86 Junior Data Scientist jobs in Qatar

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.

We are looking for a 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.

Accountabilities:

• To participate in the development of data science strategy and tactics to support the company's strategic objectives to become a data driven company.
• To promote data science & analytics to increase business insights to resolve business problems or support decisions making processes.
• Develop innovative PoCs and end-to-end data analytics solutions with high value adding in terms of business impact.
• Contribute and propose ways to maximize the value of geosciences, operations, HSE, CPD and MP, etc. data.
• To manage relationships with internal and external vendors for data science.

Education:

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

Experience:

• 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.

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.

Language proficiency:

• Demonstrates mastery of the English language across spoken, written, and active listening skills, enabling clear, empathetic, and effective communication in diverse professional settings.

We are looking for a 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.
• Excellent communication skills in English, both spoken and written, with the ability to effectively communicate complex technical concepts to diverse audiences.

Technical & Soft Skills

• Programming Languages: Proficiency in Python; experience with Spark is a plus.
• Data Manipulation Tools: Experience with SQL, Pandas, and other data processing tools.
• Machine Learning Frameworks: Experience with TensorFlow, PyTorch, Scikit-learn, or similar libraries.
• Cloud Platforms: Experience with cloud services such as Microsoft Azure, including AI and data services.
• Visualization Tools: Proficiency in Power BI or similar platforms.
• Big Data Technologies: Familiarity with Hadoop, Spark, or Databricks.
• Statistical Analysis: Strong foundation in statistical modeling, hypothesis testing, and predictive analytics.
• Problem-Solving: Ability to translate business problems into data science solutions.
• Collaboration: Experience working cross-functionally and communicating technical concepts effectively.
• Stakeholder Management: Ability to set expectations, foster trust, and build collaborative relationships.

Activities

Safety, Communication & Working Environment

• Uphold company values, promote incident-free work, and foster team spirit.
• Continuously improve working methods and promote a growth mindset.
• Engage effectively with peers and leaders through clear communication and relationship-building.
• Mentor junior team members, provide technical guidance, and lead data science projects.

Study: Ideation and Experimentation

• Lead data science pilots, MVPs, or use cases involving big data, GenAI, or machine vision.
• Conduct independent data analysis and develop algorithms to support in-house use cases.
• Translate analysis outputs into practical recommendations.
• Explore various analytical techniques and communicate concepts clearly to influence strategic decisions.

Use Case: Envisioning & Conceptualization

• Support use case framing, assess data readiness, and contribute to technological strategy.
• Create technical specifications and understand data sources for solution development.
• Manage vendor relations and participate in vendor selection processes.

Use Case: Development

• Supervise vendor-led data analytics/science projects, ensuring quality and timely delivery.
• Coordinate with project teams, provide feedback, and support testing and deployment.

Use Case: Roll-out

• Promote adoption of data science concepts within technical departments.
• Support transition and deployment of analytics solutions at scale.

Use Case: Enhancements

• Support model retraining and improvements.
• Monitor new technologies and participate in partnerships for developing solutions.

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.

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.

Accountabilities:

• To participate in the development of data science strategy and tactics to support the company’s strategic objectives to become a data driven company.
• To promote data science & analytics to increase business insights to resolve business problems or support decisions making processes.
• Develop innovative PoCs and end-to-end data analytics solutions with high value adding in terms of business impact.
• Contribute and propose ways to maximize the value of geosciences, operations, HSE, CPD and MP, etc. data.
• To manage relationships with internal and external vendors for data science.

Education:

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

Experience:

• 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.

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.

Language proficiency:

• Demonstrates mastery of the English language across spoken, written, and active listening skills, enabling clear, empathetic, and effective communication in diverse professional settings.

We are looking for a 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.

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.