Data Scientist

Role Overview

The role is responsible for designing, building, and optimising data solutions that enable reliable and efficient access to data for use in actuarial modelling and assumption setting. The role provides specialist expertise in data science, ensuring scalable, high-quality data pipelines and processes are in place to support the use of policyholder data for actuarial modelling and assumption setting.

What You Will Do

Key responsibilities include designing, building, and maintaining scalable data pipelines, ensuring data quality, integrity, and consistency, collaborating with stakeholders to understand data requirements, and providing technical expertise and guidance on data science approaches, tools, and best practices.

Why It Might Be a Fit

The role requires strong expertise in data science techniques, including machine learning and their application in financial services, as well as proficiency in data tools, programming languages, and database technologies.

Requirements

• 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

Benefits

• A valuable pension scheme of up to 18%
• Access to our Share Save and Share Incentive Plan
• Financial wellbeing and support services
• 38 days annual leave (including bank holidays)
• Time Off When You Need It policy
• Comprehensive support and paid parental leave
• Health & Protection cover
• Private Healthcare
• Critical Illness cover
• Life Assurance

Tagged as: Python, SQL