Data Scientist – GenAI & AI Engineering-4 month secondment

Experian; Greater London; Hybrid; GBP 60,000 - 90,000; Full time

Benefits offered by this job

Hybrid working - 40% office based

Discretionary bonus plan

Pension & healthcare

Job summary

Experian's Generative AI Centre of Expertise (GenAI CoE) in the UK seeks a mid-level Data Scientist who enjoys hands-on work and wants to grow into AI engineering. You will report to the Head of Machine Learning and work across experimentation, evaluation, and AI engineering to build GenAI capabilities for product contexts.

You will collaborate with product, engineering and business teams to frame problems, design experiments, and define success metrics, while shaping AI solutions that are

Qualifications

• Mid-level data scientist role in GenAI CoE at Experian UK.
• Experience in applied machine learning with Python programming.
• Willingness to grow towards AI engineering and product-focused delivery.

Responsibilities

• Collaborate with product, engineering, and business teams to turn fuzzy ideas into clear problem statements and success metrics.
• Design and run experiments to evaluate GenAI systems, including baseline comparisons and error analysis.
• Refine GenAI solutions using modern development practices and AI-assisted coding tools.
• Communicate results, including trade-offs, limitations, and next steps.
• Allocate ~10% of time to learning and knowledge sharing.

Skills

Data Scientist

Machine Learning

Python

Job description

Role Overview

The Generative AI Centre of Expertise (GenAI CoE) at Experian helps teams across Experian's UK business. It improves products using Generative AI, machine learning, and automation. The centre has a focus on responsible, measurable impact.

Who is a GenAI CoE Data Scientist?

This is a mid-level, hybrid secondment role for a data scientist who enjoys hands-on work and wants to grow into AI engineering. You'll report into the Head of Machine Learning and work across two connected areas:

• Experimentation and evaluation (data science): framing problems, designing experiments, defining success metrics, analysing results, and understanding model/system behaviour in product contexts
• AI engineering: build GenAI systems (prototypes through to production-ready components), supported by experienced colleagues

A big part of the job is choosing the right approach - when GenAI is valuable, and when simpler analytics or ML is the better answer.

What you'll do

• You will work with product, engineering, and business teams to turn fuzzy ideas into clear problem statements, assumptions, and success metrics
• You will design and run experiments to evaluate GenAI systems, including baseline comparisons, error analysis, and understanding failure modes
• Help refine GenAI solutions, using modern development practices and AI-assisted coding tools to iterate quickly
• Communicate results, including trade-offs, limitations, and recommendations for what to do next
• Share insights with the team and spend ~10% of your time on learning and knowledge sharing

Experience and Skills

You have experience working as a data scientist (or in a similar role), applied machine learning, and Python programming.

• You are comfortable working with incomplete information, and enjoy figuring things out through exploration and experimentation.
• You are keen to develop broader skills across AI engineering and product-focused delivery.
• You think beyond your scope: you join up product, data, and engineering context to spot issues early and improve decisions.

It would be great if you also have

• Exposure to software engineering practices such as version control, testing, or object-oriented programming.
• You will understand how companies deploy or run AI systems in practice through cloud services or containerised environments.
• Experience explaining technical concepts or analysis to non-technical partners

About Experian

Experian is a global data and technology company, powering opportunities for people and businesses around the world. We operate across a range of markets, from financial services to healthcare, automotive, agribusiness, insurance, and many more. Experian invests in people and new advanced technologies to unlock the power of data. We have an amazing team of 25,200 people in 32 countries.

Internal Grade D/EB8

Benefits package includes:

• Hybrid working - 40% office based
• Great compensation package and discretionary bonus plan
• Core benefits include pension, bupa healthcare, sharesave scheme and more!
• 25 days annual leave with 8 bank holidays and 3 volunteering days. You can also purchase additional annual leave.

Recruitment Fraud Awareness

Experian's recruitment process is conducted only through authorised channels. Recruitment communications will only be sent from an @experian.com email address. Experian will never ask candidates to make any payment as part of an application, interview, assessment, onboarding, or recruitment process.

Our uniqueness is that we celebrate yours. Experian's people first, inclusive and purpose driven culture is multi award-winning; World's Best Workplaces 2025 (Fortune Global Top 25), Great Place To Work in 26 countries to name a few. Check out Experian Life on social or explore our Careers Site to understand why. Experian is also proud to be an Equal Opportunity and Aff

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Experian Careers - Creating a better tomorrow together