ACTUARY / DATA SCIENTIST

London
Hybrid, two days in office
Permanent / full-time
We are a fast-growing global reinsurance speciality company servicing the insurance markets of Lloyd’s, Europe and North America.
Due to growth, our Head of Analytics is looking for an Actuary / Data Scientist to join a small team supporting the delivery of our analytics vision, strategy and roadmap.
The ideal candidate will be a qualified Actuary with hands on experience in delivering data science and machine learning solutions or an experienced Data Scientist with a strong background in commercial (re)insurance. This unique opportunity blends actuarial expertise with technology to drive enhanced data-driven decision-making.
Are you an actuary with ideas, innovation ambitions and like modern actuarial problem-solving but in a multi tech team? This could be what you’ve been looking for.

CANDIDATE REQUIREMENTS

• Degree in a relevant field such as actuarial science, computer science, mathematics, engineering or related disciplines
• Demonstrable experience in P&C (re)insurance, with a strong understanding of industry-specific challenges and opportunities
• Experience of developing advanced analytics or Machine Learning [ML] in at least one of underwriting, pricing reserving or claims
• Strong stakeholder management skills, with the ability to communicate effectively across all levels of the organization – you will need to have worked with colleagues outside Actuary
• Commercially focused with a value-driven mindset, ensuring solutions deliver tangible business outcomes
• Proven experience of building and deploying scalable predictive/ML solutions that deliver measurable business value
• Proficiency in SQL and Python/R is essential
• Hands-on experience with Databricks and Power BI is desirable
• Familiarity with agile methodologies and tools (e.g., Jira, Azure DevOps)
• Strong problem-solving and analytical skills, with attention to detail and a focus on innovation
• Contributing positively to our culture and values.

• Develop data science and machine learning solutions that provide actionable insights across core functions, with a focus on M&A/underwriting and claims, to solve critical business challenges
• Build strong, collaborative relationships with key stakeholders to develop a deep understanding of business needs
• Collaborate with a multidisciplinary team of technology and business experts to develop innovative, high value solutions
• Proactively explore new methodologies, data sources or 3rd party tools to enhance analytics capabilities and uncover valuable insights
• Lead the development of proof of concepts and quickly create analytics and AI prototypes to demonstrate business value and drive innovation
• Ensure alignment of initiatives with the company’s enterprise data strategy and broader business goals
• Communicate findings and insights effectively to both technical and non-technical stakeholders, driving informed decision-making