End Date:
Wednesday 01 January 2025
Salary Range:
£68,202 - £75,780
Flexible Working Options:
Hybrid Working, Job Share
Job Description
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. 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. The AI CoE Data Science team is a multi-disciplinary team which 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.
Key Responsibilities:
1. Develop experimental models and machine learning applications in Python alongside our ML Data Engineers.
2. Collect, process, and analyze large data sets from various sources.
3. Perform statistical analysis and interpret results to identify trends and patterns.
4. Collaborate in multidisciplinary squads, regularly communicating key findings to our business partners.
5. Lead small teams in the development and maintenance of data science products.
6. Stay updated with the latest industry trends and technologies in data science.
7. Your models will have a material impact on the lives of up to 30m+ customers across the UK.
Minimum Requirements:
We're keen to speak to data scientists that have demonstrable years of experience delivering data science. In particular, candidates with:
1. A strong theoretical and applied knowledge of Statistical Modelling and/or Machine Learning techniques.
2. Proficiency in Python and Python data science ecosystem.
3. The ability to present findings in a clear, visual manner.
4. Experience implementing and supporting Machine Learning systems.
5. Good experience in working on cloud machine learning platforms, preferably GCP Vertex.
What you’ll receive in return:
We offer a wide-ranging benefits package, which includes:
1. A generous pension contribution of up to 15%.
2. An annual performance-related bonus.
3. Share schemes including free shares.
4. 30 days' holiday, with bank holidays on top.
5. A range of wellbeing initiatives and generous parental leave policies.
Join our journey at Lloyds Banking Group, where we're driven by a clear purpose; to help Britain prosper.
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