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 flexible, 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 frameworks (TensorFlow, PyTorch).
- Strong understanding of data preprocessing, handling missing values, unbalanced datasets, and outlier detection.
- Genuine curiosity and motivation to learn, experiment, and grow in applied AI.
- Spanish native or high level and fluent English.

Education & Certifications

Bachelor's degree in Computer Engineering, Mathematics, Statistics, Physics, Data Science, or related field.

Preferred Skills

- Exposure to data pipelines, ETL processes, and data preparation workflows.
- Experience with data visualization and presentation of insights to cross‐functional teams.
- Postgraduate or Master's degree in Artificial Intelligence, Machine Learning, or Data Analytics is valued.

Culture & Inclusion The "Kyn" in Kyndryl means kinship, representing the strong bonds we have with each other, our customers, and our communities. We focus on ensuring all Kyndryls feel included and we welcome people of all cultures, backgrounds,



and experiences. Even if you don't meet every requirement, we encourage you to apply. We believe in growth, and we're excited to see what you can bring.

Compensation

Salary and benefits details are discussed at interview stage.

Other Opportunities

Further roles include Data Scientist – Applied AI at Roche Digital Technology and Senior Data Scientist at Fresenius Medical Care. See individual postings embedded in original content for details.

Equal Opportunity Statement

Kyndryl is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, pregnancy, disability, age, veteran status, or other characteristics.

Application Process To request more information or discuss your fit, please contact our career team directly. Direct applications and referrals are accepted. No online application system is involved at this stage.

Compliance

We comply with all employment and data protection laws. You will be asked to confirm your right to work and provide DBS or equivalent checks as required.

Locations

- Barcelona – Numancia
- Madrid, Spain
- Hybrid: occasional in‐office days at either location

Benefits
- Professional development budget
- Adaptable working arrangements
- Well‐being initiatives (financial, mental, physical, social)
- Inclusive culture and belonging focus
- Performance‐based bonus, potential targets

📌 Data Scientist: Ai-Powered Ml & Vision Innovator (Madrid)
🏢 Capgemini Engineering
📍 Madrid