Partially Remote Full time At Kyndryl, we run and reimagine the mission‐critical technology systems that drive advantage for the world's leading businesses. with proven expertise and a continuous flow of AI‐powered insight, enabling smarter decisions, faster innovation, and a lasting competitive edge. 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. 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. 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.

Spanish native or high level and fluent English. Bachelor's degree in Computer Engineering, Mathematics, Statistics, Physics, Data Science, or related field. 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.

Salary and benefits details are discussed at interview stage. 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.

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. No online application system is involved at this stage. We comply with all employment and data protection laws.

Hybrid: occasional in‐office days at either location Professional development budget Versátil working arrangements Well‐being initiatives (financial, mental, physical, social) Performance‐based bonus, potential targets

📌 Data Scientist Senior - Remoto (Madrid)
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