Senior Data Scientist

Capgemini Engineering; Bogotá; On-site; COP 60,000,000 - 120,000,000; Full time

Job summary

Capgemini Engineering in Bogotá, Colombia, is seeking a data science and ML engineering professional to work on production-grade AI projects across industries. You will design and deploy models focusing on core ML, forecasting, and classification tasks, collaborating with cross-functional teams to deliver measurable outcomes.

The role emphasizes hands-on work with SQL, Python, PySpark, and GenAI tools, including RAG and vector search, with cloud platforms such as Azure Databricks and

Qualifications

• Strong SQL skills with complex joins, CTEs, and performance tuning.
• Hands-on experience with Python for ML model development.
• Experience with PySpark and large-scale forecasting/classification projects.

Skills

Core ML

SQL

Python

PySpark

XGBoost/LightGBM

SHAP

GenAI development

LLM APIs

Azure Databricks

GCP Vertex AI

AWS SageMaker

Tools

Azure Databricks

GCP Vertex AI

AWS SageMaker

Job description

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 mostinnovative companies unleash their potential. From autonomous cars to life-saving robots, our digital and software technology experts think outside the box as theyprovide 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 arethe same.

Job Description

Your Role

Must-have: Core ML

• Strong 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 / Agentic

• Hands-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: Platform

• Azure and/or Databricks (both preferred).
• Strong GCP/Vertex or AWS/SageMaker experience is acceptable.

Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.