Data Scientist

Next
Leicester
1 week ago
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Job Description

Let’s talk numbers. When it comes to UK retail, it’s hard to find a bigger name. We sell thousands of items an hour and are expanding our e‑commerce business by the second. For anyone in Tech, this is the place to learn. To grow. And to thrive.


About the Role

As a Data Scientist at NEXT you will build data driven solutions through state of the art machine learning techniques in order to maximise the profitability. What else is involved?



  • Working with teams from around the business to understand problems and opportunities and gather requirements for model building.
  • Interrogating large volumes of data from a range of sources, including transactional, demographic and online, to collect data for modelling.
  • Building predictive models and segmentations to improve profitability and improve the customer experience.
  • Working with the commercial teams to implement tests to prove the value of predictive models.
  • Presenting model findings and analysis to a range of audiences.
  • Proactively identifying opportunities for personalisation and improvements to the customer experience.

You’ll be doing all this from our Leicestershire Head Office. Our offices are inspiring, yes. But we understand that life happens. So, we’re big on making sure your work, works for you which is why we offer flexible working. Bring your energy. Play to your strengths. Make things bigger and better than before.


About You

  • Have experience with solving data science problems in Python and SQL.
  • Solid understanding of statistical techniques and experience applying them to real world problems.
  • Previous experience working with Causal Inference models and/or projects related to marketing would be an advantage.
  • Have excellent communication skills, comfortable presenting to a range of audiences and tailoring content accordingly.
  • Have good time management skills with the ability to manage multiple deadlines and priorities.
  • Prior experience of Databricks would also be advantageous.

So if you have experience in Data Science, experience with recommender systems (desirable, not essential), have strong Python/SQL skills and knowledge in test design, implementation and reporting, can work with initiative and can build great working relationships within the business, this is the place for you – and your career.


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 online 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 (please include "Workplace Adjustments" in the subject line), or call us on and leave a voicemail.


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