80 Scientific Research & Development jobs in Qatar

• Perform the routine work and analysis of daily oil, water, and gas samples
  
• Prepare solutions and reagents following standard laboratory formulas and procedures
  
• Prepare, and maintain laboratory equipment, glassware, and instruments used in the analysis and experiments as appropriate
  
• Dealing with unknown and non-routine samples
  
• Follow up on the lab quality requirement and ISO 17025 accreditation
  
• Follow up on safety rules for shell
  
• Maintains lab equipment and conducts minor troubleshooting
  
• Perform calibration and verification for lab types of equipment
  
• Complies with chemical hazard/radiation safety standards
  
• Monitors inventory levels, orders materials, and lab accessories
  
• Maintains and operates different lab equipment e.g. ICP, HPLC, GC/MS, IR, XRD
  
• Perform other tasks and duties required in order to meet the requirements of the role and the aims in lab.
  

• Master's degree in chemistry, chemical engineering, or equivalent
  
• His/ her age is within or less than 38 years with a minimum of 10 years of experience in oil, gas, and water sample analysis.
  
• Experience in the oil and gas industries is highly recommended.
  
• Wide knowledge of safety rules and dealing with Chemicals.
  
• Sound knowledge of quality and ISO17025 accreditation.
  
• Have a wide experience in analytical instruments such as GC, GC/MS, ICP, and oil equipment such as distillation, flash point, and viscosity.
  
• Fluent in English speaking and writing.
  
• Experience in MS Office, MS team, Sample Manger (LIMS), and lab operation software such as Openlab
  

• Progress as a person as we work on the energy transition together.
  
• Continuously grow the transferable skills you need to get ahead.
  
• Work at the forefront of technology, trends, and practices.
  
• Collaborate with experienced colleagues with unique expertise.
  
• Achieve your balance in a values-led culture that encourages you to be the best version of yourself.
  
• Benefit from flexible working hours, and the possibility of remote/mobile working.
  
• Perform at your best with a competitive starting salary and annual performancerelated salary increase - our pay and benefits packages are considered to be among the best in the world.
  
• Take advantage of paid parental leave, including for non-birthing parents.
  
• Join an organisation working to become one of the most diverse and inclusive in the world. We strongly encourage applicants of all genders, ages, ethnicities, cultures, abilities, sexual orientation, and life experiences to apply.
  
• Grow as you progress through diverse career opportunities in national and
  
• international teams.
  
• Gain access to a wide range of training and development programmes.
  

• Minimum experience of 5 years in Oil and Gas laboratory.
• Fluent in spoken and written English.
  • Computer literate and ability to work with different laboratory software applications (LIMS, RIS etc.) and SAP for materials and maintenance management
    • Sound knowledge of applicable International Standards applicable in Refinery testing laboratory.
    • Good knowledge of IMS requirements.
      
      Qualifications
      
      • Minimum B.Sc. in Chemistry.

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.

Master's degree in a relevant field such as Data Science, Computer Science, Statistics, Mathematics, or Engineering.

• Minimum 6 years of experience in Data Science: Proven track record of developing and implementing machine learning models, advanced analytics solutions, and data-driven decision-making strategies.


• Industry Expertise: Experience working in the oil and gas industry, with a strong understanding of its challenges, processes, and data types (e.g., seismic data, production data, reservoir data).


• GenAI Expertise: Hands-on experience with Generative AI technologies, including building PoCs / solutions using large language models or other generative frameworks.


• Programming Languages: Proficiency in Python is required. Additional experience in Spark is a plus.


• Data Manipulation Tools: Good experience with SQL, Pandas, and other data processing tools.


• Machine Learning Frameworks: Experience with TensorFlow, PyTorch, Scikit-learn, or similar libraries.


• Cloud Platforms: Hands-on experience with cloud services such as Microsoft Azure including their AI and data services is a plus.


• Visualization Tools: Proficiency in Power BI, or similar visualization platforms.


• Big Data Technologies: Familiarity with Hadoop, Spark, or Databricks is an advantage.


• Statistical Analysis: Strong foundation in statistical modeling, hypothesis testing, and predictive analytics.


• Problem-Solving: Proven ability to translate complex business problems into actionable data science solutions.


• Collaboration: Strong track record of cross-functional collaboration, effectively communicating technical concepts, from foundational principles to advanced methodologies to diverse stakeholder audiences.


• Strong stakeholder management: Setting clear expectations, fostering trust through transparent communication, and applying empathy to build lasting, collaborative relationships.

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)

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.

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.

• 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.

• 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.

Databorn is a leading consulting firm that specialises in machine learning, marketing technology, and data management. Our team of over 350+ professionals worldwide is dedicated to delivering best-in-class solutions to large corporations in the financial, telco, oil & gas and retail industries. We leverage advanced analytics and big data to supercharge our clients' digital transformation and fuel their growth.

With offices in the UAE, KSA Databorn is a trusted partner for dozens of clients across the globe. Our expertise and experience enable us to implement solutions that drive business success and deliver measurable results. Whether you need help with data management, marketing technology, or machine learning, Databorn has the knowledge and skills to help you achieve your goals.

Our clients are major companies in the business and government sectors (main projects include fintech, retail, manufacturing, FMCG).

Benefits You'll Love

• Dedicated mentor
• Databorn and Partner vendor's training and certification opportunities
• Annual performance bonuses
• Annual performance review process
• Projects with the latest technologies and methodologies

We are seeking a skilled Data Scientist for our on-site projects in Qatar with a strong background in statistics and machine learning to solve complex business problems. The ideal candidate will work closely with stakeholders to translate business challenges into data-driven solutions, develop and deploy predictive models, and ensure successful project delivery and customer satisfaction.

Please note: This is a full-time, on-site position based in Qatar within the Fintech business area.
Being physically present in the office in Qatar is mandatory.

We offer relocation assistance (preferable option) or extended business trips totaling no less than 9 months per calendar year .

If you are open to considering this opportunity, we would be happy to discuss it further!

What You'll Do And What You'll Need

Your Responsibilities

• Business Problem Solving

• Business Problem Solving

• Model Development Deployment

• Project Delivery Documentation

• Customer Relationship Management

• Support Sales Project Growth

Experience & Skills We Are Looking For

Required

• Big Data Ecosystem: Hadoop
• Data Analysis: MS Excel for reporting and exploratory analysis
• Readiness to expanded business trips or Relocation to Qatar .
• Proficiency in English.
• Experience working with banking data, transactional data, or customer analytics
• Proficiency in Arabic

Leave your resume, and we will contact you

We are looking for an Senior Data Scientist for one of our clients with the following details:

Start Date: Dec-2025

End Date: Dec-2026 (possible extension)

Location: Doha, Qatar

Work status: Residential, Single

QUALIFICATIONS & EXPERIENCE

• Master's degree in a relevant field such as Data Science, Computer Science, Statistics, Mathematics, or Engineering.
• Minimum 6 years of experience in Data Science: Proven track record of developing and implementing machine learning models, advanced analytics solutions, and data-driven decision-making strategies
• Industry Expertise: Experience working in the oil and gas industry, with a strong understanding of its challenges, processes, and data types (e.g., seismic data, production data, reservoir data).
• GenAI Expertise: Hands-on experience with Generative AI technologies, including building PoCs/ solutions using large language models or other generative frameworks.
• Demonstrates mastery of the English language across spoken, written, and active listening skills, enabling clear, empathetic, and effective communication in diverse professional settings.

Technical & Soft Skills

• Programming Languages: Proficiency in Python is required. Additional experience in Spark is a plus.
• Data Manipulation Tools: Good experience with SQL, Pandas, and other data processing tools.
• Machine Learning Frameworks: Experience with TensorFlow, PyTorch, Scikit-learn, or similar libraries.
• Cloud Platforms: Hands-on experience with cloud services such as Microsoft Azure including their AI and data services is a plus.
• Visualization Tools: Proficiency in Power BI, or similar visualization platforms.
• Big Data Technologies: Familiarity with Hadoop, Spark, or Databricks is an advantage.
• Statistical Analysis: Strong foundation in statistical modeling, hypothesis testing, and predictive analytics.
• Problem-Solving: Proven ability to translate complex business problems into actionable data science solutions.
• Collaboration: Strong track record of cross-functional collaboration, effectively communicating technical concepts, from foundational principles to advanced methodologies to diverse stakeholder audiences.
• Strong stakeholder management: Setting clear expectations, fostering trust through transparent communication, and applying empathy to build lasting, collaborative relationships.

ACTIVITIES

Safety, Communication & working environment

• Uphold and be a role model for company's core values, incident free and approved behaviours.
• Help maintain motivation, team spirit and camaraderie.
• Continuously improve ways of working through 'inspect and adapt', fostering a growth and collaborative mindset on the different stakeholders the Digital team works with.
• Effectively engages with peers and leaders through clear communication, active listening, and relationship-building.
• Able to mentor junior team members, provide technical guidance, and leading data science projects to successful completion.

Study: Ideation and experimentation

• Lead, manage and conduct data science pilots (big data and / or GenAI, Machine Vision), MVP or UC in coordination with business and Digital Business Solutions SMEs.
• Conduct data science studies through complex quantitative analysis and modelling independently and efficiently.
• Develop algorithms and data driven analytical solutions to enable in-house use case building.
• Translate the output of analysis into practical recommendations.
• Proactively explores diverse analytical techniques and communicates foundational concepts with clarity, while effectively influencing strategic decisions through upward communication.

Use case: Envisioning & conceptualization

• Support use case framing providing input regarding company's readiness in terms of data and best modelling methodology for the use case idea.
• Participate proactively in the design strategy in terms of technological choices, implementation of platforms & definition of priority subjects under the leadership of the Lead Data Scientist.
• Create technical specifications of the models and requirements for integration for the technical scope of work.
• Understand company data sources and performs queries to translate business requirements into data-driven solutions.
• Ensure and develop relations with vendors (software/technological vendors and consulting firms) related to data science matters.
• Facilitate market scouting and vendor selection during Call for Tenders (CFT), evaluating bidders' technical capabilities.

Use case: Development

• Supervise and provide guidance for the execution of the vendor-led data analytics/science scopes of PoC, MVP and/or UCs.
• Coordinate with the Development head, PO and Scrums in case of any issues & contribute proactively to their resolution.
• Oversee the e2e design and implementation of analytics models by the vendors, ensuring the required quality.
• Provide feedback in sprint reviews, to the product owner, scrums and Digital management.
• Propose and animate communication related to data science in coordination with data management groups (is
• and technical depts.)
• Identify the needs of the technical departments in terms of analysis and visualization of structured and/or unstructured data through big data and/or data mining approaches.
• Support user acceptance testing of the models delivered by the vendors.
• Explain sophisticated data science concepts in an understandable manner.

Use case: roll-out

• Ensure and promote the adoption by the users of the concepts and possibilities provided by data science within the technical departments.
• Support the transition to project/use case mode & support the implementation and deployment at scale of big data and/or data analytics solutions.

Use case: Enhancements

• Support the required re-training and enhancement of the models.
• Develop algorithms and data driven analytical solutions to enable in-house enhancements development.
• Monitor new methods as well as software and hardware technologies and technological trends.
• Participate in the development of partnerships to develop solutions and/or methods.

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.

Computer Research Scientist

We are seeking a talented and innovative Computer Research Scientist to join our team in Al-Wakra, Qatar. As a member of our research team, you will be responsible for conducting original research and developing new technologies in the field of computer science. This is a contract position with a competitive salary of 1300$ per month.

Requirements:
- Minimum of 2 years experience in computer research
- Strong knowledge of programming languages such as Java, C++, and Python
- Experience with data analysis and machine learning techniques
- Ability to work independently and collaborate with a team
- Excellent communication skills and fluency in English

Preference will be given to Canadian candidates or those currently residing in Canada. Accommodation will not be provided for this position, so candidates must be able to secure their own living arrangements.

Join our dynamic team and contribute to cutting-edge research in the exciting field of computer science. Apply now!

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