Pricing Data Scientist (Actuarial)

Job Description

Pricing Data Scientist (Actuarial)

London (4 days per week)

Are you a Data Scientist with a background as an Actuary?

Do you want to work in a high-impact hub team that optimises modelling processes and applies Bayesian techniques to commercial insurance?

We are looking for a skilled Data Scientist to join a centralised team, collaborating with Data Scientists, Python developers, Actuaries and senior insurance experts to drive innovation in pricing and risk assessment by developing GLM, Gradient Boost, Bayesian and Linear Regression models for pricing models.

What You’ll Be Doing:

• Enhancing actuarial models with advanced statistical and machine learning techniques.
• Developing and optimising pricing models using R, tidyverse, Python, and cloud-based tools like AWS and Snowflake.
• Working on a variety of global commercial lines projects, with some exposure to personal lines.
• Collaborating with stakeholders across the business to improve modelling processes and decision-making.
• Supporting the integration of Bayesian models into the pricing framework.

What We’re Looking For:

Must have:

• Actuarial background with (ideally a fully or partially qualified Actuary) (eg – FIA, AIA, CERA, FSA etc or equivalent)
• 3+ years of practical experience with R, Tidyverse

Bonus if you have:

• Experience with modern cloud technologies (AWS, Snowflake, etc.).
• Strong coding and problem-solving skills, with the ability to work on complex modelling challenges.
• Excellent stakeholder management and communication skills.

If you are ready to take on a role where you can apply your actuarial expertise and data science skills in a dynamic, forward-thinking environment, we’d love to hear from you.

Apply now or reach out for more details!