Data Science Manager

Summary of role

The core duties of the role involve building and submitting a range of data science solutions aligned to the wider business strategy. It would suit an individual with a quantitative background who is looking to broaden their commercial experience within a life insurance setting.

Working within a multi-stakeholder framework including Business Solutions, Distribution Channels, Marketing and Actuarial the candidate will take responsibility for a number of end-to-end processes and communication of results to senior management from an early stage. The candidate will be required to work flexibly across a range of other projects, covering areas such as data analytics and proposition development which will be providing the candidate with a breadth and depth of strategic initiatives.

In addition, the candidate will be required lead the development of data science applications, such as within Python, SQL and PowerBI to implement and improve processes with large sets of data to provide MI and inputs into the strategic steer of the company.

Key responsibilities and duties

• Identify areas to apply data science, both in terms of new growth opportunities and in-force optimisation.
• Performing investigations using data science applications and presenting the results in an appropriate way for a range of stakeholders.
• Responsible for the training of the Machine Learning models such as propensity models.
• Integration of CRM with Machine Learning models to perform effective data analysis.
• Accountable for building predictive modelling solutions that can be rolled out to actionable initiatives across the business.
• Supporting the ongoing management of the business by considering opportunities around data strategy.
• Working closely with distribution channels to support performance management using data analytics, such as identifying trends and customer behaviour.
• Ensure the data analysis comply with internal and external requirements such as Group AI Policy, Consumer Duty and other regulatory requirements.

Skills and experience

• Background from computer science, mathematics/statistics with hands on quantitative experience, ideally 5 – 7 years
• Experience working in an insurance company setting or any other financial service is preferred.
• Familiarity with data science software such as Python, R, SPSS Modeller.
• Experience in using one of Power BI, Tableau or Qlik.
• Being able to build Machine Learning models from scratch with good documentation and governance.
• Demonstrable strong communication and relationship management skills.
• Ability to explain technical subjects to senior stakeholders both written and verbally.