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Who We Are
At Kyndryl, we design, build, manage and modernize the mission-critical technology systems that the world depends on every day. So why work at Kyndryl? We are always moving forward – always pushing ourselves to go further in our efforts to build a more equitable, inclusive world for our employees, our customers and our communities.
The Role
We are seeking Data Scientists at a variety of seniority levels to contribute to the development of robust, scalable, and maintainable AI solutions. The ideal candidate will have a strong technical foundation in machine learning, a problem-solving mindset, and a passion for applying AI in a practical, impact-driven way.
You will work on a diverse set of client problems across industries, contributing to end-to-end solution delivery - including data engineering, model development, evaluation, and deployment.
Key Responsibilities
Collaborate with cross-functional teams to scope, design, and implement AI solutions
Develop and validate models for structured and unstructured data (e.g. NLP, computer vision, time series)
Translate complex business requirements into scalable, production-ready pipelines
Where applicable, contribute to model monitoring, CI/CD integration, and post-deployment support
Engage directly with clients and stakeholders to communicate results and advise on solution direction
Contribute to internal best practices and the technical growth of the team
Who You Are
Who You Are
You’re good at what you do and possess the required experience to prove it. However, equally as important – you have a growth mindset; keen to drive your own personal and professional development. You are customer-focused – someone who prioritizes customer success in their work. And finally, you’re open and borderless – naturally inclusive in how you work with others.
Required Qualifications
-Proficiency in Python and experience with machine learning libraries (e.g. scikit-learn, PyTorch, TensorFlow)
-Proven ability to deliver data science projects with measurable outcomes
-Strong grounding in statistics, modelling, or applied mathematics
-Experience with real-world data: cleaning, preprocessing, feature engineering, and evaluation
-Ability to communicate technical concepts clearly to both technical and non-technical stakeholders
-Demonstrated interest in building solutions - not just models - that solve real problems
Preferred Qualifications
-Experience working with LLMs, GenAI, or retrieval-augmented generation systems
-Familiarity with MLOps, including Docker, CI/CD, or model deployment in cloud environments
-Exposure to cloud platforms (Azure, GCP, AWS) and data tools such as MLflow, Airflow, Databricks
-Previous consulting or client-facing experience
-Contributions to open-source or technical publications a plus
Being You
Diversity is a whole lot more than what we look like or where we come from, it’s how we think and who we are. We welcome people of all cultures, backgrounds, and experiences. But we’re not doing it single-handily: Our Kyndryl Inclusion Networks are only one of many ways we create a workplace where all Kyndryls can find and provide support and advice. This dedication to welcoming everyone into our company means that Kyndryl gives you – and everyone next to you – the ability to bring your whole self to work, individually and collectively, and support the activation of our equitable culture. That’s the Kyndryl Way.
What You Can Expect
With state-of-the-art resources and Fortune 100 clients, every day is an opportunity to innovate, build new capabilities, new relationships, new processes, and new value. Kyndryl cares about your well-being and prides itself on offering benefits that give you choice, reflect the diversity of our employees and support you and your family through the moments that matter – wherever you are in your life journey. Our employee learning programs give you access to the best learning in the industry to receive certifications, including Microsoft, Google, Amazon, Skillsoft, and many more. Through our company-wide volunteering and giving platform, you can donate, start fundraisers, volunteer, and search over 2 million non-profit organizations. At Kyndryl, we invest heavily in you, we want you to succeed so that together, we will all succeed.
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.
Kyndryl London, England Office
Registered office: 2nd Floor, 100 Liverpool Street, , United Kingdom, London, United Kingdom, EC2M 2AT
