Senior Data Scientist

Capgemini Engineering

Capgemini Engineering offers an R&D environment where innovation is a key focus, allowing collaboration with world-class scientists and engineers. The Senior Data Scientist role is crucial in their Data & AI Engineering unit, directing strategic opportunities and enhancing competence development for junior colleagues. This role primarily serves sectors such as Automotive, Manufacturing, Life Science, Retail, and Defence.

In this role you can expect to have the responsibilities:

• Deliver client value through strategic discussions and solution development in the Nordics.
• Contribute as a driving force in competency development within the team.
• Engage with external stakeholders, including technology providers and hyperscalers.

This role comes with the following benefits:

• Opportunity to work in an innovative R&D environment.
• Access to global centers of expertise.
• Belonging to a global professional community with structured career paths and mentorship opportunities.

This role requires you to have:

• PhD in a scientific field such as computer science or engineering.
• Minimum of 5 years of experience in data science or software engineering.
• Proficiency in statistical data analysis languages like Python or R.
• Experience with ML libraries such as PyTorch or TensorFlow.
• Knowledge of cloud platforms like AWS, Azure, or Google Cloud.
• Ability to implement effective ETL processes.
• Excellent English communication skills, both spoken and written.

You would benefit from having:

• Over 10 years of experience in industries such as Automotive or Lifesciences.
• Skills in business analysis and project management.
• Capability to perform as a technical architect.
• Proficiency in databases and experience with tools like Databricks.

Capgemini Engineering is committed to diversity and values potential. They welcome applications from qualified candidates regardless of race, ethnicity, gender, age, disability, sexual orientation, or background.