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# Data Scientist

- **Company:** AMS CWS
- **Location:** Reading, UK (Remote available)
- **Contract:** Temporary contract
- **Skills:** Code Review, Information Engineering, Data Governance, Data Systems, Apache Hive, Python (Programming Language), Machine Learning, Apache Spark, Pyspark, Data Management, Data Pipelines, Databricks
- **Published:** October 8, 2026
- **Apply:** https://www.totaljobs.com/job/data-scientist/ams-cws-job108093093

## About the Role

* Strong experience in Data Science, Data Engineering, Machine Learning or Advanced Analytics.
 * Hands-on expertise with, Azure Databricks, Spark & Spark SQL, Python / PySpark.
 * Data modelling and data pipelines.
 * Experience delivering scalable, high-quality data solutions in a regulated environment.
 * Strong understanding of, Data governance, Data quality management, Risk and controls and Audit requirements.
 * Excellent problem solving, stakeholder management and communication skills.
 * Ability to mentor colleagues and provide technical leadership.

## Description

On behalf of M&G, AMS are looking for a Data Scientist for a 6 month contract based in Reading (2 days per week) with remote work available (Hybrid).

We will consider flexible working arrangements for any of our roles and also offer workplace accommodations to ensure you have what you need to effectively deliver in your role.

We're looking for a highly skilled Data Scientist to help transform the way policyholder data is used to support actuarial modelling and business decision making.

You'll design and build scalable data solutions, develop robust data pipelines, and apply machine learning and advanced analytics to solve complex challenges. Working within a highly regulated financial services environment, you'll play a key role in ensuring data is trusted, accessible, governed, and ready for insight generation.

This is an excellent opportunity for someone who combines strong technical expertise with a passion for improving processes, influencing stakeholders, and mentoring others.

Purpose of the role:

 * Design, build and optimise data pipelines using Azure Databricks.
 * Transform and integrate complex data sources into trusted datasets for actuarial modelling.
 * Apply machine learning and advanced analytics to deliver measurable business value.
 * Improve data quality, governance, controls and audit readiness.
 * Optimise data platforms and processes for performance, scalability and reliability.
 * Work closely with business and technical stakeholders to deliver effective solutions.
 * Set development standards, review code and support the growth of junior team members.
 * Drive continuous improvement and innovation across data processes and tooling.