Senior Data Scientist

Posted date Posted Today

Job ID 151885

We're rebooting an icon and building the future of finance.

Find out why you should join us.

Agile Working Options Hybrid Working

Job description

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 office sites

About this opportunity

Consumer Servicing & Engagement (CS&E) Platform delivers a unified digital servicing proposition for personal customers on the device of their choosing, giving the best digital customer experience to increase engagement and options for self-service.

We build deeper and more trusted relationships with our customers and support them to improve their financial lives by offering valuable, engaging and human-like digital banking experiences. We grow customer satisfaction and trust through simple, helpful and personalised experiences that they love.

We provide and guide customers to complete and easy-to-use self-serve offerings where they can do (almost) everything they want within digital. We deepen valued customer relationships, helping them build financial resilience, by understanding what they need and when.

What you’ll be doing:

• Own and continually improve upon our current approaches for solving common AI use cases, focused on NLP – blending traditional NLU techniques with GenAI
• Contribute to the data science chapter and help it address more complex problems that require new approaches to be introduced.
• Delivery of proofs-of-concepts that demonstrate these new capabilities and how they can deliver value to future projects.
• Contribute to target production architectures of AI systems
• Define automated approaches to common workflows - e.g., for feature selection, hyperparameter tuning, model testing and monitoring, etc.
• Coach and help develop more junior members of the team, including other data scientists, graduates and apprentices.

Why join us?

We’re transforming at pace. Investing billions in our people, data and tech to change the way we meet the needs of our 28 million customers. We’re growing, and we’d love you to be part of the journey.

What we’re looking for:

• Previous experience as a Data Scientist in machine learning.
• Strong communication skills and the ability to collaborate effectively with other teams.
• A strong ability to translate data science methods and results for nontechnical audiences and to persuade senior business stakeholders of the significance of these results for decision making.
• Theoretical and applied knowledge of a broad range of statistical modelling and ML techniques focused on NLP – blending traditional NLU techniques with GenAI
• A good working knowledge of the latest NLP and LLM techniques
• Experience with conversational AI systems and methodologies
• Understanding of risks and guardrails for Generative AI applications
• Skills in Python and SQL for data science, including how to write modular code, familiarity with the core Python data structures and fluency with pandas and other packages commonly used for data science. Strong ability to coach data scientists in how to use these tools to address business problems and to review the code they produce.
• A pragmatic, "keep it as simple as possible, but no simpler" attitude to your work and designs.

We know that great talent comes from many backgrounds. Whilst this job advert may reference specific years of experience, we recognise that skills are developed in many ways, so if you have relevant, transferable experience, we encourage you to apply.

This is a place for you

We want to ensure all our candidates have the opportunity to shine. Please let us know if there is anything we can do to make the sure the assessment process works for you.

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

Ready to make an impact? Apply today.