Fraud & AML Monitoring Data Scientist

Our purpose is to give everyone real confidence to put their money to work. With a heritage dating back more than 175 years, we have a long history of innovation in savings and investments, combining asset management and insurance expertise to offer a wide range of solutions. 

Our two distinct operating segments, Asset Management and Life, work together to provide access to balanced, long-term investment and savings solutions.

Through 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.

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

Fraud & AML Monitoring Data Scientist - permanent

The Role:

The Data Scientist is a member of the Fraud Monitoring and Analysis team within our operational planning centre of excellence at M&G. In this role you will use advanced analytics and machine learning algorithms to develop solutions that are data rich and use learning loops to improve those solutions. You will have the opportunity to shape and work on some of the most cutting-edge digital/cloud based architectures in development today.

This is a key role in the design and delivery of leading edge applications and insights within an agile environment. You will be responsible for leading development whilst seeding your experience and approach to support blended client and 3rd party teams in delivery.

Working across the full lifecycle, you will be expected to be comfortable at everything from requirements' gathering, design, development, implementation and initial support.

Key Accountabilities for this role: 

•Design and build solutions that enable the delivery of fraud and anti-money laundering monitoring capability across our business

•Be the team expert on Azure Databricks, and support other team members in upskilling in this area

•Be the team expert on Power BI, and support other team members in upskilling in this area

•Support the teams wider activities, assisting in investigation of suspicious transactions from a data standpoint

•Understand how complex data sources connect, to build in automation and to develop a capability to successfully isolate suspicious transactions and behaviours

•Seek out new sources of data, which can be linked to online/offline transactional or customer data to provide new or enhanced insight to the business

•Understand and review how other parts of the business are using data and data tools to see how we can learn, evolve and align

•Build scalable and repeatable solutions that can be introduced in new areas/journeys/products, in line with our focus on building a centre of excellence

•This is an individual contributor profile wherein the candidate is required to work in collaboration with the team Design and build systems that mine massive datasets and structure/ engineer it to be usable

•Conduct ongoing data quality assessments to ensure the necessary data is continuously ingested into the appropriate tools/applications that facilitate our transaction monitoring capabilities. This also includes the assessment of the accuracy of the data

•Joining data from multiple sources (Data modelling)

Key knowledge, skills and experience:

•Must be able to connect our data sets in a way that provides an end to end view of the customer journey, and in turn, helps to identify and mitigate fraudulent or suspicious activities.

•Python skills; should be comfortable with command-line tools

•Knowledge of Azure ecosystem – Devops, Databricks, Data Factory, etc.

•Expertise in SQL

•Working knowledge in Power BI/Tableu

•Must be able to perform ETL tasks, logical/physical data modelling

•Working with distributed systems (Spark clusters)

•Experience of working closely with business stakeholders

Job Level: Experienced Colleague

Location: Edinburgh or Stirling

Closing Date: 11 January 2026

What we offer:

At M&G, we’re committed to helping you thrive and supporting your wellbeing, both at work and beyond. Our benefits are designed to help you balance your professional and personal life, while planning confidently for your future. Our UK benefits include:

As a savings and Investments firm we are proud to offer a valuable pension scheme of 18%, with 13% made up of Employer Contributions and 5% Employee Contributions.We also offer Share Save and our Share Incentive Plan, together with access to financial wellbeing and support services - to help give you real confidence to put your money to work.

Enjoy 38 days annual leave including bank holidays, with the opportunity to purchase up to 5 extra days and additional flexibility through our Time Off When You Need It policy – to balance your work and personal commitments.

Our market leading Inspiring Families policy includes comprehensive support and paid parental leave covering maternity, adoption, surrogacy, and paternity leave - as supporting families is a core aspect of our inclusive culture.

Health & Protection cover including Private Healthcare, Critical Illness cover and Life Assurance for you, with family options - for peace of mind.

To explore more about life at M&G and our full benefits offering, visit

We have a diverse workforce and an inclusive culture at M&G, 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.

M&G is also proud to be a , and we welcome applications from candidates with long-term health conditions, disabilities, or neuro-divergent conditions. 

If you need assistance or an alternative means of applying for a role due to a disability or additional need, please let us know by contacting us at: