Senior Data Science & Analytics Lead Job Swindon England UK,IT/Tech

Location: Swindon

Senior Data Science & Analytics Lead

Job : 134211

Working hours: This role is available on a part-time, job-share or full-time basis.

Location: Flexible - with some travel to our Swindon office where the UK Life team are based.

Closing date for applications: 19th June 2026

The opportunity

As Senior Data Science & Analytics Lead, you will play a pivotal role in evolving our data function from strong management information delivery to a data science led, AI enabled capability that drives measurable improvements in decision making, operational efficiency and risk management.

You will be accountable for developing and deploying predictive and statistical models across complex datasets, embedding advanced analytics and AI into core business processes to move from insight generation to automated, data driven decisioning. This includes ensuring solutions transition effectively from experimentation into robust, controlled and scalable production use.

Combining strong people leadership with technical credibility, this role will build sustainable data science capability within the team, ensuring experimentation, modelling and AI adoption aligned to business priorities and governance expectations.

This role is ideal for someone who enjoys turning ambiguity into delivery, balancing people leadership with technical credibility, and innovation leadership - setting direction, coaching others, and acting as a trusted partner to senior stakeholders.

What will you be doing? Leadership & Team Management

Lead a team of analysts, supporting performance, development plans, and day to day prioritisation.
Act as a role model for modern analytics practices, curiosity, and outcome focused delivery.
Build and mature analytical and AI capability within the team, coaching analysts toward more advanced analytics, automation, and AI techniques using learning from apprenticeships and hands on delivery.

Insight & Business Partnership

Partner with senior stakeholders across the UK Life Business and supporting functions to identify opportunities for deeper insight, automation, or improved decision making that deliver clear, actionable outcomes.
Translate complex business questions into analytical approaches that deliver clear, actionable outputs.

Own a prioritised insight and automation development pipeline aligned to business value and capacity.

Lead the design and delivery of advanced analytics and data science driven solutions, including predictive insight, trend analysis, and decision support models.

Shape and oversee the responsible use of AI and GenAI to automate insight generation, controls and repeatable MI processes.

Act as the accountable lead for exploratory AI and advanced analytics use cases, ensuring appropriate governance, ethics, and risk considerations are met.

Guide the transition from pilot and proof of concept into robust, scalable BAU solutions in partnership with Data Engineering, Governance and Architecture.

Embed model lifecycle thinking, including documentation, validation, monitoring, and ongoing performance management where applicable.

Ways of Working

Embed standards for documentation, validation, and handover into BAU.
Champion efficient tooling (e.g. Power BI, Power Platform, SQL, Python) and automation first thinking.
Promote reuse, simplification, and scalability across the reporting estate.
Embed experimentation frameworks (e.g. controlled testing, monitoring, feedback loops) to safely trial and scale advanced analytics and AI enabled solutions.

What are we looking for?

Strong experience applying advanced analytics or data science led approaches to ambiguous business problems within Financial Services or similarly regulated environments.
Proven ability to lead and develop analysts while remaining technically credible.
Hands on experience building and deploying predictive or statistical models in a business environment.
Strong working knowledge of Python (or equivalent) for data analysis and modelling.
Experience designing and applying experimentation techniques (e.g. A/B testing, hypothesis testing).
Advanced skills in SQL and Power BI, including automation of data and MI workflows.
Experience delivering analytical solutions…