Head of Claims Data Led Solutions - 2 year FTC

  • Castlefield Rd, Reigate RH2, UK
  • Full-time
  • Salary: Competitive
  • Department: Claims
  • Working Hours: 35

Company Description

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.

Job Description

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

Qualifications

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

Additional Information

What we'll offer in return:

  • A competitive salary 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)
  • Bonus scheme
  • Flexible working – including hybrid working post covid
  • Staff discount on our products

At esure, we are committed to promoting equity, inclusion and diversity. We celebrate and nurture our diversity because it makes strong business sense and because it’s the right thing to do. We are passionate about making everyone feel welcome, included and comfortable bringing their whole self to work every day.

esure cares for our people, our customers, our society and our planet. We aim to ensure all colleagues and job applicants are given equal opportunity and our company is truly representative of all sections of society and our customers. esure is an inclusive environment which provides everyone the support they need to feel included, thrive, grow, meet their goals and have some fun.

We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

Privacy Policy