Data Scientist
Let's Take it On
£29,000 - £46,000
Label Operations
Head Office, Leicestershire
Working Pattern: Typically 5 days in office, with core hours flexible between 8am-6pm.
PLEASE NOTE: We are only accepting applications from candidates who submit a cover letter to outline how your skills align with the role requirements.
At NEXT, we’re not only one of the UK’s largest fashion retailers. We’re also one of the largest listed companies, full-stop. We sell our products and thousands of world-famous brands, both in-store and online. What’s more, we’re growing. Fast. And it’s the kind of growth and investment that is exciting for everyone in our business.
We work with over 600 brands who all sell their products on the NEXT website, from sports brands Nike and Adidas to premium fashion brands Ralph Lauren and Hugo Boss. The branded business at NEXT represents a third of the group's online turnover.
The Branded Operations team is responsible for optimisation of product & imagery data from our 600 brands.
We're looking for talented individuals who love to solve problems, analyse data and find new ways of doing things to drive real business value. From experts looking at flows of product data and imagery to individuals optimising how items sell on our website, our team is a diverse collection of highly motivated, innovative people.
Your role
Process Optimisation
Avoiding problems occurring you implement processes that work. Exploiting AI to consume data quickly you will be at the forefront of developments that drive better processes.
System Optimisation
Exploring the latest technologies and selecting the right tools for the job. Seeking opportunities to modernise and de-risk unsupported systems.
Knowledge Optimisation
Seek, enable and facilitate learning opportunities. Support colleagues by sharing knowledge and understanding.
Networking
To build, maintain and grow relationships with all relevant internal and external stakeholders. Giving you access to the people required to deliver your personal and business goals.
The day to day
After spending time understanding the challenges that have been presented to you, you will lead projects and improvements from inception to completion. You will work on collating and refining the data sets required for your solution. You will perform preliminary analysis of the data before producing models to provide predictions.
About you
We are looking for an individual who loves to roll up their sleeves and solve problems, taking ownership and driving change. We are excited to bring someone on board who is brave and offers innovative ideas, and is not scared to challenge the status quo. By channeling innovation in an assertive and professional way, this person could be pivotal when implementing changes and improving processes.
Your enthusiasm knows no bounds, and you're not one to sit back and wait for opportunities to come knocking. Proactive and self-aware, you understand the power of initiative and seize every chance to make an impact. Learning new systems and tools doesn't faze you - you're eager to pick up new skills and adapt to whatever comes your way.
But it's not just about numbers and algorithms for you. You're a true people person, relishing the art of relationship building. Whether it's forging connections with internal teams, external stakeholders, or your peers, you excel at fostering collaborative environments where ideas flourish.
Communication is your superpower. You have a knack for distilling complex processes into easily digestible insights, effortlessly bridging the gap between technical jargon and layman's terms. Your ability to convey a simplified view to both technical and non-technical audiences sets you apart.
You hold a degree in a numerical based subject.
Ideal, but not essential
1. Understanding of Machine Learning techniques.
2. Experience with data visualisation tools e.g. PowerBI, SSRS, Tableau.
Familiarity with Google Apps, Gmail, Drive, Sheets.
Your benefits
We’ll discuss more of what you’ll get when you work for Next at interview, but here’s an overview of what you can expect:
3. Profit–related bonus
4. 25 days holiday and the opportunity to buy more
5. Contributions into a pension scheme
6. Life assurance
7. Sharesave scheme, which allows you to invest in Next and claim your share of our success
8. A fantastic restaurant, coffees shops and juice bar
9. Staff shop
10. Free parking on-site, including car sharing
11. 25% staff discount on most Next products – either in our stores or delivered directly to your desk
12. On-site nursery (salary sacrifice scheme) in Leicester
13. National and local discounts on goods and services
14. A digital GP healthcare service
Sponsorship
Candidates wishing to apply who would require sponsorship for this role will be required to meet the Home Office sponsorship requirements. For further information please see: https://www.gov.uk/skilled-worker-visa.
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 headoffice_careers@next.co.uk (please include 'Workplace Adjustments' in the subject line), or call us on 0116 284 2486 and leave a voicemail.
We encourage early applications for our roles, as our recruitment process begins as soon as the role is advertised. If we successfully fill the position, this advert may close earlier than planned.