Data Scientist
Core
Design, build, and optimise scalable data pipelines and solutions to support actuarial modelling and assumption setting using policyholder data.
Role type
Experienced Colleague Data Scientist (Financial Services)
Builds
Scalable data pipelines, data workflows, and trusted datasets for actuarial modelling
Domain
Financial Services / Actuarial Science
Deliverable
production ML models
Required skills
Data pipeline development, Data modelling and architecture, Programming and scripting (Spark, Python), Data science and machine learning, Data governance, Problem-solving
Preferred skills
Stakeholder engagement, People management, Continuous improvement
Technologies
Azure Databricks, Spark, Spark SQL, Python, pyspark
Responsibilities
Design and maintain scalable data pipelines for actuarial modelling needs; Ensure data quality, integrity, and consistency through validation and governance; Collaborate with stakeholders to translate requirements into technical solutions; Optimise data systems for performance and reliability; Provide technical expertise and guidance on data science approaches; Support integration of multiple data sources; Guide and develop junior team members
Seniority
Experienced Colleague, hands-on IC with mentorship
