Job Description

Join us as a Data Scientist

You'll design and implement data science tools and methods which harness our data in order to drive market leading purposeful customer solutions We'll look to you to actively participate in the data community to identify and deliver opportunities to support the bank's strategic direction through better use of data This is an opportunity to promote data literacy education with business stakeholders supporting them to foster a data driven culture and to make a real impact with your work We're offering this role at associate level

What you'll do

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As a Data Scientist, you'll bring together statistical, mathematical, machine-learning and software engineering skills to consider multiple solutions, techniques and algorithms to develop and implement ethically sound models end-to-end. We'll look to you to understand the needs of business stakeholders, form hypotheses and identify suitable data and analytics solutions to meet those needs in order to support the achievement of our business strategy.


You'll also be:

Using data translation skills to work closely with business stakeholders to define detailed business questions, problems or opportunities which can be supported through analytics Applying a software engineering and product development lens to business problems, creating, scaling and deploying software driven products and services Working in an Agile way within multi-disciplinary data and analytics teams to achieve agreed project and scrum outcomes Selecting, building, training and testing machine learning models considering model valuation, model risk, governance and ethics, making sure that models are ready to implement and scale Iteratively building and prototyping data analysis pipelines to provide insights that will ultimately lead to production deployment

The skills you'll need

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You'll need a strong academic background in a STEM discipline such as Mathematics, Physics, Engineering or Computer Science. You'll have atlease four years of experience with statistical modelling and machine learning techniques.


We'll also look for financial services knowledge, and an ability to identify wider business impact, risk or opportunities and make connections across key outputs and processes


You'll also demonstrate:

The ability to use data to solve business problems from hypotheses through to resolution Experience in data science, analytics, and machine learning with strong understanding of statistical analysis, machine learning models and concepts, LLMs, and data management principles Proficiency in Python and relevant libraries such as Pandas, NumPy, and Scikit-learn Experience of cloud applications such as AWS Sagemaker and data visualisation tools Experience in synthesising, translating and visualising data and insights for key stakeholders * Good communication skills with the ability to proactively engage with a wide range of stakeholders