Data Scientist, VP

Join us as a Data Scientist

• We’ll look to you to lead, drive and embed the design and implementation of data science tools and methods which harness our data in order to drive customer solutions
• You’ll also proactively bring together statistical, mathematical, machine learning and software engineering skills to develop and implement ethically sound models end-to-end
• This is an opportunity for you to hone your skills and make an impact by applying a software engineering and product development lens to solve complex business problems
• We're offering this role at vice president level

What you'll do

As a Data Scientist, you’ll use data translation skills to work closely with business stakeholders to define detailed business questions, problems or opportunities which can be supported through advanced analytics, making sure new and existing solutions are designed with a Group mindset.

You’ll also understand the complex requirements and needs of business stakeholders along with developing strong relationships, forming hypotheses and identifying suitable data and analytics solutions to meet those needs in order to support our business strategy.

In addition, you’ll be:

• Articulating advanced data and analytics opportunities, bringing them to life through data visualisation in a way that business stakeholders can understand and engage with understanding the benefits, trade-offs and ethics
• Leading both direct reports and wider teams in an agile way within multi-disciplinary data and analytics teams to achieve agreed project and scrum outcomes
• Selecting, building, training and testing complex machine learning models considering model valuation, model risk, governance and ethics, making sure there is no bias at build to ensure models are ready to implement and scale
• Leading and delivering stakeholder engagement activities to develop effective project working relationships making sure that stakeholder needs and concerns are identified and met
• Identifying opportunities to support our external customers using data science expertise and capability aligned to our Group strategy
• Exploring data, making sure golden source data is used appropriately to identify the correct approaches to extract the most value and establishing best practice for machine learning development, data access and procurement

The skills you'll need

We’re looking for someone who comes from an academic background in a STEM discipline such as Mathematics, Physics, Engineering or Computer Science and understands exploratory data analysis. You’ll have experience with statistical modelling and machine learning techniques along with programming language and software engineering fundamentals.

You’ll also have:

• Proficiency in LLMs and transformer architectures, alongside a deep understanding of traditional NLP techniques
• Strong skills in data visualization tools and Python libraries, SQL for data manipulation, and handling large datasets
• Solid knowledge of statistical concepts, linear algebra, calculus, predictive modeling techniques, and deep learning principles
• Familiarity with web technologies (Node.js, React.js), retail banking domain knowledge, understanding distributed systems, and experience with microservices architecture
• Good financial services knowledge, and the ability to identify wider business impact, risk and opportunities, making connections across key outputs and processes
• The ability to use data to solve business problems from hypotheses through to resolution
• Experience in synthesising, translating and visualising data and insights for key stakeholders
• Leadership and coaching experience along with good knowledge of Cloud applications
• Good communication skills with the ability to proactively engage and manage a wide range of stakeholders