Data Scientist — Financial Services ML Pipelines

M&G; Reading; On-site; GBP 90,000 - 120,000; Full time

Benefits offered by this job

Pension up to 18%

Share Save & SIP

38 days annual leave + extra days

Parental leave

Private healthcare

Job summary

At M&G, we design and optimise data solutions to enable reliable actuarial modelling and data access. You will lead scalable data workflows, drive improvements, and embed controls for audit and risk assurance while mentoring junior team members.

In this Experienced Colleague role, you will apply machine learning, ensure data quality, and collaborate across teams to deliver auditable, high-quality data outputs for financial modelling.

Qualifications

• Strong expertise in data science techniques, including machine learning and their application in financial services.
• Proficiency in data tools, programming languages, and database technologies, in particular in Azure Databricks, Spark, Spark SQL and Python/pyspark.
• Understanding of data governance, security, and data quality management principles.
• Experience working with large, complex datasets and performing feature engineering and data preparation.
• Proven ability to translate business problems into data science solutions and deliver measurable outcomes.
• Strong problem-solving capability with a focus on accuracy and performance.
• Ability to communicate technical concepts clearly to both technical and non-technical audiences.
• Collaborative approach with the ability to influence decisions and guide others.
• Experience working in Financial Services or a similar heavily audited environment with an understanding of operating controls and producing audit evidence.

Responsibilities

• Design, build, and maintain scalable data pipelines to validate and transform data to meet actuarial modelling needs.
• Ensure data quality, integrity, and consistency through robust validation, monitoring, and governance practices.
• Collaborate with stakeholders to understand data requirements and translate them into efficient and effective technical solutions.
• Optimise data systems and processes to improve performance, reliability, and scalability.
• Provide technical expertise and guidance on data science approaches, tools, and best practices.
• Support integration of multiple data sources to create cohesive, accessible, and trusted datasets.
• Contribute to the continuous improvement of data platforms, frameworks, and engineering standards.

Skills

Azure Databricks

Spark

Spark SQL

Python

Pyspark

Data governance

Data modelling

Machine learning

Communication

Data science

Tools

SQL

Job description

At M&G, we design and optimise data solutions to enable reliable actuarial modelling and data access. You will lead scalable data workflows, drive improvements, and embed controls for audit and risk assurance while mentoring junior team members.

In this Experienced Colleague role, you will apply machine learning, ensure data quality, and collaborate across teams to deliver auditable, high-quality data outputs for financial modelling.