Data Scientist

About the Job: Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you’d like, supported and inspired by a collaborative community of colleagues around the world, and able to reimagine what’s possible. Join us and help leading organizations unlock the value of technology and build a more sustainable, inclusive world.

Your Role:

• Develop and implement advanced machine learning models using Databricks, MLflow, and Delta Lake.
• Analyze large datasets to extract actionable insights and drive data-driven decision-making.
• Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions.
• Ensure the use of Responsible AI practices in all models.
• Present findings and recommendations to stakeholders.

Your Skills and Experience:

• PhD, Master’s, or Bachelor’s degree in Data Science, Machine Learning, or a related field.
• Solid proficiency in Python, R, and SQL.
• Experience with Databricks, MLflow, and Delta Lake.
• Strong understanding of machine learning algorithms and statistical methods.
• Excellent communication and presentation skills.
• Good knowledge of Responsible AI principles.
• Arabic speaking skills would be a plus.

Why You Should Consider Capgemini: At Capgemini, you'll join a diverse collective of free-thinkers, entrepreneurs, and industry experts. We explore new ways technology can help us reimagine what's possible. You’ll build the skills you want while leveraging technology to help clients innovate and grow their businesses. Making the world a better place rarely is easy, but it is rewarding.

About Capgemini: Capgemini is a global business and technology transformation partner, helping organizations accelerate their transition to a digital and sustainable world while creating tangible impact for enterprises and society. With a diverse group of 340,000 team members in over 50 countries, Capgemini is trusted by clients to unlock the value of technology. The Group reported 2023 global revenues of €22.5 billion.

Location: Dubai, United Arab Emirates
Work Conditions: On-site, Full-time