Procurement Data Science Degree Apprentice

Veolia
Cannock
11 months ago
Applications closed

Related Jobs

View all jobs

Analytics Specialist with Data Science

Data Analyst - Procurement

Data Analyst

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

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.

How to Write a Machine Learning Job Ad That Attracts the Right People

Machine learning now sits at the heart of many UK organisations, powering everything from recommendation engines and fraud detection to forecasting, automation and decision support. As adoption grows, so does demand for skilled machine learning professionals. Yet many employers struggle to attract the right candidates. Machine learning job adverts often generate high volumes of applications, but few applicants have the blend of modelling skill, engineering awareness and real-world experience the role actually requires. Meanwhile, strong machine learning engineers and scientists quietly avoid adverts that feel vague, inflated or confused. In most cases, the issue is not the talent market — it is the job advert itself. Machine learning professionals are analytical, technically rigorous and highly selective. A poorly written job ad signals unclear expectations and low ML maturity. A well-written one signals credibility, focus and a serious approach to applied machine learning. This guide explains how to write a machine learning job ad that attracts the right people, improves applicant quality and strengthens your employer brand.

Maths for Machine Learning Jobs: The Only Topics You Actually Need (& How to Learn Them)

Machine learning job adverts in the UK love vague phrases like “strong maths” or “solid fundamentals”. That can make the whole field feel gatekept especially if you are a career changer or a student who has not touched maths since A level. Here is the practical truth. For most roles on MachineLearningJobs.co.uk such as Machine Learning Engineer, Applied Scientist, Data Scientist, NLP Engineer, Computer Vision Engineer or MLOps Engineer with modelling responsibilities the maths you actually use is concentrated in four areas: Linear algebra essentials (vectors, matrices, projections, PCA intuition) Probability & statistics (uncertainty, metrics, sampling, base rates) Calculus essentials (derivatives, chain rule, gradients, backprop intuition) Basic optimisation (loss functions, gradient descent, regularisation, tuning) If you can do those four things well you can build models, debug training, evaluate properly, explain trade-offs & sound credible in interviews. This guide gives you a clear scope plus a six-week learning plan, portfolio projects & resources so you can learn with momentum rather than drowning in theory.

Neurodiversity in Machine Learning Careers: Turning Different Thinking into a Superpower

Machine learning is about more than just models & metrics. It’s about spotting patterns others miss, asking better questions, challenging assumptions & building systems that work reliably in the real world. That makes it a natural home for many neurodivergent people. If you live with ADHD, autism or dyslexia, you may have been told your brain is “too distracted”, “too literal” or “too disorganised” for a technical career. In reality, many of the traits that can make school or traditional offices hard are exactly the traits that make for excellent ML engineers, applied scientists & MLOps specialists. This guide is written for neurodivergent ML job seekers in the UK. We’ll explore: What neurodiversity means in a machine learning context How ADHD, autism & dyslexia strengths map to ML roles Practical workplace adjustments you can ask for under UK law How to talk about neurodivergence in applications & interviews By the end, you’ll have a clearer sense of where you might thrive in ML – & how to turn “different thinking” into a genuine career advantage.