Senior Data Scientist - Financial Services Data Pipelines

eFinancialCareers; Stirling; On-site; GBP 85,000 - 115,000; Full time

Job summary

M&G seeks an Experienced Colleague to design, build, and optimise data solutions enabling actuarial modelling and assumption setting. You will lead scalable data workflows, drive governance, and embed controls for audit and risk assurance while coaching junior team members.

You will apply machine learning and advanced analytics to create high-quality, auditable data outputs, working with stakeholders to meet business priorities and maintain documentation standards.

Qualifications

• Experience designing scalable data pipelines for actuarial modelling.
• Proficiency with Azure Databricks, Spark, Spark SQL and Python.
• Strong data governance and data quality practices.
• Ability to translate business problems into data science solutions.
• Experience in financial services or heavily audited environments.
• Mentor and coach junior team members.

Responsibilities

• Design, build, and maintain scalable data pipelines for actuarial modelling data.
• Ensure data quality, governance, and validation.
• Collaborate with stakeholders to translate data requirements.
• Improve data systems for performance and reliability.
• Provide technical guidance on data science approaches.
• Support integration of multiple data sources.
• Contribute to data platform standards.

Skills

Data science techniques

Azure Databricks

Spark / Spark SQL

Python / pyspark

Data governance

Machine learning

Communication

Audit & risk controls

Team coaching

Stakeholder engagement

Tools

Azure Databricks

Spark

Python

Job description

M&G seeks an Experienced Colleague to design, build, and optimise data solutions enabling actuarial modelling and assumption setting. You will lead scalable data workflows, drive governance, and embed controls for audit and risk assurance while coaching junior team members.

You will apply machine learning and advanced analytics to create high-quality, auditable data outputs, working with stakeholders to meet business priorities and maintain documentation standards.