JOB TITLE: Lead Data Scientist
SALARY: £86,964 - £102,310
LOCATION: Bristol
HOURS: Full Time
WORKING PATTERN: We adopt hybrid working style which involves spending at least two days per week, or 40% of our time, at our Bristol office.
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 do
* Act as a technical lead within the Data Science Modelling Chapter, responsible for helping our project delivery teams to develop and implement best practice solutions.
* Own and continually improve upon our current approaches for solving common AI use cases, focused around NLP - blending traditional NLU techniques with GenAI.
* Deliver proofs-of-concept 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.
* Contribute to the recommended training curriculum and progression paths for professional development, from the graduate scheme to senior technical leads.
What you'll need:
* Previous experience as a Senior Data Scientist or Technical Lead in machine learning.
* Experience leading data scientists and an ability to set technical standards.
* 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.
* Thorough theoretical and applied knowledge of ML techniques with a clear depth in Natural Language, deep learning and LLM based workflows.
* Cloud engineering in GCP and Azure (Kubernetes, resource requirements, workbooks, key Vaults).
* Understanding of risks and mitigators 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.
* 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.
* The ability to balance coaching and mentoring data scientists with continuing to do hands-on data science work yourself alongside them.
* A pragmatic, "keep it as simple as possible, but no simpler" attitude to your work and designs.
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're committed to creating a consciously inclusive workplace where our colleagues can be themselves, thrive and perform at their best.
We're proud to be a Disability Confident Leader. If you have a disability, you can also apply via our Disability Confident Scheme (DCS). Through the DCS, we guarantee to interview a fair and proportionate number of applicants with a disability, whose application meets the minimum criteria for the advertised job role.
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's interesting and makes a difference to millions of people? Join our journey!
#J-18808-Ljbffr