Procurement Data Science Degree Apprentice

Veolia
Cannock
3 months ago
Applications closed

Related Jobs

View all jobs

Data Scientist

Bureau Data Analyst

Procurement Consultant

Data & Insights Analyst

Estimator

Procurement Data Science Degree Apprentice
Salary:Competitive plus Veolia benefits
Hours:40 hours per week
Location:Kingswood (Cannock), WS11 8JP
Programme Duration:5-year programme

Candidate shortlisting will take place on w/c 17th and 24th February and assessment days will take place between w/c 3rd and 10th March

When you see the world as we do, you see the chance to help the world take better care of its resources, and help it become a better place for everyone.

Our apprenticeship scheme puts you at the forefront of Ecological Transformation, contributing towards our purpose of protecting the planet's natural resources, while supporting the communities we work in.

We know that everyone here at Veolia can help us work alongside our communities, look after the environment in small and big ways, and contribute towards our inclusive culture.


What we can offer you;

  • 25 days of annual leave
  • Onsite facilities including a free gym, parking and subsidised restaurant
  • Access to our company/people's pension scheme
  • Discounts on everything from groceries to well-known retailers
  • One paid days leave every year to volunteer and support your community
  • Access to a range of resources to support your physical, mental and financial health; so you can lean on us whenever you need to
  • 24-hour access to a virtual GP, 365 days a year, for you and family members in your household
  • Ongoing training and development opportunities, allowing you to reach your full potential


Apprenticeship Programme;

During this programme, we'll help you develop your practical and behavioural skills and support you in gaining the technical and professional knowledge required for you to succeed in your career.

As well as this, you'll also gain a Level 6 Data Scientist Integrated Degree.

With many of our colleagues starting as apprentices, you'll receive full support and guidance from everyone throughout.

By the end of your apprenticeship, you'll have received industry-standard training and attained qualifications that will enable you to progress and reach your full potential.


What you'll be doing;

As a Procurement Data Science Degree Apprentice at Veolia, you'll play a crucial role in supporting our Green-Up Strategy through data-driven procurement.

Your responsibilities will include:

  • Learning to manage and analyse procurement data, ensuring accuracy and reliability.
  • Assisting the Procurement team in making informed decisions based on data insights.
  • Helping to develop and implement data solutions that enhance our procurement processes.
  • Supporting projects aimed at improving efficiency and automation in procurement.
  • Creating clear and concise reports on procurement data for various team members.
  • Collaborating with different departments to understand their data needs and requirements.
  • Gaining hands-on experience with cutting-edge technologies, including AI-driven solutions for procurement.
  • Contributing to initiatives that optimise our ways of working and track the benefits of our procurement strategies

This apprenticeship offers a unique opportunity to learn about the strategic role of procurement in supporting Veolia's environmental goals while developing valuable skills in data analysis and business intelligence.

What we're looking for;

  • A minimum of 4 GCSEs Grade 4/C (or equivalent) achieved or predicted, including Maths & English
  • A Level 3 qualification, such as A-levels, a BTEC, or a Level 3 NVQ, in Mathematics, IT or a Data Science field
  • Good communication and interpersonal skills
  • Collaborative approach
  • High attention to detail and good analytical skills
  • Problem-solving skills
  • Interest in data and practical application of data in Procurement
  • Time management, planning and organisational skills


Before we can consider your application further, you'll need to complete a couple of short, gamified assessments. If you're successful following this, we'll then invite you to one of our virtual assessment days and a site visit.


What's next?

Apply today, so we can make a difference for generations to come.

We're proud to be listed in The Sunday Times Best Places to Work 2024, being named as a Top 10 Very Big Organisation to work for two years in a row! This accolade further demonstrates our commitment to our people and our actions in creating an environment where everyone can be their true selves and enjoy working at Veolia.

We want to ensure that you feel supported throughout the application process and provide reasonable adjustments where necessary and requested. If you require any reasonable adjustments as part of your application and interview process please do not hesitate to let us know.

We know how important it is to be fully committed to building and maintaining a diverse and inclusive place to work for every one of our colleagues. We are committed to ensuring that all job applicants and members of staff are treated equally, without discrimination because of sex, gender, sexual orientation, marital or civil partner status, pregnancy or maternity, gender reassignment, race, nationality, ethnic or national origin, religion or belief, disability or age.

We therefore welcome and encourage all candidates who meet the minimum requirements to apply.

c2FtYWQubWFzb29kLjgwMTQ2LjEyMjcxQHZlb2xpYS5hcGxpdHJhay5jb20.gif

Get the latest insights and jobs direct. Sign up for our newsletter.

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

Industry Insights

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

Portfolio Projects That Get You Hired for Machine Learning Jobs (With Real GitHub Examples)

In today’s data-driven landscape, the field of machine learning (ML) is one of the most sought-after career paths. From startups to multinational enterprises, organisations are on the lookout for professionals who can develop and deploy ML models that drive impactful decisions. Whether you’re an aspiring data scientist, a seasoned researcher, or a machine learning engineer, one element can truly make your CV shine: a compelling portfolio. While your CV and cover letter detail your educational background and professional experiences, a portfolio reveals your practical know-how. The code you share, the projects you build, and your problem-solving process all help prospective employers ascertain if you’re the right fit for their team. But what kinds of portfolio projects stand out, and how can you showcase them effectively? This article provides the answers. We’ll look at: Why a machine learning portfolio is critical for impressing recruiters. How to select appropriate ML projects for your target roles. Inspirational GitHub examples that exemplify strong project structure and presentation. Tangible project ideas you can start immediately, from predictive modelling to computer vision. Best practices for showcasing your work on GitHub, personal websites, and beyond. Finally, we’ll share how you can leverage these projects to unlock opportunities—plus a handy link to upload your CV on Machine Learning Jobs when you’re ready to apply. Get ready to build a portfolio that underscores your skill set and positions you for the ML role you’ve been dreaming of!

Machine Learning Job Interview Warm‑Up: 30 Real Coding & System‑Design Questions

Machine learning is fuelling innovation across every industry, from healthcare to retail to financial services. As organisations look to harness large datasets and predictive algorithms to gain competitive advantages, the demand for skilled ML professionals continues to soar. Whether you’re aiming for a machine learning engineer role or a research scientist position, strong interview performance can open doors to dynamic projects and fulfilling careers. However, machine learning interviews differ from standard software engineering ones. Beyond coding proficiency, you’ll be tested on algorithms, mathematics, data manipulation, and applied problem-solving skills. Employers also expect you to discuss how to deploy models in production and maintain them effectively—touching on MLOps or advanced system design for scaling model inferences. In this guide, we’ve compiled 30 real coding & system‑design questions you might face in a machine learning job interview. From linear regression to distributed training strategies, these questions aim to test your depth of knowledge and practical know‑how. And if you’re ready to find your next ML opportunity in the UK, head to www.machinelearningjobs.co.uk—a prime location for the latest machine learning vacancies. Let’s dive in and gear up for success in your forthcoming interviews.

Negotiating Your Machine Learning Job Offer: Equity, Bonuses & Perks Explained

How to Secure a Compensation Package That Matches Your Technical Mastery and Strategic Influence in the UK’s ML Landscape Machine learning (ML) has rapidly shifted from an emerging discipline to a mission-critical function in modern enterprises. From optimising e-commerce recommendations to powering autonomous vehicles and driving innovation in healthcare, ML experts hold the keys to transformative outcomes. As a mid‑senior professional in this field, you’re not only crafting sophisticated algorithms; you’re often guiding strategic decisions about data pipelines, model deployment, and product direction. With such a powerful impact on business results, companies across the UK are going beyond standard salary structures to attract top ML talent. Negotiating a compensation package that truly reflects your value means looking beyond the numbers on your monthly payslip. In addition to a competitive base salary, you could be securing equity, performance-based bonuses, and perks that support your ongoing research, development, and growth. However, many mid‑senior ML professionals leave these additional benefits on the table—either because they’re unsure how to negotiate them or they simply underestimate their long-term worth. This guide explores every critical aspect of negotiating a machine learning job offer. Whether you’re joining an AI-focused start-up or a major tech player expanding its ML capabilities, understanding equity structures, bonus schemes, and strategic perks will help you lock in a package that matches your technical expertise and strategic influence. Let’s dive in.