At a Glance
- Tasks: Develop and maintain Data Science models to support strategic decision-making.
- Company: Join the fourth largest building society in the UK, focused on member satisfaction.
- Benefits: Enjoy a competitive salary, generous leave, and private medical insurance.
- Other info: Hybrid working model with excellent training and development opportunities.
- Why this job: Make a real impact by shaping data-driven decisions in a collaborative environment.
- Qualifications: Numerate degree or equivalent experience in an analytical role required.
The predicted salary is between 48300 - 48300 £ per year.
Hours: 35 hours per week
Salary: £48,300 Per Annum
Closing Date: Tue, 7 Jul 2026
About the Role
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.
About Us
We’re the fourth biggest building society in the UK and a mutual organisation owned by our members. We focus on keeping customers at the heart of everything we do.
Role Context
You will be joining the Data Capability function at an exciting time. 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 bring together reporting, analytics, data science, data governance and data engineering.
Key Responsibilities
- Develop, test and document Data Science models and analytical products, including model monitoring.
- Create analytical processes to produce required outcomes.
- Develop and maintain an understanding of prevailing and emerging modelling techniques and best practice.
- Communicate outputs from existing models and analytical products to ensure appropriate use by stakeholders.
- Perform ad‑hoc analysis to support decision‑making with key stakeholders.
- Prepare key reports and present insights to colleagues and senior leaders.
Key Stakeholders
- Homes Business
- Money Business
- CMO Function
- Engineering
- Credit Analytics
- Finance
Benefits
- Annual discretionary bonus scheme
- 25 day 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
- Commitment to training and development
- Private medical insurance for all colleagues
- Three paid volunteering days per year
- Diverse and inclusive colleague networks, including Carers and Pride Alliance groups
- Health and wellbeing benefits, including cycle‑to‑work initiative and discounted gym membership
What We Need From You
Skills: Ability to analyse and understand trends in data and develop value‑adding solutions, strong numeracy, proficiency in data manipulation and analysis through code, strong communication and time‑management skills, ability to work autonomously and manage workload independently, ability to interpret business requirements and propose Data Science solutions.
Knowledge: Considerable knowledge of analytical software and approaches, understanding of project and change methodologies.
Experience: Experience of working in an analytical role.
Qualifications: A numerate degree or equivalent analytical experience.
Working Arrangements
Hybrid working 3 days per week at the office.
Senior Data Scientist employer: Skipton Building Society
As the fourth largest building society in the UK, we pride ourselves on being a mutual organisation that prioritises our members and their needs. Our commitment to a supportive work culture is reflected in our extensive benefits package, which includes generous annual leave, a discretionary bonus scheme, and a strong focus on employee development through training opportunities. Joining our Data Capability function means being part of an innovative team dedicated to creating impactful data solutions while enjoying a healthy work-life balance with hybrid working arrangements.
