Senior Data Scientist, Customer Analytics

Description

JOB TITLE: Senior Data Scientist, Customer Analytics

SALARY: £72,700pa to £88,800pa plus an extensive benefits package. 

LOCATION: Edinburgh, Leeds

HOURS: 35 hours, full time. 

WORKING PATTERN: Our work style is hybrid, which involves spending at least two days per week, or 40% of your time, at one of the above hubs. 

We’re on an exciting journey to transform our Group and the way we shape finance for good. We’re focusing on the future—investing in our technologies, workplaces, and colleagues to make our Group a great place for everyone, including you!

This role sits within the newly formed Customer Analytics and Insight team, supporting decision making across the Insurance, Pensions and Investments business. You will use advanced analytics to deepen our understanding of customer behaviour, and to drive commercial outcomes across Scottish Widows and the wider Group.
 

Want to hear more?

You will lead the delivery of analytical and modelling projects from start to finish. This includes building data products, developing clear insight stories, and shaping recommendations to improve commercial performance.

What you’ll do

Embody a proactive approach to insight generation, using our data to seek answers and opportunities.

Design, deliver and monitor modelling solutions to enable communications, pricing, and reward optimisations.

Apply a practical approach to experimentation - keeping solutions simple, explainable and production ready.

Build and maintain well‑structured datasets to support self-serve analytics and lifetime value modelling.

Work collaboratively with Data, Finance, & Optimisation teams to unlock insights that drive our engagement, retention, and growth objectives.

Bring analysis to life through compelling narratives, combining quantitative evidence with commercial context to inform strategic decisions across Lloyds Wealth and Scottish Widows.

Support the development of analysts and junior data scientists through code reviews, technical guidance and coaching.

What we'll need

Essential

A numerate degree or equivalent experience, with strong confidence working with data and applied knowledge of a range of statistical modelling techniques.

Strong programming skills in Python and SQL, including experience with common analytical libraries and data science methodologies.

Good commercial awareness, with the ability to frame ambiguous problems and connect analytics to business decisions.

 A proactive mindset, with a track record of planning and delivering complex analytical projects independently.

Clear communication skills, including the ability to develop and influence cross‑functional relationships.

Desirable

Familiarity with Insurance, Pensions and Investments data and customer metrics.

Experience working with engineering teams to build model pipelines.

Experience coaching or mentoring junior data scientists.

About working for us

Our focus is to ensure we are inclusive every day, building an organisation that reflects modern society and celebrates diversity in all its forms. We want our people to feel that they belong and can be their best, regardless of background, identity, or culture. We were one of the first major organisations to set goals on diversity in senior roles, create a menopause health package, and a dedicated Working with Cancer initiative. And it is why we especially welcome applications from under-represented groups. We are disability confident. So, if you would like reasonable adjustments to be made to our recruitment processes, just let us know. 

So, if you are excited by the thought of becoming part of our team, get in touch.

We would love to hear from you! 

At Lloyds Banking Group, we're driven by a clear purpose; to help Britain prosper. Across the Group, our colleagues are focused on making a difference to customers, businesses and communities. With us you'll have a key role to play in shaping the financial services of the future, whilst the scale and reach of our Group means you'll have many opportunities to learn, grow and develop.

We keep your data safe. So, we'll only ever ask you to provide confidential or sensitive information once you have formally been invited along to an interview or accepted a verbal offer to join us which is when we run our background checks. We'll always explain what we need and why, with any request coming from a trusted Lloyds Banking Group person. 

We're focused on creating a values-led culture and are committed to building a workforce which reflects the diversity of the customers and communities we serve. Together we’re building a truly inclusive workplace where all of our colleagues have the opportunity to make a real difference.