Applied Data Scientist (Actuarial)

Orange Malone; Greater London; On-site; GBP 125,000 - 150,000; Full time

Job summary

A leading insurance recruitment firm is seeking a Data Scientist to join a non-life insurer. The ideal candidate will have strong technical skills in Python, SQL, and AWS, along with recent experience in the insurance sector. Responsibilities include building predictive models, mentoring teams, and translating technical jargon into business value. This role is based in London, requiring a four-day in-office commitment, with a focus on delivering innovative data solutions in a dynamic environment.

Benefits

Excellent benefits package

Supportive work environment

Qualifications

• Mastery of Python with experience in data analytics and model deployment.
• Practical experience with LLMs and agentic workflows.
• Recent relevant insurance experience is mandatory.

Responsibilities

• Deliver solutions by turning hypotheses into advanced predictive models.
• Mentor the team on Python and modeling best practices.
• Translate technical details into business value.

Skills

Python (Pandas, Scikit-learn, PyTorch)

SQL/Snowflake

AWS (Bedrock)

Strong communication skills

Education

Strong STEM or Actuarial background

Job description

Orange Malone is working with a non-life insurer that is looking for a Data Scientist with strong insurance skills (this would be perfect for an actuary that is looking to specialise in data analytics).

As an Applied Data Scientist, this individual bridges the gap between data collection and real-world application. They build production-grade predictive models and Generative AI solutions that empower underwriters to make sharper, faster decisions within a high-tech, SaaS-driven environment.

Key Responsibilities:

• Solution Delivery:Turning hypotheses into live tools, moving beyond simple reporting to advanced predictive modeling.
• Technical Leadership:Mentoring the team in Python and modeling best practices while collaborating in cross-functional agile squads.
• Stakeholder Management:Translating complex technical "whys" into clear business value and managing project timelines.
• You must have strong communication skills.

Qualifications:

• Technical Stack:Mastery of Python (Pandas, Scikit-learn, PyTorch), SQL/Snowflake, and AWS (Bedrock).
• AI Expertise:Practical experience with LLMs, agentic workflows, and deploying models into production.
• Industry Knowledge:A strong STEM or Actuarial background with experience in General or Specialty Insurance is highly preferred.

The company has an excellent reputation for looking after it's employees and offers an excellent package of benefits. You would be working in their new London office four days a week.

You MUST HAVE recent relevant insurance experience.