At a Glance
- Tasks: Develop and deploy machine learning models to impact millions of customers.
- Company: Join a leading insurance company with a focus on innovation and collaboration.
- Benefits: Generous pension, annual bonuses, share schemes, and 30 days' holiday.
- Other info: Dynamic teams, excellent career growth, and a supportive work environment.
- Why this job: Make a real difference in people's lives through data science and machine learning.
- Qualifications: Experience in AI/ML, strong Python and SQL skills, and ability to present findings clearly.
The predicted salary is between 50000 - 70000 £ per year.
About this opportunity: You will be 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 experimental 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.
- 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 30m+ customers across the whole of the UK!
What you'll need:
- Previous experience of deploying AI and ML models within a similar sized organisation.
- Strong theoretical and applied knowledge of Statistical Modelling and/or Machine Learning techniques is required such as: regression, clustering, attribution (econometrics / MMM), decision trees and gradient boosting machines (random forest, XGBoost, LGBM) and significance testing.
- A good understanding of Python and SQL is also required including how to write modular Pythonic code, familiarity with the core Python data structures and fluency with pandas; a familiarity with unit testing would be beneficial.
- The ability to present the takeaways from these techniques in a clear, visual manner to support senior business partner's decision making is key to the success of our projects.
- 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.
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.
Data Scientist employer: LLOYDS BANKING GROUP
Join a forward-thinking company that values innovation and collaboration, where as a Data Scientist, you will play a pivotal role in shaping the future of our Insurance Pensions & Investments business. With a generous benefits package including up to 15% pension contributions, 30 days' holiday, and a strong focus on employee wellbeing, we foster a supportive work culture that encourages professional growth and meaningful contributions to the lives of over 30 million customers across the UK.
