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Job Description Summary

Job Description

JOB TITLE: Data Scientist

SALARY: £66,861 - £74,290

LOCATIONS: Leeds, Edinburgh or Bristol

HOURS: Full time

WORKING PATTERN: Hybrid, 40% (or two days) at our Leeds, Edinburgh or Bristol locations.

About this opportunity:

You will working in multidisciplinary teams and support all stages of a project - from exploring the problem statement and experimenting with different modelling approaches to developing industrialised applications powered by Machine Learning.

As a data scientist you’ll:

• Develop models and machine learning applications in Python alongside our Data Engineers (who build the data pipelines and ensure quality)

• Deliver production Machine Learning models across the full reach of the Insurance Pensions & investments business - from predicting Pension balances to identifying which of our customers may fall into financial difficulty and need a helping hand, along with other diverse use cases

• Collaborate in multidisciplinary squads, regularly communicating key findings to our business partners

Your models will have a material impact on the lives of up to 26m+ customers across the whole of the UK!

About us

Like the modern Britain we serve, we’re evolving. Investing billions in our people, data and tech to transform the way we meet the ever-changing needs of our 26 million customers. We’re growing with purpose. Join us on our journey and you will too…

What you’ll need

• Previous experience of developing and deploying AI and ML models

• Strong theoretical and applied knowledge of Statistical Modelling and Machine Learning techniques such as regression, clustering, attribution (econometrics / MMM), decision trees and gradient boosting machines (random forest, XGBoost, LGBM) and significance testing

• A good working knowledge of the latest NLP and LLM techniques

• Advanced skills in Python and SQL for data science, including how to write modular Pythonic code, familiarity with the core Python data structures and fluency with pandas and other packages commonly used for data science; a familiarity with unit testing would be beneficial

• Advanced skills in working with different structured and unstructured data types and carrying out careful data preparation and descriptive analysis in support of machine learning

• The ability to take subject matter knowledge (your own or that of colleagues) and incorporate it into feature selection and engineering and the hypotheses that models are allowed to test

• The ability to present the takeaways from data science techniques in a clear, visual manner to support senior business partners’ decision making

• Experience implementing and supporting Machine Learning systems including automating data validation, model training, model validation and model monitoring would also be very useful

We're particularly keen to hear from individuals who have a track record of delivering data science projects within commercial environments. For example, those with experience of having successfully industrialised and delivered data science solutions for large scale industry applications.

About working for us

Our focus is to ensure we're 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’s why we especially welcome applications from under-represented groups. We’re disability confident. So if you’d like reasonable adjustments to be made to our recruitment processes, just let us know.

We also offer a wide-ranging benefits package, which includes:

• A generous pension contribution of up to 15%

• An annual bonus award, subject to Group performance

• Share schemes including free shares

• Benefits you can adapt to your lifestyle, such as discounted shopping

• 30 days’ holiday, with bank holidays on top

• A range of wellbeing initiatives and generous parental leave policies

Want to do amazing work, that’s interesting and makes a difference to millions of people? Join our journey.

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.