Data Scientist: Ai-Powered Ml (Chamartín)

Data Scientist: Ai-Powered Ml (Chamartín)

02 oct
|
Capgemini Engineering
|
Chamartín

02 oct

Capgemini Engineering

Chamartín

Partially Remote
Job Reference: KES51576 Barcelona Numancia (KES51576)
Madrid, Spain
Full time
Reference: R-66864
About Kyndryl
At Kyndryl, we run and reimagine the mission‐critical technology systems that drive advantage for the world's leading businesses. We are at the heart of progress;
with proven expertise and a continuous flow of AI‐powered insight, enabling smarter decisions, faster innovation, and a lasting competitive edge. For our people—Kyndryls—that means doing purposeful work that powers human progress. Join us and experience a versátil, supportive environment where your well‐being is prioritised and your potential can thrive.
The Role: Agentic and Generative AI
You will join Kyndryl's transversal initiative on Agentic and Generative AI, contributing to design, implementation, and evolution of data‐ and model‐driven solutions that support both client delivery and internal operational efficiency. This is a hands‐on, impact‐oriented role focused on applying AI in real environments.
- Collaborate with data scientists, engineers,



and architects to build applied AI and agent‐based solutions.
- Develop, validate, and evolve machine learning models and LLM‐based components for real business and delivery use cases.
- Participate across the solution lifecycle: data exploration, prototyping, validation, and continuous improvement.
- Contribute to development of agents, analytical pipelines, and decision logic, balancing technical quality with practical delivery needs.
- Document solutions, experiments, and learnings to support adoption and scalability.
- Work in a cross‐functional, evolving environment, interacting with teams at different levels of AI maturity.

Essential Qualifications
- At least 2 years of experience in data science, advanced analytics, or machine learning projects.
- Solid skills in Python and core data science libraries (Pandas, NumPy, Scikit‐learn, Matplotlib, XGBoost, LightGBM).
- Familiarity with neural networks and deep learning framework

📌 Data Scientist: Ai-Powered Ml (Chamartín)
🏢 Capgemini Engineering
📍 Chamartín

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