Senior Data Scientist - AI CoE

End Date: Wednesday 01 January 2025

Salary Range: £68,202 - £75,780

We support flexible working – click here for more information on flexible working options.

Flexible Working Options: Hybrid Working, Job Share

Job Description Summary

JOB TITLE: Senior Data Scientist

SALARY: The salary banding for this role is £68,000pa to £83,000pa plus the benefits listed below.

LOCATION: Bristol or Edinburgh

HOURS: 35 hours, full time

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

For this role, we're particularly keen to hear from individuals who have a track record of delivering data science projects within commercial environments, particularly those who have successfully industrialized and delivered data science solutions for real-world business and industry applications.

Here at Lloyds Banking Group (LBG), we put our customers at the heart of everything we do, and every colleague has an important part to play. LBG is undergoing one of the largest tech transformations in the UK and Europe, and the LBG AI CoE team is one of the key players within that transformation. The AI CoE Data Science team is a multi-disciplinary team that builds cutting-edge AI products and solutions for sophisticated business problems.

The role of a Data Scientist involves supporting all stages of a project, from exploring the problem statement and experimenting with different modeling approaches to developing industrialized applications powered by Machine Learning and GenAI.

Responsibilities:

As a data scientist, you’ll perform the following activities:

• Develop experimental models and machine learning applications in Python alongside our ML Data Engineers.
• Collect, process, and analyze large data sets from various sources. Perform statistical analysis and interpret results to identify trends and patterns.
• Collaborate in multidisciplinary squads, regularly communicating key findings to our business partners.
• Lead small teams in the development and maintenance of data science products that serve internal and external customers.
• Stay updated with the latest industry trends and technologies in data science.

Your models will have a material impact on the lives of up to 30m+ customers across the UK.

Requirements:

We're keen to speak to data scientists that have demonstrable years of experience delivering data science. In particular, candidates with:

• A strong theoretical and applied knowledge of Statistical Modelling and/or Machine Learning techniques such as regression, clustering, attribution (econometrics / MMM), decision trees, and gradient boosting machines (random forest, XGBoost, LGBM, etc.).
• Proficiency in Python and the Python data science ecosystem, including how to write modular Python code and familiarity with core Python data structures.
• The ability to present findings in a clear, visual manner to support senior business partner decision-making.
• Experience implementing and supporting Machine Learning systems, including automating data validation, model training, model validation, and model monitoring.
• Good experience working on cloud machine learning platforms, preferably GCP Vertex.

What You’ll Receive:

Our focus is to ensure we're inclusive every day, building an organization 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 also offer a wide-ranging benefits package, which includes:

• A generous pension contribution of up to 15%.
• An annual performance-related bonus.
• 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 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. Together we’re building a truly inclusive workplace where all of our colleagues have the opportunity to make a real difference.