Company Description

Experian is a global data and technology company, powering opportunities for people and businesses around the world. We help to redefine lending practices, uncover and prevent fraud, simplify healthcare, create marketing solutions, and gain deeper insights into the automotive market, all using our unique combination of data, analytics and software. We also assist millions of people to realise their financial goals and help them save time and money.

We operate across a range of markets, from financial services to healthcare, automotive, agribusiness, insurance, and many more industry segments.

We invest in people and new advanced technologies to unlock the power of data. As a FTSE 100 Index company listed on the London Stock Exchange (EXPN), we have a team of 22,500 people across 32 countries. Our corporate headquarters are in Dublin, Ireland. Learn more at experianplc.com

Job Description

Experian is a global leader in Data and Analytics. We have access to rich data that can be packaged and delivered to clients in many different ways. However, it's Analytics where we unlock the value in data and use it to help people, businesses and society.

Reporting into a Analytics leader, as a Graduate Data Analyst you’ll be responsible (under guidance), for data analysis and model development to address a range of business problems. You’ll achieve this by developing your programming skills in commonly used industry wide languages such as Python, R, SQL or Scala to extract, manipulate and analyse data to find insights and trends. You may also have the chance to develop modelling skills through applying predictive modelling techniques.

As you progress, you'll rotate around different areas to broaden your knowledge of our business and increase your understanding of data governance, data operations processes, data intelligence, implementation and standardisation or automation of analytic procedures.

Our Graduate roles are permanent opportunities, and you'll take part in our 2 year structured Early Careers Development Programme which is packed with workshops, short-courses and online material designed to help kick-start your career.

Qualifications

To be eligible to join this Graduate Programme, you'll need:

A minimum 2:2 degree classification in a Bachelor's degree with a high mathematical content (e.g. Computer Science, Data Science, Mathematics, Statistics, Operations Research, Economics, Physical Sciences or Engineering).To have graduated within the last three years (2023, 2024 or 2025 graduates)Any knowledge of machine learning, computer programming (eg. SAS, Python or R), statistical techniques or data visualisation tools (eg. Tableau, PowerBI) is desirable but not essential to the role.

It’s important that you’re the type of character who isn’t going to give up when you hit a complex problem: proactivity and curiosity will be your best friends in this role.

Whilst we have adopted a hybrid way of working, this role is based in Nottingham and requires you to work in the office weekly. Please only apply if this would be a suitable location for you.

Additional Information

Application Closing Date: Thursday 27th February. We aim to respond to all applications no later than the week after the closing date.

Start Date: September 2025

Starting Salary: £32,000

For this role we aim to hold online Assessment Centres on week commencing 31st March* (*Subject to change)

Click here to read our Early Careers guide for candidates

Benefits package includes:

Hybrid working #LI-HybridGreat compensation package and discretionary bonus planCore 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.

Experian is proud to be an Equal Opportunity and Affirmative Action employer. Innovation is an important part of Experian's DNA and practices, and our diverse workforce drives our success. Everyone can succeed at Experian and bring their whole self to work, irrespective of their gender, ethnicity, religion, colour, sexuality, physical ability or age. If you have a disability or special need that requires accommodation, please let us know at the earliest opportunity.

#LI-DNI

Experian Careers - Creating a better tomorrow together

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