Data Scientist

Who We AreAt 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 RoleWe're looking for exceptional talent to join our AI Agentic Innovation Hub at Kyndryl! The AI Agentic Innovation Hub stands as Kyndryl's center of excellence for advanced and agentic artificial intelligence. Our mission is to lead the design and deployment of transformative AI solutions that bridge frontier research with real-world impact - scalable, secure, and driven by measurable value. Built upon a team of exceptional talent and cutting-edge technology, the Hub embodies a spirit of bold innovation and disciplined execution - an elite unit within one of the world's leading technology companies. With national reach and global ambition, we partner with major organizations to tackle their most complex challenges, pioneering the next generation of intelligent, autonomous, and trusted systems that redefine what AI can achieve. Job Description 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.

Your Mission 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. Who You AreEssential Qualifications Approximately 2-4 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. Understanding of Responsible AI concepts - bias mitigation, transparency, and interpretability. Genuine curiosity and motivation to learn, experiment, and grow in applied AI.Education & Certifications Bachelor's degree in Computer engineering, Mathematics, Statistics, Physics, Data Science, or related field. Postgraduate or Master's degree in Artificial Intelligence, Machine Learning, or Data Analytics is valued. Preferred Skills Exposure to data pipelines, ETL processes, and data preparation workflows. Curiosity for new algorithms, frameworks, and emerging tools in AI and MLOps. Experience with data visualization and presentation of insights to cross-functional teams. Ability to collaborate effectively in agile, fast-paced environments. Basic knowledge of cloud AI platforms (Azure ML, Vertex AI, SageMaker, Databricks). Being YouThe \