Lead Data Scientist at Next Plc

Enderby, England, United Kingdom -

Full Time

Start Date

Immediate

Expiry Date

07 May, 26

Salary

0.0

Posted On

06 Feb, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Science, Machine Learning, Predictive Modeling, SQL, Python, PyTorch, TensorFlow, Distributed Processing, Communication Skills, Personalization, Recommendation Systems, Leadership, Stakeholder Engagement, Data Analysis, Customer Experience, Problem Solving

Industry

Description

Our eCommerce Data team are hiring a Lead Data Scientist to be at the forefront of our global growth! Based from NEXT Head Office in Leicester! The role eCommerce Data provides the department and the business the means to see what is working and what is not by drawing data and analysing patterns of shopping on our site and in general. As a Lead 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 you'll take on Proactively lead the design, development, and deployment of data science solutions. 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. Proactively identifying opportunities for personalisation and improvements to the customer experience. Present outcomes to senior leadership teams and work with stakeholders across the eCommerce team to move towards shared business goals. What you'll bring BSc, MSc, or PhD in Statistics, Mathematics, Computer Science, or a related field. Proven years of experience in Data Science, with a focus on personalisation or recommendation systems. Proven leadership experience with the ability to guide projects from conception to deployment. Advanced proficiency in PyTorch or TensorFlow Strong proficiency in SQL, Python, and distributed processing (PySpark). Strong communication skills with the ability to translate complex data insights into actionable business strategies. 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! 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 Conditions apply to all benefits. These benefits are discretionary and subject to change. 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.

Responsibilities

Lead the design, development, and deployment of data science solutions while collaborating with various teams to understand business problems. Build predictive models and segmentations to enhance profitability and customer experience.