Data Scientist

At Capgemini Engineering, the world leader in engineering services, we bring together a global team of engineers, scientists, and architects to help the world’s most innovative companies unleash their potential. From autonomous cars to life-saving robots, our digital and software technology experts think outside the box as they provide unique R&D and engineering services across all industries. Join us for a career full of opportunities. Where you can make a difference. Where no two days are the same
Your Role: Must-have: Core MLStrong SQL: complex joins, CTEs, window functions, and query performance tuning.Strong Python.PySpark or similar.Real forecasting and classification work (demand forecasts, lead scoring, propensity) in production or serious projects. Coursework does not count.XGBoost and/or LightGBM in production.SHAP to explain and debug models for non-technical stakeholders.
Must-have: GenAI / AgenticHands-on agentic coding with Claude Code, Codex, or Cursor.Has built (not only advised on) GenAI products: RAG, vector search, agents with tool use.LLM APIs at scale: batch or async jobs with thousands of calls (data labeling, metadata extraction from text), not one-off prompts.
Must-have: PlatformAzure and/or Databricks (both preferred).Strong GCP/Vertex or AWS/SageMaker experience is acceptable.
What We OfferStable Employment: Permanent contract offering long-term job security.Learning & Development: Access to a wide range of online training platforms and professional development resources.Language Training: Weekly virtual English classes and conversation sessions with certified instructors. Online Courses for different languages.Health Coverage: Comprehensive prepaid medical and dental plans.Insurance Protection: Life and accident insurance for peace of mind.Wellness Perks: Discounts and benefits through fitness and technology partnerships.Special Occasion benefits.
About CapgeminiAt Capgemini Colombia, we aim to attract the best talent and are committed to creating a diverse and inclusive work environment, so there is no discrimination based on race, sex, sexual orientation, gender identity or expression, or any other characteristic of a person. All applications welcome and will be considered based on merit against the job and/or experience for the position.