Data Scientist

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 Were offering this role at associate level What youll do 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 youll need You ll need a strong academic background in a STEM discipline such as Mathematics, Physics, Engineering or Computer Science. You ll have an experience of atleast five years 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 using Python, Tableau, SQL and software engineering fundamentals Experience of of analytics in fraud prevention and detection Experience of monitoring and maintaining model performance through developing new dashboards and reports, improve existing dashboards and in-house Python packages Experience of exploratory data analysis Good communication skills with the ability to proactively engage with a wide range of stakeholders