Data Scientist - Pharma & Life Sciences

Stack

Responsibilities

• ▹Collect, clean and analyse structured and unstructured data from diverse sources
• ▹Develop statistical models, machine learning algorithms and advanced analytics solutions
• ▹Design and implement scalable, efficient data pipelines and analytical workflows
• ▹Build dashboards, reports and interactive visualisations to communicate insights
• ▹Collaborate with cross-functional teams including Business, Engineering, IT, Quality and Operations
• ▹Identify trends, patterns and process optimisation opportunities through data analysis
• ▹Ensure data quality, integrity and compliance with regulations

Requirements

• ▹Solid knowledge of applied statistics, data analysis and machine learning, with a data-driven, problem-solving approach
• ▹Excellent command of Python and/or R, SQL and the main data manipulation, analysis and visualisation tools (Power BI, Tableau or similar)
• ▹Familiarity with machine learning frameworks (Scikit-learn, TensorFlow, PyTorch) and cloud technologies

Nice to have

• ▹Interest in generative AI, MLOps and innovative solutions for pharma and life sciences

Soft skills

What we offer

• ▹Certification paths with leading technology partners (AWS, GCP, Azure, Snowflake, Databricks)
• ▹Access to the Data & AI Campus and GenAI Campus for skill development
• ▹Permanent contract
• ▹Hybrid work, 3 days a week on site
• ▹Gross annual salary range: EUR 31,270-40,150 (CCNL Commercio, level 2)

About the company

Capgemini is a business transformation partner in the age of AI, combining AI, technology and human ingenuity to help organisations build an intelligent, sustainable future. A global company with over 410,000 team members in more than 50 countries.