Senior Data Scientist - Finance Data Pipelines & ML

eFinancialCareers; Stirling; Presencial; GBP 90.000 - 130.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Pension 18%

Share Save & SIP

38 days annual leave

Parental leave

Private healthcare

Descripción de la vacante

M&G seeks an Experienced Data Engineer to design, build, and optimise data solutions for actuarial modelling and assumption setting. You will lead scalable pipelines, ensure data quality and governance, and collaborate with stakeholders to translate business needs into robust technical solutions.

The role involves mentoring junior colleagues and driving continuous improvement in data platforms within a heavily audited financial services environment.

Formación

• Strong data science techniques with ML applications in financial services.
• Proficient with Azure Databricks, Spark, Spark SQL and Python/pyspark.
• Understanding of data governance, security, and quality management.
• Experience with large, complex datasets and feature engineering.
• Able to translate business problems into data science solutions with measurable outcomes.
• Excellent problem-solving and communication skills.
• Experience in highly audited financial services environments.

Responsabilidades

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

Conocimientos

Azure Databricks

Spark

Spark SQL

Python / PySpark

Data governance

Machine learning

Audit & controls

Herramientas

SQL

Python

ETL tooling

Descripción del empleo

M&G seeks an Experienced Data Engineer to design, build, and optimise data solutions for actuarial modelling and assumption setting. You will lead scalable pipelines, ensure data quality and governance, and collaborate with stakeholders to translate business needs into robust technical solutions.

The role involves mentoring junior colleagues and driving continuous improvement in data platforms within a heavily audited financial services environment.