27 Data Science jobs in Qatar

SWATX is seeking a highly skilled and experienced Data Science Manager to lead our growing data science team. In this strategic role, you will be responsible for overseeing the development and implementation of data-driven solutions to solve complex business challenges. You will mentor and guide a team of data scientists, driving innovation and excellence in analytics and machine learning. If you are a strong leader with a passion for data science and a proven track record of delivering impactful solutions, we invite you to join us.

Responsibilities:

• Lead and mentor a team of data scientists, providing guidance on best practices in data analysis, machine learning, and statistical modeling
• Develop and execute the data science strategy aligned with business objectives, ensuring that data-driven insights are integrated into decision-making processes
• Oversee the design and implementation of innovative data science projects that drive value for the organization
• Collaborate with cross-functional teams to identify opportunities for leveraging data to improve products, services, and operational efficiency
• Build and maintain strong relationships with stakeholders, understanding their data needs and ensuring timely delivery of insights
• Monitor and evaluate the performance of data science models and adjust strategies as necessary to achieve desired results
• Promote a data-driven culture within the organization by communicating the value of data science initiatives to stakeholders at all levels
• Stay updated on the latest trends and developments in data science and analytics, and integrate new methodologies and tools as appropriate
  
  

Requirements

• Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or a related field
• Proven experience in a data science role, with at least 5+ years of experience, including 2+ years in a managerial or leadership position
• Strong proficiency in programming languages such as Python, R, and experience with data manipulation and analysis libraries
• Solid understanding of machine learning algorithms, statistical methodologies, and data modeling techniques
• Experience with data visualization tools (e.g., Tableau, Power BI) to communicate findings effectively
• Excellent project management skills and ability to prioritize tasks in a fast-paced environment
• Strong analytical and problem-solving skills with attention to detail
• Exceptional communication skills, both verbal and written, in English and Arabic
• Proven capability to drive collaboration across teams and influence senior stakeholders
  
  

Preferable Certificates:

• Certified Data Scientist (CDS)
• Microsoft Certified: Azure Data Scientist Associate
• Google Cloud Professional Data Engineer

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SWATX is seeking a highly skilled and experienced Data Science Manager to lead our growing data science team. In this strategic role, you will be responsible for overseeing the development and implementation of data-driven solutions to solve complex business challenges. You will mentor and guide a team of data scientists, driving innovation and excellence in analytics and machine learning. If you are a strong leader with a passion for data science and a proven track record of delivering impactful solutions, we invite you to join us.

Responsibilities:

Lead and mentor a team of data scientists, providing guidance on best practices in data analysis, machine learning, and statistical modeling Develop and execute the data science strategy aligned with business objectives, ensuring that data-driven insights are integrated into decision-making processes Oversee the design and implementation of innovative data science projects that drive value for the organization Collaborate with cross-functional teams to identify opportunities for leveraging data to improve products, services, and operational efficiency Build and maintain strong relationships with stakeholders, understanding their data needs and ensuring timely delivery of insights Monitor and evaluate the performance of data science models and adjust strategies as necessary to achieve desired results Promote a data-driven culture within the organization by communicating the value of data science initiatives to stakeholders at all levels Stay updated on the latest trends and developments in data science and analytics, and integrate new methodologies and tools as appropriate

Requirements

Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or a related field Proven experience in a data science role, with at least 5+ years of experience, including 2+ years in a managerial or leadership position Strong proficiency in programming languages such as Python, R, and experience with data manipulation and analysis libraries Solid understanding of machine learning algorithms, statistical methodologies, and data modeling techniques Experience with data visualization tools (e.g., Tableau, Power BI) to communicate findings effectively Excellent project management skills and ability to prioritize tasks in a fast-paced environment Strong analytical and problem-solving skills with attention to detail Exceptional communication skills, both verbal and written, in English and Arabic Proven capability to drive collaboration across teams and influence senior stakeholders

Preferable Certificates:

Certified Data Scientist (CDS) Microsoft Certified: Azure Data Scientist Associate Google Cloud Professional Data Engineer

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SWATX is looking for a visionary and results-driven Senior Data Science Manager to join our leadership team. In this pivotal role, you will be responsible for overseeing the strategic direction and execution of data science initiatives across the organization. You will lead a talented team of data scientists, driving innovation in predictive modeling, machine learning, and advanced analytics. As a key contributor to our data strategy, you will collaborate closely with senior leadership and cross-functional teams to deliver impactful insights and solutions that enhance business performance.

Responsibilities:

1. Develop and implement the overall data science vision, strategy, and framework to align with organizational goals.
2. Lead a high-performing team of data scientists, fostering a culture of collaboration, innovation, and continuous learning.
3. Drive the execution of strategic data science projects, ensuring alignment with business objectives and delivery of actionable insights.
4. Collaborate with stakeholders to identify high-impact opportunities for modeling and analytics that can enhance decision-making and operational efficiency.
5. Oversee the design and implementation of complex machine learning algorithms and statistical models to solve business challenges.
6. Monitor industry trends and emerging technologies in data science and analytics, incorporating best practices into the team's methodologies.
7. Provide mentorship and professional development opportunities for team members to enhance their skill sets and career growth.
8. Present findings and recommendations to senior leadership, translating complex data insights into clear and actionable strategies.

SWATX is looking for a visionary and results-driven Senior Data Science Manager to join our leadership team. In this pivotal role, you will be responsible for overseeing the strategic direction and execution of data science initiatives across the organization. You will lead a talented team of data scientists, driving innovation in predictive modeling, machine learning, and advanced analytics. As a key contributor to our data strategy, you will collaborate closely with senior leadership and cross-functional teams to deliver impactful insights and solutions that enhance business performance.

Responsibilities:

1. Develop and implement the overall data science vision, strategy, and framework to align with organizational goals.
2. Lead a high-performing team of data scientists, fostering a culture of collaboration, innovation, and continuous learning.
3. Drive the execution of strategic data science projects, ensuring alignment with business objectives and delivery of actionable insights.
4. Collaborate with stakeholders to identify high-impact opportunities for modeling and analytics that can enhance decision-making and operational efficiency.
5. Oversee the design and implementation of complex machine learning algorithms and statistical models to solve business challenges.
6. Monitor industry trends and emerging technologies in data science and analytics, incorporating best practices into the team’s methodologies.
7. Provide mentorship and professional development opportunities for team members to enhance their skill sets and career growth.
8. Present findings and recommendations to senior leadership, translating complex data insights into clear and actionable strategies.

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SWATX is looking for a visionary and results-driven Senior Data Science Manager to join our leadership team. In this pivotal role, you will be responsible for overseeing the strategic direction and execution of data science initiatives across the organization. You will lead a talented team of data scientists, driving innovation in predictive modeling, machine learning, and advanced analytics. As a key contributor to our data strategy, you will collaborate closely with senior leadership and cross-functional teams to deliver impactful insights and solutions that enhance business performance.

Responsibilities: Develop and implement the overall data science vision, strategy, and framework to align with organizational goals. Lead a high-performing team of data scientists, fostering a culture of collaboration, innovation, and continuous learning. Drive the execution of strategic data science projects, ensuring alignment with business objectives and delivery of actionable insights. Collaborate with stakeholders to identify high-impact opportunities for modeling and analytics that can enhance decision-making and operational efficiency. Oversee the design and implementation of complex machine learning algorithms and statistical models to solve business challenges. Monitor industry trends and emerging technologies in data science and analytics, incorporating best practices into the team’s methodologies. Provide mentorship and professional development opportunities for team members to enhance their skill sets and career growth. Present findings and recommendations to senior leadership, translating complex data insights into clear and actionable strategies.

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Senior Data Science Analyst - Qatari Nationals only

Join to apply for the Senior Data Science Analyst - Qatari Nationals only role at Qatar Airways

Overview

As a Senior Data Science Analyst, you will lead a team of analysts to design and build analytics methodologies, solutions and products to deliver value where data is the basis for solutions. You will balance technical distinctions across data sets, mathematics and statistics, software such as machine learning, and connect them to business context and value by developing strategies and processes.

Responsibilities

• Plan strategies to operationalize revenue management goals by applying more data, science and technology to deliver results to meet revenue targets including RASK.
• Lead a team of analysts to deliver reliable, on-time revenue management and commercial data to reduce the time between a data point being generated and its usefulness to the business. Build and execute analytics work plans, gather and organize large and complex data sets, perform relevant analysis including data exploration and data modelling. Build and track data sources within the company and understand interrelations between datasets to drive value.
• Translate sophisticated data science concepts into understandable terms to help the business adopt and transform.
• Work with traditional revenue management data sources (pricing, inventory, market share) using skills in computer science, artificial intelligence, statistics and machine learning to deliver solutions that drive revenue.
• Interpret the requirements of Revenue Management and other stakeholders to develop efficient and reliable solutions that improve the quality of decisions to deliver revenue.
• Collaborate with IT stakeholders; lead IT investigations to create synergies and adopt common tools and technologies to analyze digital value.
• Compile statistical and supporting data to communicate findings, critical information and insights to the business and make recommendations to adapt strategies.
• Provide comprehensive reports with recommendations for management review and decision making; assess and report on benefits of data science tools, solutions and results to inform future investment or business cases.
• Apply knowledge of computer science, modelling, statistics, analytics and maths to propose solutions to new data processing challenges; problem-solve through data analysis with colleagues to identify data-related problems and address them.
• Identify challenges and opportunities from analyses and propose business improvement solutions; write code to deliver data-enabled solutions that drive personalization.
• Seek improvements in data storage and processing; contribute to implementation plans for data lake and cloud storage solutions.
• Understand Data Science as an evolving field and work with leadership to seek new solutions that deliver a competitive advantage.
• Develop constructive relationships with other areas of Commercial and IT to support the vision to deliver strong customer connections.
• Work with Senior Data Science Analysts to build solutions and collaborate with RM team to uncover insights that drive revenue and commercial outcomes.
• Guide the RM organization toward the goal of increased revenue by supporting managers with evidence-based recommendations.

Qualifications

• Bachelor's degree or Master's degree in Mathematics, Statistics, Computer Science or Engineering (essential)
• 6+ years of relevant experience
• Expert understanding of statistics, operations research, forecasting and optimization methods
• Strong understanding of airline business processes (Network Planning and Scheduling, e-commerce, Marketing and Sales)
• Excellent communication and negotiation skills; fluent in English
• Expert understanding of IT-related topics

About Qatar Airways

Our story started with four aircraft. Today, we deliver excellence across 12 different businesses. We've grown fast and pursue ambitious goals. Every person contributes to our proud story in a truly global community.

How To Apply

If you are interested in this role, please complete our application form and upload your CV for review and consideration.

Job Details

• Location: Doha, Qatar
• Job family: Corporate & Commercial
• Closing date: 08-Sep-2025
• Employment type: Full-time
• Job function: Information Technology
• Industries: Airlines and Aviation

Senior Data Science Analyst - Qatari Nationals only

Join to apply for the Senior Data Science Analyst - Qatari Nationals only role at Qatar Airways

Overview

As a Senior Data Science Analyst, you will lead a team of analysts to design and build analytics methodologies, solutions and products to deliver value where data is the basis for solutions. You will balance technical distinctions across data sets, mathematics and statistics, software such as machine learning, and connect them to business context and value by developing strategies and processes.

Responsibilities

• Plan strategies to operationalize revenue management goals by applying more data, science and technology to deliver results to meet revenue targets including RASK.
• Lead a team of analysts to deliver reliable, on-time revenue management and commercial data to reduce the time between a data point being generated and its usefulness to the business. Build and execute analytics work plans, gather and organize large and complex data sets, perform relevant analysis including data exploration and data modelling. Build and track data sources within the company and understand interrelations between datasets to drive value.
• Translate sophisticated data science concepts into understandable terms to help the business adopt and transform.
• Work with traditional revenue management data sources (pricing, inventory, market share) using skills in computer science, artificial intelligence, statistics and machine learning to deliver solutions that drive revenue.
• Interpret the requirements of Revenue Management and other stakeholders to develop efficient and reliable solutions that improve the quality of decisions to deliver revenue.
• Collaborate with IT stakeholders; lead IT investigations to create synergies and adopt common tools and technologies to analyze digital value.
• Compile statistical and supporting data to communicate findings, critical information and insights to the business and make recommendations to adapt strategies.
• Provide comprehensive reports with recommendations for management review and decision making; assess and report on benefits of data science tools, solutions and results to inform future investment or business cases.
• Apply knowledge of computer science, modelling, statistics, analytics and maths to propose solutions to new data processing challenges; problem-solve through data analysis with colleagues to identify data-related problems and address them.
• Identify challenges and opportunities from analyses and propose business improvement solutions; write code to deliver data-enabled solutions that drive personalization.
• Seek improvements in data storage and processing; contribute to implementation plans for data lake and cloud storage solutions.
• Understand Data Science as an evolving field and work with leadership to seek new solutions that deliver a competitive advantage.
• Develop constructive relationships with other areas of Commercial and IT to support the vision to deliver strong customer connections.
• Work with Senior Data Science Analysts to build solutions and collaborate with RM team to uncover insights that drive revenue and commercial outcomes.
• Guide the RM organization toward the goal of increased revenue by supporting managers with evidence-based recommendations.

Qualifications

• Bachelor’s degree or Master’s degree in Mathematics, Statistics, Computer Science or Engineering (essential)
• 6+ years of relevant experience
• Expert understanding of statistics, operations research, forecasting and optimization methods
• Strong understanding of airline business processes (Network Planning and Scheduling, e-commerce, Marketing and Sales)
• Excellent communication and negotiation skills; fluent in English
• Expert understanding of IT-related topics

About Qatar Airways

Our story started with four aircraft. Today, we deliver excellence across 12 different businesses. We’ve grown fast and pursue ambitious goals. Every person contributes to our proud story in a truly global community.

How To Apply

If you are interested in this role, please complete our application form and upload your CV for review and consideration.

Job Details

• Location: Doha, Qatar
• Job family: Corporate & Commercial
• Closing date: 08-Sep-2025
• Employment type: Full-time
• Job function: Information Technology
• Industries: Airlines and Aviation

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Senior Data Science Analyst - Qatari Nationals only

Join to apply for the

Senior Data Science Analyst - Qatari Nationals only

role at

Qatar Airways Overview

As a Senior Data Science Analyst, you will lead a team of analysts to design and build analytics methodologies, solutions and products to deliver value where data is the basis for solutions. You will balance technical distinctions across data sets, mathematics and statistics, software such as machine learning, and connect them to business context and value by developing strategies and processes. Responsibilities

Plan strategies to operationalize revenue management goals by applying more data, science and technology to deliver results to meet revenue targets including RASK. Lead a team of analysts to deliver reliable, on-time revenue management and commercial data to reduce the time between a data point being generated and its usefulness to the business. Build and execute analytics work plans, gather and organize large and complex data sets, perform relevant analysis including data exploration and data modelling. Build and track data sources within the company and understand interrelations between datasets to drive value. Translate sophisticated data science concepts into understandable terms to help the business adopt and transform. Work with traditional revenue management data sources (pricing, inventory, market share) using skills in computer science, artificial intelligence, statistics and machine learning to deliver solutions that drive revenue. Interpret the requirements of Revenue Management and other stakeholders to develop efficient and reliable solutions that improve the quality of decisions to deliver revenue. Collaborate with IT stakeholders; lead IT investigations to create synergies and adopt common tools and technologies to analyze digital value. Compile statistical and supporting data to communicate findings, critical information and insights to the business and make recommendations to adapt strategies. Provide comprehensive reports with recommendations for management review and decision making; assess and report on benefits of data science tools, solutions and results to inform future investment or business cases. Apply knowledge of computer science, modelling, statistics, analytics and maths to propose solutions to new data processing challenges; problem-solve through data analysis with colleagues to identify data-related problems and address them. Identify challenges and opportunities from analyses and propose business improvement solutions; write code to deliver data-enabled solutions that drive personalization. Seek improvements in data storage and processing; contribute to implementation plans for data lake and cloud storage solutions. Understand Data Science as an evolving field and work with leadership to seek new solutions that deliver a competitive advantage. Develop constructive relationships with other areas of Commercial and IT to support the vision to deliver strong customer connections. Work with Senior Data Science Analysts to build solutions and collaborate with RM team to uncover insights that drive revenue and commercial outcomes. Guide the RM organization toward the goal of increased revenue by supporting managers with evidence-based recommendations. Qualifications

Bachelor’s degree or Master’s degree in Mathematics, Statistics, Computer Science or Engineering (essential) 6+ years of relevant experience Expert understanding of statistics, operations research, forecasting and optimization methods Strong understanding of airline business processes (Network Planning and Scheduling, e-commerce, Marketing and Sales) Excellent communication and negotiation skills; fluent in English Expert understanding of IT-related topics About Qatar Airways

Our story started with four aircraft. Today, we deliver excellence across 12 different businesses. We’ve grown fast and pursue ambitious goals. Every person contributes to our proud story in a truly global community. How To Apply

If you are interested in this role, please complete our application form and upload your CV for review and consideration. Job Details

Location: Doha, Qatar Job family: Corporate & Commercial Closing date: 08-Sep-2025 Employment type: Full-time Job function: Information Technology Industries: Airlines and Aviation

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Assistant/ Associate Professor - Data Science and Artificial Intelligence

University of Doha for Science and Technology (UDST) was officially established by the Emiri Decision No13 of 2022, and it is the first national university specializing in academic applied, technical, and professional education in the State of Qatar. UDST has over 70 bacheloru2019s and masteru2019s degree programs, diplomas, and certificates. The university houses 5 colleges: The College of Business, the College of Computing and Information Technology, the College of Engineering and Technology, the College of Health Sciences, and the College of General Education, in addition to specialized training centers for individuals and companies. UDST is recognized for its student-centered learning and state-of-the-art facilities. Its world-renowned faculty and researchers work on developing the studentsu2019 skills and help raise well-equipped graduates who proudly serve different sectors of the economy and contribute to achieving human, social, and economic development goals nationally and internationally.

With more than 700 staff and over 8,000 students, UDST is the destination of choice for applied and experiential learning. The University is recognized for its student-centered learning and state-of-the-art facilities. Our faculty are committed to delivering pedagogically-sound learning experiences that incorporate innovative learning technologies. Our aim is to enhance studentsu2019 skills and help develop talented graduates who can effectively contribute to a knowledge-based economy and make Qataru2019s National Vision 2030 a reality.

Our eligible employees enjoy competitive compensation and benefits, in accordance with applicable UDST policies. These benefits include:

• Generous academic annual leave
• Tax free salary
• Fully furnished upmarket accommodation (inclusive of utilities: water & electricity)
• Annual flights for spouse and 3 children (up to 18 years old)
• Relocation/Shipping allowance
• International health insurance
• In-house immigration services (to help you through the residency process)
• Full access to our recreational facilities
• Research and professional development support

The College of Computing and Information Technology (CCIT) invites applications for the position of Assistant/Associate Professor in Data Science and Artificial Intelligence. Exceptional candidates at the rank of Full Professor would also be considered.

Your Commitment

The primary role of the faculty members at the College of Computing and IT is to promote high-quality applied learning, innovative research, and service. Besides, he/she should collaborate with the college management and the rest of faculty to achieve the collegeu2019s mission, deliver academic programs, pursue research, and engage in several administrative and academic services.

Reporting to the Department Head, the successful candidate will be responsible for the development, delivery and evaluation of a broad range of courses within Data Science and Artificial Intelligence. Particular areas of interest include Machine Learning, Deep Learning, Visualization and Intelligent Interaction, Industrial and Business Analytics, IoT Software and Systems, and IoT Intelligence and Automation, but candidates with strong expertise in other areas related to Data Science and Artificial Intelligence will also be considered. Other duties include evaluation of student progress and management of resources of the learning environment. The successful candidate will liaise with industry and other educational institutions; participate in industry advisory committees and coordinate, manage and control projects within the specified program area. Faculty members will keep course portfolio documents required for accreditation processes and engage in instructional development/improvement plans. All faculty are expected to contribute to professional and community life within the university and beyond.

Responsibilities

Education and Experience Requirements

Faculty members will be placed in the appropriate rank based on their education and experience (academic and/or industry). The broad criteria are provided below.

Education

PhD and a Masteru2019s degree in Data Science and Artificial Intelligence or closely related field from an internationally recognized university with an undergraduate degree from an accredited university.

Experience

A minimum of 3 years teaching experience in a post-secondary, adult training or industry training environment, along with preferably 3 years of employment experience as a practitioner/professional within the relevant discipline.

An active research agenda evidenced by high-quality publications in top tier journals and conference proceedings.

Demonstrated leadership in building engagement and partnership with the profession and industry.

Preferred Qualifications

Professional Certification in Data Science and Artificial Intelligence.

Diploma in Education (e.g., Post-secondary Education, Adult Education, and Vocational Education) is preferred.

6+ years of employment experience as a practitioner/professional within the relevant discipline.

Experience in leadership and innovation in technology-based projects.

For Associate Professor

Experience

A minimum of 8 years teaching experience in a post-secondary, adult training or industry training environment, along with preferably 3years of employment experience as a practitioner/professional within the relevant discipline.

A distinguished research record and international reputation evidenced by high quality publications in mainly top tier journals.

Excellent record of supervising research students.

Demonstrated leadership in building engagement and partnership with the profession and industry.

Preferred Qualifications

Professional Certification in Data Science and Artificial Intelligence.

Diploma in Education (e.g., Post-secondary Education, Adult Education, and Vocational Education) is preferred.

10+ years of employment experience as a practitioner/professional within the relevant discipline.

Teaching experience in post-secondary, adult training, or industry training environment.

Experience in leadership and innovation in technology-based projects.

Other Required Skills:

A thorough knowledge and work experience in Machine Learning, Deep Learning, Natural Language Processing, Statistical Learning and Modeling, and IoT applications. Candidates with strong expertise in other areas of Data Science and Artificial Intelligence will be considered as well.

Commitment to applied and experiential learning as a pedagogy and a key feature of UDSTu2019s mandate.

Ability to design, develop, deliver, and evaluate authentic learning experiences and assessments. These should incorporate contemporary tools and resources to maximize content learning in context, and to develop the knowledge, skills, competences and attitudes identified in program outcomes.

Digital literacy and demonstrated fluency in technology systems, and an ability to model and facilitate use of current and emerging digital tools to support research and learning.

Demonstrated ability to develop technology-enriched learning environments that enable students to be active participants in their own learning.

Commitment to the effectiveness, vitality, and self-renewal of the teaching profession through self-driven continuous professional development and life-long learning.

Effective oral and written communication skills.

Collaborative and collegial spirit and a demonstrated ability to establish rapport with learners, colleagues, sponsor-employers, and members of the community.

Ability to initiate applied research projects.

How to Apply

Applicants must meet all essential qualifications in order to be shortlisted for the position; other qualifications may be a deciding factor in the selection. Qualifications and experience will be assessed through your application, which may include but not be limited to curricula vitae, mock lectures, motivationletter, references, teaching dossiers and sample publications. It is the applicant’s responsibility to provide appropriate examples that illustrate how s/he meets each requirement. Failing to do so could result in the application being rejected. We thank all applicants for applying for the role; only those selected for further consideration will be contacted.

The First National Applied University offering applied Bachelor’s degrees and Master’s degrees in addition to certificates and diplomas in various .

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