Senior Data Scientist

Requirements

• Ability to analyse and understand trends in data and develop solutions that add value
• Highly numerate
• Proficient in manipulating, interpreting and analysing data through code
• Strong communication and time‑management skills, with the ability to explain complex technical issues clearly
• Ability to work autonomously, develop your own skillset and manage your workload independently
• Ability to interpret business requirements and propose Data Science solutions
• Knowledge
• Considerable knowledge and understanding of analytical software and approaches
• Understanding of project and change methodologies
• Experience of working in an analytical role
• A numerate degree or equivalent analytical experience
• Hybrid working
• 3 days per week at Office

Benefits

Additional Information

Hours: 35 hours per week Salary: £48,300 Per Annum Closing Date: Tue, 7 Jul 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. Who Are We? Not just another building society. Not just another job. We're the fourth biggest building society in the UK, and what makes us a bit different is that we're a mutual organisation. We don't have shareholders; we're owned by our members. Our colleagues say Skipton is a great place to work, and you could be one of them-bringing new ideas on how we can keep customers at the heart of everything we do. 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. To achieve this, we are bringing together the core elements of our data capability: reporting (what's happening), analytics (why it's happening), data science ( what's likely to happen next), data governance (how we work safely, consistently and responsibly) and data engineering What's In It For You? Skipton values work-life balance, and we are proud to support hybrid and flexible working where possible. Our newly refurbished head office offers a vibrant and collaborative working space. We also offer a range of additional benefits, including: Annual discretionary bonus scheme 25 days' standard annual leave + bank holidays, rising by 1 day per year of service up to a maximum of 30 days Holiday trading scheme allowing you to buy or sell additional annual leave Matching employer pension contribution (up to 10% per annum) Colleague mortgage (conditions apply) Salary sacrifice scheme for hybrid and electric cars A commitment to training and development Private medical insurance for all colleagues Three paid volunteering days per year Diverse and inclusive colleague networks, including our Carers and Pride Alliance groups Health and wellbeing benefits, including a cycle‑to‑work initiative and discounted gym membership What Will You Be Doing? 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 Key stakeholders: Homes Business, Money Business, CMO Function, Engineering, Credit Analytics, Finance What Do We Need From You?

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