[ref. w82914000] Data Scientist

Were looking for a Data Scientist who can blend technical excellence with business insight someone who can move confidently between actuarial thinking, data modelling, and advanced analytics to deliver strategic value.

What Youll Do:

• Proactively source, analyze, and interpret data from multiple internal and external providers
• Build predictive models and apply advanced statistical and machine learning methods
• Expand and optimise database structures to store, transform, and manage large datasets
• Deliver actionable insights to stakeholders and, where needed, directly to clients
• Use tools like Python, SQL, R, and BI platforms to drive decision-making and innovation
• Validate and wrangle messy data, ensuring integrity, structure, and auditability
• Translate insurance processes into clear business requirements for data solutions
• Create visualizations and presentations for both technical and non-technical audiences

What You Bring:

• A Bachelors Degree in Data Science, Actuarial Science, Statistics, Engineering, Mathematics, or Computer Science
• 35 years experience in data science, data warehousing, actuarial analytics or modelling
• Strong fluency in Python and SQL (R beneficial)
• Solid understanding of cloud, web infrastructure, APIs, and version control
• Experience in insurance, reinsurance, or related financial services (advantageous)
• Exposure to machine learning, predictive modelling, and statistical techniques
• Experience with BI tools (e.g. Power BI) and geospatial data analysis
• Ability to independently manage projects while collaborating across business areas

Key Strengths:

• Critical thinking with a high attention to detail
• Ability to navigate messy, multi-source data and make it usable
• Strong communication skills: Able to engage with stakeholders across functions
• Comfortable balancing technical depth with business context
• Self-motivated, organized, and able to operate in a fast-moving environment

Apply now!