Senior Data Scientist - Actuarial ML & Pipelines

Prudential UK Services; Stirling; Hybrid; GBP 75,000 - 110,000; Full time

Job summary

M&G is seeking an experienced data engineer to design, build and optimise data workflows supporting actuarial modelling and data-driven decision making. You will lead scalable pipelines, ensure data quality and governance, and mentor junior colleagues in a collaborative, risk-aware environment.

Flexibility in working arrangements is supported, with emphasis on delivering robust data solutions and clear documentation across engineering standards and controls.

Qualifications

• Experience applying data science techniques in financial services.
• Ability to translate business problems into data science solutions.
• Strong communication and collaboration with stakeholders.

Responsibilities

• Design, build, and maintain scalable data pipelines for actuarial modelling.
• Ensure data quality, integrity, and governance.
• Collaborate with stakeholders to translate requirements into solutions.
• Optimise data systems for performance and reliability.
• Provide technical guidance on data science approaches and tools.
• Integrate data from multiple sources to create trusted datasets.
• Mentor and review junior team members’ work.

Skills

Data science methods

Problem solving

Communication

Stakeholder management

People management

Tools

Azure Databricks

Spark

Spark SQL

Python/pyspark

Job description

M&G is seeking an experienced data engineer to design, build and optimise data workflows supporting actuarial modelling and data-driven decision making. You will lead scalable pipelines, ensure data quality and governance, and mentor junior colleagues in a collaborative, risk-aware environment.

Flexibility in working arrangements is supported, with emphasis on delivering robust data solutions and clear documentation across engineering standards and controls.