Data Scientist

Kyndryl; England; On-site; GBP 50,000 - 90,000; Full time

Job summary

Join a forward-thinking company as a Data Scientist where you'll bridge business challenges with innovative data solutions. This role offers a dynamic environment where you'll dive deep into data, employing advanced statistical techniques and machine learning to create impactful models. You'll collaborate with cross-functional teams, translating complex requirements into scalable solutions while ensuring data security and usability. With opportunities for growth and development, this position is perfect for those eager to make a difference in a diverse and inclusive workplace. Embrace the power of data and redefine possibilities with us!

Benefits

Employee learning programs

Volunteering opportunities

Diversity and inclusion initiatives

Flexible working arrangements

Health and wellness benefits

Qualifications

• Proven ability to deliver data science projects with measurable outcomes.
• Strong grounding in statistics, modelling, or applied mathematics.

Responsibilities

• Collaborate with teams to design and implement AI solutions.
• Develop and validate models for structured and unstructured data.

Skills

Python

Machine Learning

Statistics

Data Cleaning

Feature Engineering

Communication Skills

Education

Degree in Data Science or related field

Tools

scikit-learn

PyTorch

TensorFlow

Docker

Azure

GCP

AWS

MLflow

Airflow

Databricks

Job description

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

As a Data Scientist at Kyndryl you are the bridge between business problems and innovative solutions, using a powerful blend of well-defined methodologies, statistics, mathematics, domain expertise, consulting, and software engineering. You'll wear many hats, and each day will present a new puzzle to solve, a new challenge to conquer.

You will dive deep into the heart of our business, understanding its objectives and requirements - viewing them through the lens of business acumen, and converting this knowledge into a data problem. You'll collect and explore data, seeking underlying patterns and initial insights that will guide the creation of hypotheses.

In this role, you will embark on a transformative process of business understanding, data understanding, and data preparation. Utilizing statistical and mathematical modeling techniques, you'll have the opportunity to create models that defy convention - models that hold the key to solving intricate business challenges. With an acute eye for accuracy and generalization, you'll evaluate these models to ensure they not only solve business problems but do so optimally.

Additionally, you're not just building and validating models - you're deploying them as code to applications and processes, ensuring that the model(s) you've selected sustains its business value throughout its lifecycle.

Your expertise doesn't stop at data; you'll become intimately familiar with our business processes and have the ability to navigate their complexities, identifying issues and crafting solutions that drive meaningful change in these domains. You will develop and apply standards and policies that protect our organization's most valuable asset - ensuring that data is secure, private, accurate, available, and, most importantly, usable. Your mastery extends to data management, migration, strategy, change management, and policy and regulation.

If you're ready to embrace the power of data to transform our business and embark on an epic data adventure, then join us at Kyndryl. Together, let's redefine what's possible and unleash your potential.

Your Future at Kyndryl
Every position at Kyndryl offers a way forward to grow your career. We have opportunities that you won't find anywhere else, including hands-on experience, learning opportunities, and the chance to certify in all four major platforms. Whether you want to broaden your knowledge base or narrow your scope and specialize in a specific sector, you can find your opportunity here.

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.

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.

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.