Data Led Decisioning Lead (2 year FTC)

Reigate, Manchester, Glasgow, United Kingdom
Job Type
Hybrid Working Opportunity


Here at esure Group, we’re no strangers to change. As one of the industry leaders in the insurance business, striving to become a world class digital insurer, we’re getting ready for more. It’s creating great new opportunities for innovative and talented industry professionals to join us at a pivotal point in our development.

Location: either Reigate/Manchester/Glasgow based

Purpose of Role:

Lead the development and delivery of analytical decision-making solutions that deliver material improvements in indemnity and operational expenditure

Day to Day:

  • Accountable for developing and embedding data and analytical models to support claims processes (incl. automated processes) on the new platform, delivering material improvement in operational efficiency and indemnity control
  • Work with Claims Leadership (including the Intelligent Automation Lead) to define and prioritise advanced analytics use cases
  • Work with external ecosystem providers to integrate third party solutions (as appropriate) within the business
  • Work closely with product squads, data engineering, operations and change teams to sustainably embed analytical models into BAU
  • Oversee the continued performance of analytical models, updating and refining them as needed
  • Build and lead a capable and effective team of Data Led Decisioning professionals
  • Lead the development of on the job training, approaches and tools that strengthen the capability and organisation of the team
  • Build a culture of effective risk management within the team

We'd love you to bring:

  • Strong experience in working in a data science team within a transforming organisation
  • Proven experience leading analytical teams with demonstrable commercial success
  • Pragmatic, strategic individual who is able to structure and prioritise analytics use case development
  • Experience of solving complex, commercially significant analytical problems, involving large, imperfect data sets and sources, in similar industries (e.g. fin. services) with material results
  • Proven ability to deliver solutions that are scalable and work in an operational environment
  • Excellent knowledge of data science tools and languages, including, ML, R, Python coding, SQL and production tools (must have)
  • Experienced leader with strong team building and management capabilities
  • Track record of articulating direction, managing partners, guiding teams and driving a portfolio of projects to deliver tangible results
  • Excellent interpersonal skills (written and verbal) with ability to collaborate across diverse teams

What we'll offer in return:

  • Flexible benefits and a highly competitive package that recognises your skills, experience and potential
  • 28 days annual leave plus 8 flex days (equivalent to bank holidays to be taken as and when suits you)
  • Discretionary Bonus Scheme
  • Private Healthcare
  • Flexible working – including hybrid working
  • Flexible benefits package including buy/sell holidays, cycle to work scheme, preferential rates on EV vehicles and much more.

We welcome you to ask about the flexibility you need. This might be part-time, job share or compressed hours for example. Anyone who applies for a role can ask about flexibility at interview. In return, we will explore what is possible for the role.

We understand some people may not apply for jobs unless they tick every box. If you are excited about joining us and think you have some of what we are looking for, even if you’re not 100% sure we would love to hear from you.

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