Senior Data Scientist — Actuarial Data & ML (Finance)

Prudential Distribution Ltd; Stirling; On-site; GBP 75,000 - 110,000; Full time

Benefits offered by this job

Pension up to 18%

Share Save / Share Incentive Plan

38 days annual leave + purchase option

Parental leave (Inspiring Families)

Private Healthcare

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, code review, and mentor junior team members while embedding controls for audit and risk assurance.

You will apply machine learning and analytics to add measurable value and collaborate to improve data processes, ensuring accuracy, clarity, and governance across outputs.

Qualifications

• Experience applying data science techniques to financial services and actuarial modelling.
• Ability to translate business problems into data science solutions and deliver measurable outcomes.
• Experience with data governance, security, and data quality management principles.

Responsibilities

• Design, build, and maintain scalable data pipelines for actuarial modelling needs.
• Ensure data quality, integrity, and consistency through validation and governance.
• Collaborate with stakeholders to translate data requirements into technical solutions.
• Optimize data systems for performance and scalability.
• Provide guidance on data science approaches, tools, and best practices.
• Support integration of multiple data sources to create cohesive datasets.
• Contribute to improved data platforms, engineering standards, and documentation.

Skills

Data science

Machine learning

Azure Databricks

Spark SQL

Python

Data governance

Data quality

Stakeholder communication

Audited environment

People management

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, code review, and mentor junior team members while embedding controls for audit and risk assurance.

You will apply machine learning and analytics to add measurable value and collaborate to improve data processes, ensuring accuracy, clarity, and governance across outputs.