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  • Job type

    Permanent
  • Location

    London
  • Working Pattern

    Flexible Working,Full-time
  • Specialism

    Actuarial
  • Industry

    Insurance
  • Pay

    Up to £60,000
  • Closing date

    5 Jun 2024

Data Scientist / Insurance / Python Coding / Actuarial Science / London

Your new company

Confidential .


Your new role

My client is seeking to recruit a Data Scientist to analyse the performance across numerous insurance business areas, by creating dashboards and developing predictive models and machine learning techniques, as well as supporting other teams to improve analytics in Market Reserving and Capital.


As a business, they are transforming and therefore need curious minds to help define and influence that change. It's an exciting opportunity to be a part of, as they have invested heavily in how they utilise the extensive data they hold.


What you'll need to succeed

To be considered for this exciting opportunity, you will be a Data Scientist with around 1–3 years’ previous work experience. In addition, you will need coding skills in Python, and it would be advantageous to have previous experience of insurance. Other backgrounds, like Life Insurance and Pensions, will also be considered.

The role would suit someone who has a mathematical, actuarial, or computer-science degree, with a minimum of a 2:1 grade. Someone who perhaps worked in an actuarial related role but gave up the exams and is now looking to pursue a full-time career as a Data Scientist, would find this appealing.

What you'll get in return

They can offer a base salary of between £47,500 and £60,000, DoE, plus an excellent benefit package.
They also offer flexible working, with the expectation that, on average, you will be in their London office 2 days per week.

What you need to do now

If you're interested in this role, click 'apply now' to forward an up-to-date copy of your CV, or call us now.

If this job isn't quite right for you, but you are looking for a new position, please contact us for a confidential discussion about your career.

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