar:

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. We believe in empowering our employees, providing them with opportunities for growth and professional development.

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.

Join us in shaping the future of banking!

Job Summary:

At Commercial Bank, data is a key driver in strategic decision making; the incumbent is required to have a thorough understanding of data analytics, data management principles and have ability to help the bank derive maximum value from the data available. Previous experience with data science and advanced analytical techniques, as well as AI and Machine Learning in a banking context would be a major success factor. The skills needed for the Data Scientist include technical knowledge and problem-solving and focus on delivery. The prospective candidate is expected to help take the bank’s data science capabilities to the next level; building on a good foundation but accelerating both the capability development and the exploitation of benefits.

Key Accountabilities

• Lead the discovery processes with stakeholders to identify business requirements and expected outcomes by modelling complex problems, discovering insights and identifying opportunities through the use of statistical, algorithmic, mining and visualization techniques.
• Apply data mining techniques, perform statistical analysis, and build high quality prediction systems relevant to the business and its operations,
• Expected to discover information hidden in the vast amount and variety of big data sources and perform statistical analysis to produce business insights e.g. market trends, customer profile and segments, association analysis, predicted behaviour) that will enable the company to make better business decisions.
• Lead the utilization of various machine learning-based tools and processes such as regression, clustering principle component analysis and others within the Commercial Department.
• Model and frame business scenarios that are meaningful and which impact critical business decisions and processes.
• Identify what data is available and relevant, including internal and external data sources, leveraging new data collection processes such as smart meters and geo location information or social media.

Make strategic recommendations on data collection, integration and retention requirements incorporating business requirements and knowledge of best practices.

• Develop innovative and effective approaches to solve analytical problems and communicates the results and methodologies
• Validate findings/test hypotheses using an experimental and iterative approach e.g. scenario modelling Identify/create the appropriate algorithm to discover patterns

Qualifications & Experience

Minimum Qualifications:

Bachelor's Degree or an equivalent professional qualification

Minimum Experience:

• Python or R capability
• Min. 2 years of experience of modelling complex problems, discovering insights and identifying opportunities through the use of statistical, algorithmic, mining and visualization techniques, integrating and preparing large, varied massive datasets, architecting specialized database and computing environments and communicating the results to the business
• Expertise in reports and analysis of complex customer and/or commercial data.
• Specialist skills in research methodologies, consumer behavior, and market research activities.
• Specialist skills with Microsoft Excel.
• Specialist skills in different analytical and visualization systems and tools such as SSRS, SQL, Power BI, Cognos, etc.
• Skills in data extraction, transformation and visual analytics.
• Skills in customer service / customer success / customer experience or engagement
• Excellent written and spoken English.

Knowledge, & Other skills:

•Knowledge of banking products

•Excellent written and spoken English

Why Commercial Bank?

• Best Performing Bank in Qatar in The Banker’s prestigious Top 1000 World Banks Rankings 2025.
• 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

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.

Disclaimer:

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.

Position: Senior Data Scientist

Location: Qatar (Residential, 5 days per week)

Start Date: December 2025

Contract Duration: 12 months (with potential extension, subject to client approval)

Overview

We are seeking a highly skilled Senior Data Scientist to drive innovation and deliver impactful data science solutions within a global energy organisation. This is an exciting opportunity to play a leading role in shaping the company's transition into a truly data-driven business.

Working at the intersection of digital transformation and energy, you will design, build, and deploy advanced analytics and AI-driven solutions that improve operational performance, enable smarter decision-making, and unlock new value streams.

Key Responsibilities

Strategy & Leadership

• Support the development of data science strategy to align with business objectives.
• Promote analytics and AI adoption across the business to enhance insights and problem-solving.
• Mentor and guide junior team members while leading high-impact projects from ideation to delivery.

Innovation & Development

• Lead and manage proof-of-concepts (PoCs), MVPs and use cases (including big data, machine learning, GenAI, and computer vision).
• Conduct complex quantitative analysis, modelling, and algorithm development.
• Translate analytical outputs into practical business recommendations.
• Collaborate with vendors and internal stakeholders to ensure delivery of quality solutions.

Collaboration & Execution

• Work closely with business units (geoscience, operations, HSE, supply chain, etc.) to understand challenges and develop tailored solutions.
• Support integration of analytics solutions into existing platforms and workflows.
• Ensure user adoption and provide technical support during roll-out and scaling.

Continuous Improvement

• Enhance models through re-training and fine-tuning.
• Monitor emerging technologies, methods, and industry best practices.
• Build partnerships with technology providers and research groups to stay ahead of trends.

Qualifications & Experience

• Master's degree in Data Science, Computer Science, Statistics, Mathematics, or Engineering.
• Minimum 6 years' professional experience in data science, including hands-on delivery of machine learning and advanced analytics projects.
• Strong industry experience in oil & gas , with knowledge of seismic, production, or reservoir data.
• Expertise in Generative AI , with proven experience developing solutions using LLMs or similar frameworks.
• Proficiency in Python , SQL, and data manipulation libraries (e.g. Pandas).
• Strong experience with machine learning frameworks (TensorFlow, PyTorch, Scikit-learn).
• Familiarity with cloud platforms (Azure preferred) and big data tools (Hadoop, Spark, Databricks).
• Skilled in data visualisation (Power BI or similar).
• Excellent communication and stakeholder management skills, with the ability to translate complex technical concepts for diverse audiences.

What's on Offer

• Work on cutting-edge digital and AI projects within a leading energy organisation.
• Opportunity to influence strategy and innovation at scale.
• Collaborative, forward-thinking environment with exposure to global teams.
• Competitive package and long-term career development prospects.

Zahrawi Group is a leading company in the GCC Healthcare Industry with its presence in UAE, KSA, Qatar, Bahrain, & Oman markets. The company supplies and distributes high-quality products and services to Hospitals, Clinics, Laboratories, & Analytical Industries.

The incumbent will be responsible to promote products and services to customers, discover and pursue new sales prospects, negotiate contracts, and maintain customer satisfaction with the aim of maximizing profits.

• Adhere to all Zahrawi Policies & Procedures as applicable.

Market Knowledge:

• Conducting market research to identify new potential customers.
• Analyzing market trends to identify new products in the market and understanding their advantages and disadvantages.
• Planning and assisting with new product releases and events.
• Maintaining technical knowledge by attending educational workshops, reviewing professional publications, establishing personal networks, benchmarking state-of-the-art practices, and participating in professional societies.

Business Development:

• Establishing contact with new customers to inform them of our products, understanding their needs and how we can help them.
• Providing potential customers with support, information, and guidance by performing product demonstrations and gathering their feedback.
• Following up with the new customers after the demo session to negotiate contracts and packages.
• Ensuring all details of the contract are compliant with our rules & regulations.

Marketing:

• Coordinating with the Marketing Department for any new materials that need to be developed.
• Maintaining relationships with existing customers by providing them with support, information, and guidance.
• Recommending new products to existing customers as per their needs and providing them with support, information, and guidance to ensure a great relationship with them.
• Providing existing customers with support, information, and guidance by performing product demonstrations and gathering their feedback.
• Assisting customers in answering all product-related questions in a professional and timely manner.
• Recommending new service improvements to further build on the relationship.
• Advising helpful new product recommendations and suggestions to customers to increase revenue.
• Negotiating contracts and packages with existing customers.
• Maintaining quality service by establishing and enforcing Zahrawi standards.
• Contributing to the team effort by achieving the annual target set by the management and assisting the team when needed.

Data Track:

• Preparing reports by collecting, analyzing, and summarizing information and maintaining accurate records of all products sold.

Orders:

• Placing orders to the concerned purchase coordinator.
• Following up with the Procurement & Logistics team regarding sending products and ensuring timely delivery.

Invoicing:

• Coordinating with the Finance Department to ensure proper invoicing of the products and following up with them regarding collection/payment.

Delivery:

• Coordinate with the warehouse for timely deliveries.

Application:

• Troubleshooting of the instruments.
• Introduction and demo of new products to end users.
• Technical data – matching and filling the project specification sheets and requirements.
• Preparing and suggesting the consumables lists by studying the needs of each customer to promote reagents and consumables sales.
• Attending customer calls regarding supply and informing the sales team.
• Coordinating conferences and materials.
• Conducting workshops and providing application training.
• Completing the validation process of every product in MBU.

Support:

• Support the Sales Team in handling projects in terms of specifications and technical comparison discussions with end users.
• Coordinate with service engineers for installations, PMs, and rectifications.
• Coordinate with the sales team to gather insights on competition and provide scientific arguments.
• Assist sales teams during technical discussions.
• Prepare training certificates for customer training attendees.

Service Team Coordination:

• Coordinate with service engineers for installations, PMs, and rectifications and plan trainings accordingly.

Communication with Principal Companies:

• Communicate with principals on technical information.
• Communicate with principals on any customer queries that cannot be resolved internally.
• Keep updated with the latest training schedules and training materials.
• Attend all relevant webinars conducted by the principals.
• Transfer new technical information received from the principal company internally to all concerned persons.

REQUIREMENTS

• Education: Bachelors Degree in Medical Lab/Biotechnology or related science.
• Experience: 2+ years experience in NGS and Bioinformatics.
• Job Specific Skills: Strong hands-on experience with NGS workflows, including library preparation, sequencing, data analysis, and interpretation.
  • Able to perform sequencing runs across a variety of applications e.g., whole genome sequencing, RNA-Seq, exome sequencing, etc.
  • Experience working with NGS platforms (Illumina, PacBio, Oxford Nanopore, 10X genomics, etc.)
• Additional details: Candidates are preferred to be based in Qatar and willing to move on a company visa.

Copyright Al-Zahrawi Medical Supplies Est 2019 All rights reserved.

The Sr. Technical Writer creates and maintains technical documentation for AI products. This role involves writing clear and concise user guides, technical manuals, and online help systems to ensure users understand and effectively utilize AI solutions.

• Develop and maintain technical documentation for AIproducts, including user guides, technical manuals, and online help systems.
• Collaborate with product managers, engineers, and otherstakeholders to gather information and understand documentation requirements.
• Write clear, concise, and accurate documentation that meetsuser needs and industry standards.
• Conduct reviews and usability testing of documentation toensure clarity and effectiveness.
• Create and maintain templates, style guides, anddocumentation standards to ensure consistency across all documentation.
• Stay updated with the latest trends and best practices intechnical writing and apply them to improve documentation quality.
• Provide training and support to team members ondocumentation tools and best practices.
• Prepare and present documentation proposals and reports tosenior management and stakeholders.
• Participate in project planning and contribute to thedevelopment of project timelines and deliverables.
• Perform other duties relevant to the job as assigned by theHead of AI Products & Development or senior management.
  

• Bachelor’s degree in Technical Writing, English,Communication, or a related field
• Relevant certifications (e.g., Certified ProfessionalTechnical Communicator (CPTC)) are preferred
• Minimum of 5 years of experience in technical writing orrelated fields
• Experience in writing documentation for AI ortechnology-focused products
• Strong writing and editing skills
• Excellent communication and interpersonal skills
• Proficiency in technical writing tools (e.g., MadCap Flare,Adobe FrameMaker)
• Strong organizational and project management skills
• In-depth understanding of technical writing principles andbest practices
• Familiarity with AI technologies and product developmentprocesses
• Knowledge of documentation standards and guidelines
• Ability to manage multiple tasks and prioritize effectively
• Strong attention to detail and commitment to deliveringhigh-quality work
• Ability to work independently and as part of a team
• Technical writing tools (e.g., MadCap Flare, AdobeFrameMaker)
• Collaboration and communication tools (e.g., Slack,Microsoft Teams)
• Documentation management systems (e.g., Confluence,SharePoint)