29 AI Researchers 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
  
  

• 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 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.

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.

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.

Manager Data Science Revenue Management - Qatar Airways. We are pleased to announce an exciting opportunity to lead a Revenue Management data science team in Doha. You will develop advanced analytical models and ensure data-driven insights enhance revenue management practices, collaborating with commercial, pricing, finance, and operations teams to identify opportunities for revenue growth and implement data-driven solutions aligned with business objectives.

• Shape and lead the data science strategy, stay abreast of industry trends, and continuously improve analytical capabilities.
• Develop predictive models, pricing algorithms, and demand forecasting tools to enable RM decision-making in a dynamic airline environment.
• Collaborate with business and technology partners to deploy AI & ML-powered solutions that drive incremental revenue, enhance customer engagement, and automate manual processes using state-of-the-art ML techniques.
• Define problem statements, hypotheses, and success metrics with cross-functional teams.
• Utilize advanced analytical techniques (machine learning, statistical modeling) to analyze complex datasets, identify trends, and develop predictive models.
• Work with data engineering teams to deploy and maintain data science models in production, ensuring accuracy and effectiveness.
• Manage data science projects, foster stakeholder relationships, and ensure effective deployment of AI/ML models.
• Oversee design, development, and deployment of data science projects aligned with business objectives and timelines.
• Build and maintain relationships with stakeholders across departments (e.g., Corporate Planning, B2C, IT, Finance) to understand needs and ensure integration of data-driven solutions.
• Coach and mentor team members for development and successful project delivery.
• Lead and manage a team of data scientists to deliver production-scale ML models with measurable business impact across multiple business/product verticals.

• Bachelor's degree or equivalent (e.g., Mathematics and Statistics, Computer Science or Engineering) with a minimum of 8 years of 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 handling large datasets, using data mining tools, and developing algorithms is preferred.
• Excellent programming skills in Python, R, or SQL.
• Good understanding of airline business processes, including network planning, scheduling, marketing, sales, and digital (customer behavior).
• Excellent leadership, communication, and negotiation skills.
• Strong ability to convey complex analytical concepts to non-technical stakeholders and work collaboratively with cross-functional teams.
• Strong command of English.

Our story started with four aircraft. Today, we deliver excellence across 12 businesses coming together as one. We've grown fast, broken records, and set trends that others follow. We don't slow down in the face of failure; we dare to achieve what's never been done before. Every person contributes to our proud story, a journey of spectacular growth and determination. Now is the time to bring your best ideas and passion to a place where your ambition knows no boundaries, and be part of a truly global community.

For reference, the job posting includes the closing date: 30-Sep-2025 and is for a full-time position in Doha, Qatar, under the Corporate & Commercial job family.

Referrals increase your chances of interviewing at Qatar Airways. Sign in to set job alerts for similar roles.

Manager Data Science Revenue Management - Doha, Qatar

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 lead a team of data scientists, develop advanced analytical models, and ensure 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 commercial, pricing, finance, and operations teams to identify opportunities for revenue growth and implement data-driven solutions that align with our overall business objectives.

• 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 metrics
• 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 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

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 processes, 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

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.

Overview

Manager Data Science | Revenue Management – Qatar Airways. We are pleased to announce an exciting opportunity to lead a Revenue Management data science team in Doha. You will develop advanced analytical models and ensure data-driven insights enhance revenue management practices, collaborating with commercial, pricing, finance, and operations teams to identify opportunities for revenue growth and implement data-driven solutions aligned with business objectives.

• Shape and lead the data science strategy, stay abreast of industry trends, and continuously improve analytical capabilities.
• Develop predictive models, pricing algorithms, and demand forecasting tools to enable RM decision-making in a dynamic airline environment.
• Collaborate with business and technology partners to deploy AI & ML-powered solutions that drive incremental revenue, enhance customer engagement, and automate manual processes using state-of-the-art ML techniques.
• Define problem statements, hypotheses, and success metrics with cross-functional teams.
• Utilize advanced analytical techniques (machine learning, statistical modeling) to analyze complex datasets, identify trends, and develop predictive models.
• Work with data engineering teams to deploy and maintain data science models in production, ensuring accuracy and effectiveness.
• Manage data science projects, foster stakeholder relationships, and ensure effective deployment of AI/ML models.
• Oversee design, development, and deployment of data science projects aligned with business objectives and timelines.
• Build and maintain relationships with stakeholders across departments (e.g., Corporate Planning, B2C, IT, Finance) to understand needs and ensure integration of data-driven solutions.
• Coach and mentor team members for development and successful project delivery.
• Lead and manage a team of data scientists to deliver production-scale ML models with measurable business impact across multiple business/product verticals.

• Bachelor’s degree or equivalent (e.g., Mathematics and Statistics, Computer Science or Engineering) with a minimum of 8 years of 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 handling large datasets, using data mining tools, and developing algorithms is preferred.
• Excellent programming skills in Python, R, or SQL.
• Good understanding of airline business processes, including network planning, scheduling, marketing, sales, and digital (customer behavior).
• Excellent leadership, communication, and negotiation skills.
• Strong ability to convey complex analytical concepts to non-technical stakeholders and work collaboratively with cross-functional teams.
• Strong command of English.

Our story started with four aircraft. Today, we deliver excellence across 12 businesses coming together as one. We’ve grown fast, broken records, and set trends that others follow. We don’t slow down in the face of failure; we dare to achieve what’s never been done before. Every person contributes to our proud story, a journey of spectacular growth and determination. Now is the time to bring your best ideas and passion to a place where your ambition knows no boundaries, and be part of a truly global community.

For reference, the job posting includes the closing date: 30-Sep-2025 and is for a full-time position in Doha, Qatar, under the Corporate & Commercial job family.

Referrals increase your chances of interviewing at Qatar Airways. Sign in to set job alerts for similar roles.

Overview

Manager Data Science | Revenue Management – Doha, Qatar

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 lead a team of data scientists, develop advanced analytical models, and ensure 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 commercial, pricing, finance, and operations teams to identify opportunities for revenue growth and implement data-driven solutions that align with our overall business objectives.

• 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 metrics
• 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 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

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 processes, 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

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.