Senior Data Scientist – Actuarial Data & ML Pipelines

M&G; Stirling; Hybrid; GBP 65,000 - 95,000; Full time

Benefits offered by this job

Pension up to 18%

Share Save & Share Incentive Plan

38 days annual leave + buy/sell

Parental leave support

Private healthcare

Life Assurance

Job summary

M&G is seeking an Experienced Colleague to design, build and optimise data solutions enabling reliable access to data for actuarial modelling and assumption setting. You will lead data workflows, drive improvements, and mentor junior team members while ensuring audit-grade controls and clear documentation.

The role emphasizes communication of findings, collaboration with stakeholders, and applying advanced analytics to deliver measurable business value within a heavily governed financial

Qualifications

• Experience designing and building scalable data pipelines for actuarial modelling.
• Strong focus on data governance, security, and quality controls.
• Ability to translate business problems into data science solutions with measurable outcomes.
• Experience in Financial Services or heavily audited environments.

Responsibilities

• Design, build, and maintain scalable data pipelines to validate and transform data for actuarial modelling.
• Ensure data quality and governance through validation and monitoring.
• Collaborate with stakeholders to translate data requirements into technical solutions.
• Optimize data systems for performance and reliability.
• Provide guidance on data science approaches and best practices.
• Support integration of multiple data sources to create trusted datasets.
• Contribute to improvements of data platforms and engineering standards.

Skills

Data science

Machine learning

Azure Databricks

Spark

Python

Spark SQL

Data governance

Data quality

Stakeholder engagement

Communication

Audited environment

Team leadership

Tools

Azure Databricks

Spark

Spark SQL

Python

PySpark

Job description

M&G is seeking an Experienced Colleague to design, build and optimise data solutions enabling reliable access to data for actuarial modelling and assumption setting. You will lead data workflows, drive improvements, and mentor junior team members while ensuring audit-grade controls and clear documentation.

The role emphasizes communication of findings, collaboration with stakeholders, and applying advanced analytics to deliver measurable business value within a heavily governed financial