Data Scientist, VP

Join us as a Data Scientist

• In this role, you'll drive and embed the design and implementation of data science tools and methods, which harness our data to drive market-leading purpose customer solutions with a focus on our Wealth business
• Day-to-day, you'll act as a subject matter expert and articulate advanced data science opportunities, bringing them to life through data visualisation
• If you're ready for a new challenge, and are interested in identifying opportunities to support external customers by using your data science expertise, this could be the role for you
• We're offering this role at vice president level

What you'll do

We're looking for someone to understand the requirements and needs of our Wealth business stakeholders. You'll develop good relationships with them, form hypotheses, and identify suitable data science solutions to meet their needs to achieve our business strategy.

You'll be maintaining and developing external curiosity around new and emerging trends within data science, keeping up to date with emerging trends and tooling and sharing updates within and outside of the team.

You'll also be responsible for:

• Proactively bringing together statistical, mathematical, machine-learning and software engineering skills to consider multiple solutions, techniques, and algorithms
• Implementing ethically sound models end-to-end and applying software engineering and a product development lens to complex business problems
• Working with and leading both direct reports and wider teams in an agile way within multi-disciplinary data to achieve agreed project and Scrum outcomes
• Using your data translation skills to work closely with business stakeholders to define business questions, problems or opportunities that can be supported through advanced analytics
• Selecting, building, training, and testing complex machine models, considering model valuation, model risk, governance, and ethics throughout to implement and scale models

The skills you'll need

To be successful in this role, you'll demonstrate evidence of leading data science development from idea to implementation and relevant work experience gained from delivering data science solutions as part of a multi-disciplinary team. We'll also expect you to hold an undergraduate or a master's degree in a quantitative discipline, or evidence of equivalent practical experience.

You'll also need a minimum of ten years of experience with statistical software, database languages, big data technologies, cloud environments and machine learning on large data sets. And we'll look to you to bring the ability to demonstrate leadership, self-direction and a willingness to both teach others and learn new techniques. Knowledge of the Wealth business and related data would be an advantage.

Additionally, you'll need:

• Experience of developing and deploying machine learning models and pipelines into a production environment
• Experience of translating business objectives into data science solutions with the ability to translate these to non-technical stakeholders
• Experience of working in cloud technology such as AWS, and programming languages such as Python and PySpark
• Extensive applied statistical data analysis experience, such as, linear models, multivariate analysis, stochastic models, and sampling methods
• Evidence of applied machine learning models including regression, classification, clustering, propensity models, and Gen AI