Senior Data Scientist

Capgemini

Capgemini, a global leader in consulting and R&D, is searching for Senior Data Scientists to join their diverse Data & AI Engineering team. The role is centered on delivering client value within the Nordics, participating in strategic discussions, and contributing to team development. Industries of focus include automotive, manufacturing, life sciences, retail, and defense.

In this role you can expect to have the responsibilities:

• Deliver client value through strategic discussions and solution developments.
• Drive competence development for junior colleagues.
• Engage with diverse industries such as automotive, manufacturing, and defense.

This role comes with the following benefits:

• Work environment characterized by innovation.
• Opportunities for mentorship and continuous development.
• Belonging to a global professional community of Data & AI experts.

This role requires you to have:

• PhD in a scientific field such as computer science, physics, or mathematics.
• Minimum of 5 years' experience in data science, data engineering, or software engineering.
• Proficiency in Python, R or C++ for statistical data analysis.
• Experience with ML libraries like PyTorch, TensorFlow, Scikit-learn.
• Knowledge of AWS, Azure, or Google Cloud platforms.
• Proactive attitude with strong analytical skills.

You would benefit from having:

• Over 10 years' experience in automotive, manufacturing, energy, lifescience, or telecom.
• Business analysis and technical project management skills.
• Familiarity with databases, SQL, and data management tools.
• Experience with data pipeline tools such as Spark SQL, PySpark, Kafka, and Hadoop.

Capgemini values diverse perspectives and encourages candidates from varied backgrounds to apply. They are committed to providing an inclusive environment and solutions for large global customers and local start-ups alike.