Data Scientist

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 flexible, supportive environment where your well-being is prioritized and your potential can thrive. The Role About the role You will join Kyndryl’s transversal initiative on Agentic and Generative AI , contributing to the 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. What you will do 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 the 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. If this role sounds exciting but you don’t meet every single requirement, we still encourage you to apply . We value curiosity, learning mindset, and potential. Who You Are Essential Qualifications: At least 2 years of experience in data science, advanced analytics, or machine learning projects. Solid skills in Python and some of 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 fluid 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. Being You The “Kyn” in Kyndryl means kinship, which represents 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. At Kyndryl, employee feedback has told us that our number one driver of employee engagement is belonging. That sense of belonging — being a valued, respected, trusted member of the team — is fundamental to our culture and fueling great experiences for our customers. This dedication to welcoming everyone into our company means that Kyndryl gives you the ability to thrive and contribute to our culture of empathy and shared success. That’s The Kyndryl Way. What You Can Expect Your career with us isn’t just a job—it’s an adventure with purpose. We offer a dynamic, hybrid-friendly culture that supports your well-being and empowers you to grow. Our Be Well programs are thoughtfully designed to support your financial, mental, physical, and social health—because we know that when you feel your best, you do your best. From your very first day, you’ll dive into impactful work that powers the systems our customers rely on every day. You won’t just contribute—you’ll make a difference, tackling meaningful projects that sharpen your skills and fuel your growth. We’re here to champion your journey. With powerful tools to chart your career path, personalized development goals aligned with your ambitions, and continuous feedback to keep you inspired and on track, you’ll have everything you need to thrive and evolve. You’ll develop in-demand skills to grow your career and achieve your ambitions with access to cutting-edge learning opportunities—from certifications with Microsoft, Google, and Amazon to coaching and hands-on experiences. And through it all, you’ll be part of a culture that values empathy, restless learning, and a devotion to shared success. We want you to thrive here—and we’re committed to helping you do just that. Ready to make an impact? Join us and help shape what’s next. Get Referred! If you know someone that works at Kyndryl, when asked ‘How Did You Hear About Us’ during the application process, select ‘Employee Referral’ and enter your contact's Kyndryl email address.