Haystack
← Back to Jobs
Remote
Temporary/Casual
Technology
AC

Data Scientist

AMS CWSEnglefield, Reading🇬🇧United KingdomPosted 7 Oct 2026

Quick Overview

Seniority
Mid Senior
Employment type
Temporary/Casual
Work mode
Remote
Location
Englefield, Reading, United Kingdom
Posted
22 hours ago
SQLMachine LearningAzureDatabricksPythonStakeholder Management

Job Description

At M&G our purpose is to give everyone real confidence to put their money to work. As an international savings and investments business with roots stretching back more than 170 years, we offer a range of financial products and services through Asset Management, Life and Wealth. All three operating segments work together to deliver attractive financial outcomes for our clients, and superior shareholder returns.

Through our behaviours of telling it like it is, owning it now, and moving it forward together with care and integrity; we are creating an exceptional place to work for exceptional talent.

AMS is a global workforce solutions partner committed to creating inclusive, dynamic, and future-ready workplaces. We help organisations adapt, grow, and thrive in an ever-evolving world by building, shaping, and optimising diverse talent strategies.

We partner with M&G to support their contingent recruitment processes. Acting as an extension of their recruitment teams, we connect them with skilled interim and temporary professionals, fostering workplaces where everyone can contribute and succeed.

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.

The skills you'll need:

  • 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.

Next steps

We have a diverse workforce and an inclusive culture at M&G plc, underpinned by our policies and our employee-led networks who provide networking opportunities, advice and support for the diverse communities our colleagues represent. Regardless of gender, ethnicity, age, sexual orientation, nationality, disability or long term condition, we are looking to attract, promote and retain exceptional people. We also welcome those who take part in military service and those returning from career breaks.

Similar jobs