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We have exciting Trainee Data Scientist opportunities in the eCommerce Data team at NEXT! Based from NEXT Head Office in Leicestershire.
About The Role
eCommerce Data sits at the heart of how we understand our customers by turning shopping behaviour into insight that drives smarter business decisions.
As a Trainee Data Scientist you will be working across our data science teams within eCommerce, where you’ll learn how data science powers our algorithms and supports meaningful revenue impact.
This is a great opportunity to start your career within an experienced team, gaining hands-on mentorship and the chance to develop real world skills in eCommerce and machine learning.
Through this trainee programme, you will be given the tools and support to learn the role here at NEXT, with the view to progress into a Data Scientist position within 12-18 months.
What You’ll Be Doing
- Learn & Build: Support the development, testing, and deployment of predictive models used in our algorithms, learning modern machine learning techniques along the way.
- Data Exploration & Analysis: Work with large datasets to uncover insights, understand customer behaviour, and help improve model performance.
- Production Exposure: Contribute to production-quality code with guidance from senior team members, gaining experience in best practices for deploying data science solutions.
- Collaboration & Communication: Work closely with data scientists, engineers, and stakeholders across eCommerce to share findings and support business decisions.
- BSc (or working towards MSc) in Statistics, Mathematics, Computer Science, Data Science, or a related field.
- A strong interest in machine learning, data analysis, and recommendation systems.
- Experience with Python, R or SQL (through coursework, projects, or internships).
- A curious mindset with a willingness to learn and develop new technical skills.
- Good communication skills and the ability to explain findings clearly.
- Familiarity with tools such as MLflow, Databricks, or git (not essential – training provided).
- Experience with personal projects, placements, or internships involving data or machine learning.
Before applying, please check that you are available for our upcoming recruitment dates:
- 31st March - 7th April 2026: Video Application window
- 29th April 2026: Assessment Centres
- July 2026: Role Start Date
About Us
You know Next, but did you know we’re a FTSE-100 retail company employing over 35,000 people across the UK and Ireland. We’re the UK’s 2nd largest fashion retailer and for Kidswear we’re the market leader. At the last count we have over 500 stores, plus the Next Online and it’s now possible to buy on-line from over 70 countries around the world! So we’ve gone global!
About The Team
- 25% off most NEXT, MADE*, Lipsy*, Gap* and Victoria's Secret* products (*when purchased through NEXT)
- Company performance based bonus
- Sharesave scheme
- On-site Nursery available; OFSTED outstanding in all areas
- 10% off most partner brands & up to 15% off Branded Beauty
- Early VIP access to sale stock
- Access to fantastic discounts at our Staff Shops
- Restaurants with great food at amazing prices
- Access a digital GP and other free health and wellbeing services
- Free on-site parking
- Financial Wellbeing - Save, track and enhance your financial wellbeing
- Apprenticeship - Grow and develop on the job whilst gaining a qualification
- Direct to Work - Discount online and instore, collect your items the next day for free from your place of work or local store
- Support Networks - Access to Network Groups to empower and celebrate each other
- Wellhub - Discounted flexible monthly gym memberships, with apps, PT sessions and more
We aim to support all candidates during the application process and are happy to provide workplace adjustments when necessary. Should you need support with your application due to a disability or long-term condition, feel free to get in touch with us by email [email protected] (please include 'Workplace Adjustments' in the subject line), or call us on 0116 284 2486 and leave a voicemail.
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