Senior Data Science Manager

End Date
Thursday 21 March 2024
Salary Range
£85,255 - £100,300
We support agile working - click here for more information on agile working options.
Agile Working Options
Hybrid Working, Job Share
Job Description Summary
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Job Description
Job Title: Senior Data Science Manager
Salary: £86,694 -£118,420 (depending on location)
Location: Bristol, London
Hours: Full time
Working Pattern : Hybrid, 40% (or two days) in office.
About us
Do you want to be part of the largest transformation in financial services in a generation? Lloyds Banking Group is investing over £2bn pounds in delivering growth over the next 3 years - including considerable investment in our transformation to a data and technology led organisation!
About this opportunity
The Personalised Experiences and Communications platform sits at the heart of this transformation, working with the second largest customer dataset in the UK, as well as the latest tools available through Google’s Cloud Platform, to enable the delivery of real-time personalised experiences for customer across our market leading brands and channels.
As a product lab, we work closely with partners across the business to demonstrate how Data Science and machine learning can be applied to improve customer experiences and deliver value. These solutions are engineered into live machine learning systems that improve the experience of 26m+ customers across the whole of the UK.
As a Lead Data Scientist you'll

• Act as a Data Science SME in the Decisioning Lab responsible for leading the development and implementation of best practice machine learning solutions to deliver market leading decisioning and personalisation capability.
  
• Establish strong relationships with a broad range of business and technical partners from across the organisation to understand business and customer needs and translate them into technical solutions, as well as demonstrating the value of decisioning products and features.
  
• Own and continually improve upon our current approaches for tackling common ML use cases - e.g., price optimisation, time-series forecasting, reinforcement learning agents for policy optimization, Gen AI applications, model monitoring, etc. And be prepared to defend these approaches during the model review process.
  
• Steer the Decisioning team and help it address more complex problems that require new approaches to be introduced. Manage the delivery of proofs-of-concept that demonstrate these new capabilities and how they can deliver value to future projects.
  
• Work closely with the ML Engineering team to define automated approaches to common workflows - e.g., for feature selection, hyperparameter tuning, model testing and monitoring, etc.
  
• Contribute to the recommended training curriculum and progression paths for professional development, from the graduate scheme to senior technical leads, and help steer the Modelling Guild to focus on contemporary Data Science topics that are relevant to Lloyds Banking Group
  

What you’ll need

• Previous experience as a Senior Data Scientist or Technical Lead in machine learning.
  
• A strong ability to translate Data Science methods and results for nontechnical audiences.
  
• Thorough theoretical and applied knowledge of a broad range of statistical modelling and ML techniques, such as regression, clustering, decision trees (including random forests and gradient boosted trees), time-series forecasting and deep learning.
  
• A good working knowledge of the latest NLP and LLM techniques
  
• 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.
  
• 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.
  
• Strong ability to coach data scientists in how to take this approach and to review how they do so.
  
• The ability to balance coaching and mentoring data scientists with continuing to do hands-on Data Science work yourself alongside them.
  

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.