Senior Data Scientist

Hours:

35 hours per week Closing Date:
Sun, 13 Sept 2026

We are seeking a Senior Data Scientist who will develop, maintain and monitor Data Science models and other analytical products to support the delivery of the Group Corporate Plan. Whatever your background, and whatever your goals, we'll help you take the next step towards a better future. You will also be joining us at an exciting time for our Data Capability function.

Our aspiration is to create a single, joined‑up Data and Intelligence platform where everything related to data sits in one place, enabling clear ownership, better decision‑making and full end‑to‑end control of the data lifecycle. At Skipton, we're founded on fairness. We exist to do right by our members - and we believe that starts with doing right by our people.

So whoever you are and whatever you bring, there's a place for you here and a genuine plan for where you go next.

Every day at Skipton is innovation day. Join our Technology team and you’ll discover that we’re constantly focused on real challenges as we build the tools that get things done for our members - quicker than you imagine.

• Developing, testing and documenting Data Science models and analytical products, including associated solutions such as model monitoring
• Creating analytical processes to produce required outcomes
• Developing and maintaining an understanding of prevailing and emerging modelling techniques and best practice
• Communicating outputs from existing models and analytical products to ensure appropriate use by stakeholders
• Performing ad‑hoc analysis to support decision‑making with key stakeholders
• Preparing key reports and presenting insights to colleagues and senior leaders

We work in a hybrid way, balancing flexibility with collaboration. For this role, you'll typically spend three days a week in our Skipton office, with the remaining two days working from home.

Strong analytical and problem‑solving skills, with the ability to identify trends in data and develop value‑adding solutions. Highly numerate, with experience interpreting, analysing and manipulating complex datasets using code. Proven ability to translate business requirements into practical Data Science and analytical solutions. Excellent communication skills, capable of explaining complex technical concepts to non‑technical audiences. Self‑motivated and able to manage priorities independently while continually developing technical expertise.

Good understanding of analytical tools, methodologies and best practices, alongside knowledge of project and change delivery approaches. Experience working in an analytical role, supported by a numerate degree or equivalent analytical experience.

Your work matters. And the way we reward you matters, too. At Skipton, we offer pay and benefits that really do make life better, together with a genuine thank you for making a difference.

• Annual discretionary bonus scheme
• 25 days standard annual leave + bank holidays + rising 1 day per year of service to a max of 30 days
• Matching employer pension contribution (up to 10% per annum)
• Colleague Mortgages and access to Skipton products and services at discounted rates
• Flexible working to help balance your commitments
• Private medical insurance, health and wellbeing app, volunteering opportunities, cycle‑to-work scheme, discounted gym memberships
• Lifestyle perks such as a Home and Tech voucher, which can be used at Currys, and IKEA

Our story began in 1853 in Skipton, North Yorkshire. Today, you’ll find us across England and Scotland, from Aberdeen to Plymouth. We help over a million members put down roots, save for what matters, and feel good about their money. As a mutual, they own us, so everything we do is for them. You'll feel that same fairness and purpose in how all 2,500 of our colleagues work together, too.

It all means that life at Skipton is more exciting than you imagine.

Life at Skipton We talk and we listen to each other. And we make decisions as a team. That way, you get all the support you need to do work that works for everyone. For most of our roles there's the option…