Joining as an Innovation Actuarial Analyst, you’ll be part of a pioneering Innovation Team dedicated to enhancing processes and systems. This role offers exposure to extensive data projects encompassing data analytics, programming, and machine learning. Collaborating across SCOR, you’ll contribute to acquiring new business and fostering market initiatives for profitability. Additionally, you’ll have the chance to collaborate with the global SCOR team, expanding your professional network and experience.

The role

Joining in this role you will help support the Innovation team deliver its strategic plan, where we aim to ‘Intentionally improving outcomes for customers, for clients, the market and SCOR’. You will help us deliver on all three of our strategic pillars:

  • Understanding distribution – helping to reduce misrepresentation across the market and improve the quality of distribution through working with our clients.
  • Data services – improving fairness and across of risk pricing and maximising the impact of our data capabilities.
  • Bring in new customer – expanding the protection net and helping more people get protected.

Utilising new data technique and technology will underpin our ability to deliver our strategic plan and this role is key to helping us achieve this. 



  • Experience of working both within a team and as a self-motivated individual
  • Experience in handling and analysing large datasets and data visualisation techniques and software.
  • Good working knowledge of Microsoft packages (particularly Excel/Access)
  • Good knowledge or experience of coding Python and/or R or the desire to learn coding.


  • Interest or knowledge of data science and machine learning technique
  • Some Actuarial training (actuarial trainees or those who have given up exams will both be considered)
  • Pricing experience with Knowledge of PROPHET and SAS

Personal Competencies

  • Excellent analytical skills
  • Self-motivation
  • Customer focus
  • Team work
  • Attention to detail
  • Excellent communication and interpersonal skills

Required Education

  • Undergraduate Degree in Actuarial Science, Mathematics, Data Science or other numerical degree