Equifax

Data Scientist - Fraud

United Kingdom · Work style not stated · Full time

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About the role

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EmployerEquifax
LocationUnited Kingdom
Work styleWork style not stated
Employment typeFull time
Employer posted25 Sep 2026

Equifax is where you can power your possible. If you want to achieve your true potential, chart new paths, develop new skills, collaborate with bright minds, and make a meaningful impact, we want to hear from you.

Come join the Equifax UK Data & Analytics team and develop market leading fraud scores, models and analytical solutions using the latest cloud based technologies, techniques and tooling. Be part of a growing and diverse team tasked with creating the next generation of statistical models, machine learning algorithms and AI based products and services.

We believe great things happen when teams connect. Our schedule is built around 4 days of high-impact, in-office collaboration (Monday–Thursday), paired with Friday Flexibility to wrap up your week remotely.

What You’ll Do

Develop market leading statistical fraud models and pseudo-models for the Equifax UK business e.g. consumer fraud models, commercial fraud models, synthetic fraud, payment intent models, and loan stacking indicators and models Utilise and blend all available data sources to ensure all fraud models are highly predictive and market leading - consumer bureau data, postcode insights, open source data,transactional insights & fraud indicators from partnerships
Apply traditional model development techniques and approaches (e.g. logistic regression) as well as adopting new AI/ML techniques such as gradient boosting, random forests, clustering, etc.
Utilise the latest cloud based technologies and analytical tooling to support test-and-learn champion/challenger approaches towards new fraud scores and models
Consider the creation of new characteristics/attributes to improve and maximise the predictive power of the model(s) as well as enhancing and creating other analytical products and services. This can be done through expert approaches or through AI approaches (e.g. transformers)
Investigate and apply appropriate segmentation and sub-populations to maximise overall model & score performance
Liaise with internal stakeholders in a timely and effective manner towards the delivery of new scores and products e.g. Product Managers, Model Risk Management, Pre-Sales, Consultancy, Compliance, Technology, Data & Analytics etc.
Work closely with Data Scientists and analytical teams globally across the Equifax business to share best practice and learnings
Adhere to relevant model development policies and procedures towards a successful deployment of scores and models e.g. sample design, good/bad definitions, rationale for exclusions, model development, model validation, implementation, etc.
Produce suitable documentation alongside the statistical development of the model(s) to support peer review and Model Risk Management processes

Show full description

What experience you need

Experience using credit bureau data in statistical fraud models - raw and summarised data
Extensive experience developing statistical models and scores particularly within fraud (consumer and commercial)
Highly numerate with a relevant degree 2:1 or above
Use of relevant analytical tooling on a day-to-day basis e.g. Python, SAS, BigQuery, Jupyter Notebook, SQL, etc.
Previous experience of developing regression models and scores - e.g. logistic
Day to day exposure to large/complex datasets, analytical tools, spreadsheets, analytical platforms, etc.
Able to extract data from multiple platforms and create master datasets towards the development of statistical models
Experience across different fraud types, e.g. consumer fraud, commercial fraud, Anti-Money Laundering, KYC.
A team player, effective communicator with the ability to work unsupervised
Understanding of the regulatory landscape with respect to consumer & commercial credit and the potential impact to our clients (i.e. addressing the "why" behind our decision making)

What could set you apart

Experience of developing AI/ML based fraud solutions and models
Day to day use of G-Suite tooling, GCP and VertexAI
Experience of working in a credit reference agency and/or client environment e.g. Banking, Lending, Insurance, Public Sector, Utilities, etc.
Use of LLMs to improve efficiencies in the model building process
Use of alternative data such as open banking transactional data in statistical models
Experience of working in a product development environment
Experience with industry related fraud prevention tools (e.g. Hunter, Kount, SEON, ThreatMetrix, Lexisnexis, Minerva, CrossCore, TruValidate, FICO Falcon, etc.)
Experience with standard product testing procedures (UAT, OAT, regression, etc.)
Adoption of champion/challenger approaches and techniques
Creative and innovative thinker
Strong track record of delivery
Team player with the ability to go above and beyond

The Perks of being a Equifax Employee?

We offer a wide range of company supported benefits including contributory pension, life cover, income protection, healthcare, enhanced maternity and sick pay, 26 days holiday and a day off for your birthday, with the ability to buy and sell and free credit checks. We also offer flexible benefits ranging from cycle to work, discounted travel options, gym membership, dining and leisure discounts, financial & savings plans, mobile discounts plus much more!

We also support personal development and have a range of learning options including our global online learning platform and allow you to bring your whole self to work supported by our Inclusion and Diversity, Wellbeing and Employee Engagement forums.

Are you ready to power your possible? Apply today, and get started on a path toward an exciting new career at Equifax, where you can make a difference!

Primary Location:

GBR-London

GBR-Leeds-6-Wellington, GBR-Nottingham

Function:

Function - Data and Analytics

Schedule:

Full time

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