Data Scientist

TVS-SCS
Lutterworth
2 years ago
Applications closed

Related Jobs

View all jobs

Data Scientist

Data Scientist

Data Scientist

Data Scientist

Data Scientist

Data Scientist

Job Overview

Working to with across our Lutterworth campus with one of the UK’s largest energy providers, the data scientist will be key in improving future forecasting both within operations as well as to provide an improved service to the customers nationwide fleet of field engineers. The data scientist will be key in driving the correct business decisions supporting the success of two warehouse sites & supply chain operation.

Job Responsibilities

  • Working with data both internally and from the customer to understand demand profiles for field requirements & returns.
  • Exploring the use of AI & machine learning tools to support the transformation of both the logistical & warehousing areas of the business.
  • Assist in the creation of reports to effectively measure success of all supply chain & warehouse processes and feedback into the operations teams.
  • Support in the production of regular reporting streams for use within business reviews as well as producing adhoc reports when required.
  • Work closely with business leadership to understand there needs and where data can help us to make better decisions.
  • Attend monthly Account Review Meetings and report on current and delivered initiatives.

Qualifications and Skills

  • Educated to a minimum of A-Level standard or equivalent.
  • Highly analytical with strong data management skills.
  • Experience with a wide range of data management tools.
  • Knowledge of supply chain and logistics industry.
  • Experience in extracting data from Warehouse Management Systems.
  • Previous experience in creating & automating detailed, granular & wide ranging forecasts
  • Enthusiastic to create change.
  • Keen interest in AI & Machine learning with the skills to implement them within our business.
  • Project management skills.
  • Understanding of Logistics / Warehouse fulfilment operations would be an advantage but is not essential.

 

 

 

Experience

 

  • Experience of using complex data sets to support the direction of travel in past business’
  • Experience producing complex forecasts through detailed analysis.
  • Proven ability to use data to tell a story to a variety of stake holders.
  • Past experience with machine learning & AI extremely advantageous

 

Competencies

 

  • Continuous Improvement
  • Problem Solving
  • Attention to Detail
  • Judgement and decision making
  • Agile Thinking
  • Customer focus
  • Team working
  • Planning & Organisation

 

In return for your hard work, we offer excellent career progression opportunities and a professional environment where you can acquire, use, and continue developing your skills.

 

Your package will include:

 

  • Competitive Salary and pension scheme with life assurance
  • 25 Days Holiday (plus 8 statutory Bank Holidays)
  • Holiday buy-back scheme (5 additional days available)
  • Employee Assistance Programme supporting wellness with immediate access to:
    1. GP consultation and second opinions
    2. Mental health support
    3. Financial and Legal support
    4. Wellbeing and healthy living support
  • Employee referral scheme with financial reward
  • Cycle to work scheme
  • Professional Membership and Study Sponsorship
  • Pass scheme (£100 to undertake training of your choice)

 

At TVS SCS we encourage and support our employees to realise their potential. They are empowered to take initiative and achieve high impact results that really make a difference to our business and our customers.

 

If you require any adjustments to allow you take a full and active part in the selection process, please notify us as part of your application. Please note TVS Supply Chain Solutions is an Equal Opportunities Employer.

TVS have signed the Armed Forces covenant and are a forces friendly employer.

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Where to Advertise AI Jobs in the UK (2026 Guide)

Advertising AI jobs in the UK requires a different approach to most technical hiring. The candidate pool is small, highly informed and in demand across multiple sectors simultaneously. General job boards reach a broad audience but lack the specificity that AI professionals expect — and the filtering mechanisms they rely on. Specialist platforms, direct outreach and academic channels each serve a different part of the market. This guide, published by ArtificialIntelligenceJobs.co.uk, covers where to advertise AI roles in the UK in 2026, how the main platforms compare, what employers should expect to pay, and what the data says about time-to-hire across different role types.

New AI Employers to Watch in 2026: UK and Global Companies Reshaping AI Careers

The artificial intelligence job market in the UK is evolving at an extraordinary pace. With record-breaking investment, government backing, and a surge in enterprise adoption, the landscape of AI employers is shifting rapidly. For candidates exploring opportunities on ArtificialIntelligenceJobs.co.uk, understanding who is hiring next is just as important as understanding what skills are in demand. In this article, we explore the new and emerging AI employers to watch in 2026, focusing on organisations that have recently secured funding, won major contracts, or expanded their UK footprint. From cutting-edge startups to global giants doubling down on Britain, these companies represent the next wave of AI career opportunities.

How Many AI Tools Do You Need to Know to Get an AI Job?

If you are job hunting in AI right now it can feel like you are drowning in tools. Every week there is a new framework, a new “must-learn” platform or a new productivity app that everyone on LinkedIn seems to be using. The result is predictable: job seekers panic-learn a long list of tools without actually getting better at delivering outcomes. Here is the truth most hiring managers will quietly agree with. They do not hire you because you know 27 tools. They hire you because you can solve a problem, communicate trade-offs, ship something reliable and improve it with feedback. Tools matter, but only in service of outcomes. So how many AI tools do you actually need to know? For most AI job seekers: fewer than you think. You need a tight core toolkit plus a role-specific layer. Everything else is optional. This guide breaks it down clearly, gives you a simple framework to choose what to learn and shows you how to present your toolset on your CV, portfolio and interviews.