Senior Manager – Data Scientist

Role Overview

The Senior Manager – Data Scientist will be part of the Methodology & Assumption (M&A) Actuarial Policyholder Data Team within the Actuarial Modelling & Valuation Centre of Excellence in Finance. The role will operate, maintain and make BAU updates to the new data pipelines which will validate, transform and enrich data for use in actuarial modelling and assumption setting.

What You Will Do

Design, build, and maintain scalable data pipelines that validate and transform data to meet actuarial modelling requirements. Implement checks and controls to ensure actuarial input data is complete, accurate, reconciled and available when required.

Why It Might Be a Fit

The ideal candidate will have a strong understanding of data structures, databases, and data modelling concepts, with experience working on data pipelines with data transformation, validation and storage processes. They will also have experience working in Financial Services or a similar heavily audited environment with an understanding of operating controls and producing audit evidence.

Requirements

• Strong understanding of data structures, databases, and data modelling concepts.
• Experience working on data pipelines with data transformation, validation and storage processes.
• Ability to manage and process large datasets with attention to accuracy and quality.
• Familiarity with data governance and best practices in data management.
• Strong problem-solving skills and the ability to work collaboratively across teams.
• Experience working in Financial Services or a similar heavily audited environment with an understanding of operating controls and producing audit evidence
• Clear communication with both technical and non-technical stakeholders.
• Proactive approach to identifying and resolving issues.
• Commitment to continuous improvement and delivering high-quality outcomes.
• SQL
• Data management and modelling
• Experience maintaining documentation, controls, and governance evidence to support auditability and operational resilience
• Experience using Excel, Power BI, and/or Python to analyse data, automate checks, and produce reports or dashboards.
• Advanced Excel skills, including formulas, pivot tables, lookups, data validation, Power Query, and reconciliation techniques
• Azure Databricks
• Spark
• Spark SQL
• Python/PySpark