Senior Data Scientist, Actuarial Analytics & Pipelines

Prudential UK Services Ltd; City of Edinburgh, Reading; Presencial; GBP 70.000 - 110.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Pension up to 18%

Share Save & Incentive Plan

38 days annual leave

Time Off When You Need It

Inspiring Families policy

Health & Protection cover

Descripción de la vacante

M&G is seeking an experienced data solutions professional to design, build and optimise data workflows for actuarial modelling. You will lead scalable pipelines, ensure data quality and governance, and collaborate with stakeholders to deliver trusted datasets for analytics.

You will apply machine learning and advanced analytics to enable insights while maintaining rigorous documentation, controls, and audit readiness. Flexible working arrangements are considered.

Formación

• Strong data science and ML techniques applied to financial services.
• Ability to translate business needs into data solutions.
• Experience with data governance and quality assurance.
• Proficient in building scalable data pipelines and ETLs.
• Ability to communicate complex technical concepts clearly.

Responsabilidades

• Design, build, and maintain scalable data pipelines for actuarial modelling.
• Ensure data quality, integrity, and governance across datasets.
• Collaborate with stakeholders to translate data requirements into solutions.
• Optimize data systems for performance, reliability, and scalability.
• Provide guidance on data science approaches and best practices.
• Integrate multiple data sources into cohesive datasets.
• Contribute to continuous improvement of data platforms and standards.

Conocimientos

Data science

Machine learning

Data governance

Data quality

Stakeholder comms

Team leadership

Herramientas

Azure Databricks

Spark

Spark SQL

Python

pyspark

Descripción del empleo

M&G is seeking an experienced data solutions professional to design, build and optimise data workflows for actuarial modelling. You will lead scalable pipelines, ensure data quality and governance, and collaborate with stakeholders to deliver trusted datasets for analytics.

You will apply machine learning and advanced analytics to enable insights while maintaining rigorous documentation, controls, and audit readiness. Flexible working arrangements are considered.