Company Overview

Who We Are 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 adaptable, supportive environment where your well-being is prioritized and your potential can thrive.
Role Summary

As a Data Scientist at Kyndryl’s AI Innovation Hub, you’ll be part of a team that turns data into intelligent, high-impact solutions. You’ll collaborate with senior data scientists, ML engineers, and AI architects to design, train, and validate predictive and machine learning models that tackle real business and operational challenges. You’ll participate in every stage of the model lifecycle — from data exploration and feature engineering to modeling, evaluation,



and documentation — helping transform raw data into actionable insights. This is a hands‑on, learning‑focused role in which you’ll work with modern technologies, contribute to scalable AI solutions, and grow your expertise within an environment that values experimentation, rigor, and curiosity.
Responsibilities

Collaborate with senior scientists and engineers to develop and validate machine learning and predictive models.
Participate in the end‑to‑end model lifecycle — from data collection and preparation to training, evaluation, and documentation.
Apply statistical and analytical techniques to extract meaningful patterns and insights from data.
Document experiments and ensure transparency, reproducibility, and traceability of results.
Stay up to date with new algorithms, frameworks, and best practices in data science and applied AI.
Actively contribute to a collaborative, knowledge‑sharing culture within the Hub.
Qualifications

Approximately 2–4 years

📌 Data Scientist (Barcelona)
🏢 3530 Kyndryl España
📍 Barcelona