Actuary / Data Scientist

Actuary / Data Scientist

Department: Data & Technology

Employment Type: Permanent - Full Time

Location: UK (London)

Description

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.

Responsibilities

1. 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.
2. Build strong, collaborative relationships with key stakeholders to develop a deep understanding of business needs.
3. Collaborate with a multidisciplinary team of technology and business experts to develop innovative, high-value solutions.
4. Proactively explore new methodologies, data sources or 3rd party tools to enhance analytics capabilities and uncover valuable insights.
5. Lead the development of proof of concepts and quickly create analytics and AI prototypes to demonstrate business value and drive innovation.
6. Ensure alignment of initiatives with the company’s enterprise data strategy and broader business goals.
7. Communicate findings and insights effectively to both technical and non-technical stakeholders, driving informed decision-making.

Candidate Requirements

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

Benefits

Compre is a global speciality reinsurance company that offers capital and liability solutions to its clients, providing them with the certainty they need on their portfolios. As an ambitious business, we are focused on building depth, breadth, and diversity in the talent across our business to be future-ready. Our clients' needs evolve as the market changes, which is why we continuously invest in areas such as data and technology.

Our values are what make us stand out. We value each other, empower and hold ourselves accountable, are authentic, collaborative and inclusive, and continuously strive for progress and innovation.

At Compre, we offer a range of benefits and team engagement events and provide a supportive environment for learning and growth. Our team is based in Bermuda, Finland, Germany, Malta, UK and the US. To keep our globally dispersed team connected, we have various employee resource groups, including Wellbeing, DEI, COMMS and Engagement.

We invest in our people and offer learning and development opportunities for leaders and employees to build confidence and grow their skill sets. Make an impact in a collaborative environment with some of the best talent in the industry, while enjoying:

• Competitive salary & annual bonus
• A health & wellbeing subsidy (£20 per month) (from Day 1)
• A generous pension (eligible after probationary period)
• Private healthcare from BUPA and a Healthcare Cash Plan from Medicash (from Day 1)
• Life assurance (from Day 1)
• Income protection (from Day 1)
• 25 days annual leave (from Day 1)
• Cycle to work scheme (from Day 1)
• Season ticket loan (interest-free) (eligible after probationary period)
• Electric vehicle scheme (eligible after probationary period)
• EAP (Employee Assistance Programme) (from Day 1)
• Learning/study support and reimbursement for professional memberships
• Hybrid working
• Employee socials and recognition programme