34 Data Intelligence jobs in Qatar

Doha Bank is seeking a strategic and visionary leader to head its Data Intelligence & Analytics department. This high-impact role reports directly to the Chief Information Officer and is responsible for driving the Bank's enterprise-wide data strategy, governance, and analytics capabilities. You will lead a multidisciplinary team focused on unlocking the power of data to improve performance, reduce risk, and enhance operational efficiency across all business functions.

Overview

Doha Bank is seeking a strategic and visionary leader to head its Data Intelligence & Analytics department. This high-impact role reports directly to the Chief Information Officer and is responsible for driving the Bank’s enterprise-wide data strategy, governance, and analytics capabilities. You will lead a multidisciplinary team focused on unlocking the power of data to improve performance, reduce risk, and enhance operational efficiency across all business functions.

• Lead the enterprise data strategy, governance, and analytics capabilities.
• Direct a multidisciplinary team to unlock the power of data to improve performance, reduce risk, and enhance operational efficiency across all business functions.

The original description does not provide qualifications. It references a detailed job description and application link, but no link is included in the text provided.

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
  
  

• 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
  
  

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

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
  
  

• 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
  
  

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

Job title

Manager Data Science | Revenue Management

Ref #

Location

Qatar - Doha

Job family

Corporate & Commercial

• Closing date: 30-Sep-2025

About the role

Welcome to a world where ambition propels success

We are pleased to announce an exciting opportunity to be part of our Revenue Management Team as a Manager Data Science in Doha

In this role, you will play a significant part in leading a team of skilled data scientists, developing advanced analytical models, and ensuring the effective utilization of data-driven insights to enhance our revenue management practices. You will harness the power of data to drive strategic decisions and optimize revenue performance.

You will collaborate closely with various stakeholders, including commercial, pricing, finance, and operations teams, to identify opportunities for revenue growth and implement data-driven solutions that align with our overall business objectives.

Specific responsibilities include:

• Responsible in shaping our data science strategy, staying abreast of industry trends, and continuously improving our analytical capabilities
• Develop predictive models, pricing algorithms, and demand forecasting tools that will enable RM Managers to make informed decisions and stay competitive in the dynamic airline industry.
• Collaborate with business and technology partners across various departments to deploy AI & ML-powered solutions, aiming to drive incremental revenue, enhance customer engagement, and automate manual processes using state-of-the-art ML techniques
• Collaborate with cross-functional teams to define problem statements, hypotheses, and success metric
• Utilize advanced analytical techniques (e.g., machine learning, statistical modelling) to analyze complex datasets, identify trends, and develop predictive models.
• Work with data engineering teams to deploy and maintain data science models in a production environment ,ensuring their accuracy and effectiveness.
• Manage data science projects ,fostering relationships with stakeholders, and ensure the effective deployment of AI and machine learning models.
• Oversee the design, development and deployment of data science projects, ensuring they align with business objectives and timelines
• Build and maintain strong relationships with stakeholders across different departments(e.g. Corporate Planning,B2C,IT,Finance) to understand their needs and ensure the effective integration of data-driven solutions.
• Coach and mentor team members for their development and successful project delivery
• Lead and manage a team of Data Scientists to deliver high-quality, production-scale ML models with measurable business impact across multiple business/product verticals.

Be part of an extraordinary story

Your skills. Your imagination. Your ambition. Here, there are no boundaries to your potential and the impact you can make. You'll find infinite opportunities to grow and work on the biggest, most rewarding challenges that will build your skills and experience. You have the chance to be a part of our future, and build the life you want while being part of an international community.

Our best is here and still to come. To us, impossible is only a challenge. Join us as we dare to achieve what's never been done before.

Together, everything is possible.

About you

The successful candidate will have the following skills and qualifications:

• Bachelor's degree or equivalent ( Example: Mathematics and Statistics, Computer Science or Engineering or any related field) with minimum of 8 years job -related experience.
• Expertise in statistical analysis, machine learning, data engineering, operations research, forecasting and optimization methods
• Strong background in statistical analysis, optimization techniques, and predictive modeling. Well-versed in AI and ML methodologies.
• Experience in handling large datasets, using data mining tools, and developing algorithms is preferred.
• Excellent programming skills in languages such as Python, R, or SQL.
• Good understanding of Airline business process, including Network planning, scheduling, Marketing, Sales, Digital (Customer behavior)
• Excellent leadership skills, communication and negotiation skills.
• Strong communication skills to effectively convey complex analytical concepts to non-technical stakeholders
• Ability to work collaboratively with cross-functional teams.
• Strong command of English language

About Qatar Airways Group

Our story started with four aircraft. Today, we deliver excellence across 12 different businesses coming together as one. We've grown fast, broken records and set trends that others follow. We don't slow down by the fear of failure. Instead, we dare to achieve what's never been done before.

So, whether you're creating a unique experience for our customers or innovating behind the scenes, every person contributes to our proud story. A story of spectacular growth and determination. Now is the time to bring your best ideas and passion to a place where your ambition will know no boundaries, and be part of a truly global community.

About Qatar Airways Group

Our story started with four aircraft. Today, we deliver excellence across 12 different businesses coming together as one. We've grown fast, broken records and set trends that others follow. We don't slow down by the fear of failure. Instead, we dare to achieve what's never been done before.

So whether you're creating a unique experience for our customers or innovating behind the scenes, every person contributes to our proud story. A story of spectacular growth and determination. Now is the time to bring your best ideas and passion to a place where your ambition will know no boundaries, and be part of a truly global community.

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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.

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 .