Data Apprentice (Degree level)
MOOVE LUBRICANTS LIMITED
Kent (DA12 2QX)
Closes in 23 days (Sunday 21 June 2026)
Posted on 29 May 2026
Contents
Summary
We are offering an exciting opportunity for a Data Scientist Degree Apprentice to join our lubrication manufacturing business. This apprenticeship combines hands-on experience with university study towards a nationally recognised Level 6 Qualification
- Wage
-
£19,000 a year
Minimum wage rates (opens in new tab)
Planned yearly increases
- Training course
- Data scientist (integrated degree) (level 6)
- Hours
-
Monday - Friday, 08:30 - 17:30
40 hours a week
- Start date
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Monday 10 August 2026
- Duration
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3 years
- Positions available
-
1
Work
Most of your apprenticeship is spent working. You’ll learn on the job by getting hands-on experience.
What you'll do at work
You will support analysis and digital projects across manufacturing, supply chain, commercial and operational functions, while developing valuable technical and analytical skills.
Do you enjoy working with data, technology, and problem solving? Are you interested in how businesses use data to improve performance and decision making?
What You’ll Be Doing:
- Analysing business and operational data
- Creating reports, data pipelines, dashboards, and AI agents
- Supporting digital and data life-cycle improvement projects
- Assisting with forecasting and predictive analysis through ML models
- Working with different departments to translate business challenges into data solutions.
- Learning programming (SQL, Python, DAX and others), analytics, and data science techniques
Where you'll work
Moove
Dering Way
Gravesend
Kent
DA12 2QX
Training
Apprenticeships include time away from working for specialist training. You’ll study to gain professional knowledge and skills.
Training provider
BPP UNIVERSITY LIMITED
Training course
Data scientist (integrated degree) (level 6)
Understanding apprenticeship levels (opens in new tab)
What you'll learn
Course contents
- Identify and clarify problems an organisation faces, and reformulate them into Data Science problems. Devise solutions and make decisions in context by seeking feedback from stakeholders. Apply scientific methods through experiment design, measurement, hypothesis testing and delivery of results. Collaborate with colleagues to gather requirements.
- Perform data engineering: create and handle datasets for analysis. Use tools and techniques to source, access, explore, profile, pipeline, combine, transform and store data, and apply governance (quality control, security, privacy) to data.
- Identify and use an appropriate range of programming languages and tools for data manipulation, analysis, visualisation, and system integration. Select appropriate data structures and algorithms for the problem. Develop reproducible analysis and robust code, working in accordance with software development standards, including security, accessibility, code quality and version control.
- Use analysis and models to inform and improve organisational outcomes, building models and validating results with statistical testing: perform statistical analysis, correlation vs causation, feature selection and engineering, machine learning, optimisation, and simulations, using the appropriate techniques for the problem.
- Implement data solutions, using relevant software engineering architectures and design patterns. Evaluate Cloud vs. on-premise deployment. Determine the implicit and explicit value of data. Assess value for money and Return on Investment. Scale a system up/out. Evaluate emerging trends and new approaches. Compare the pros and cons of software applications and techniques.
- Find, present, communicate and disseminate outputs effectively and with high impact through creative storytelling, tailoring the message for the audience. Use the best medium for each audience, such as technical writing, reporting and dashboards. Visualise data to tell compelling and actionable narratives. Make recommendations to decision makers to contribute towards the achievement of organisation goals.
- Develop and maintain collaborative relationships at strategic and operational levels, using methods of organisational empathy (human, organisation and technical) and build relationships through active listening and trust development.
- Use project delivery techniques and tools appropriate to their Data Science project and organisation. Plan, organise and manage resources to successfully run a small Data Science project, achieve organisational goals and enable effective change.
Training schedule
- BPP apprenticeship training programmes are delivered virtually by our fully qualified and industry-experienced training team
- Using their expert knowledge, we’ve purposefully built our programmes around the real-world use of modern technology, so that the skills we create can be directly applied in the workplace
- Throughout the apprenticeship learners receive coaching, help and guidance from a dedicated team who are there to ensure they get the most from their work experience
Requirements
Essential qualifications
GCSE in:
UCAS Points in:
Share if you have other relevant qualifications and industry experience. The apprenticeship can be adjusted to reflect what you already know.
Skills
- Communication skills
- Attention to detail
- Problem solving skills
- Team working
- Analytical thinking skills
- Positive attitude
- Willingness to learn
- Curiosity
Other requirements
- Completion of a level 3 apprenticeship/professional qualification in a relevant discipline
About this employer
Lubricant and oil manufacturer and distributor.
After this apprenticeship
Temporary for the duration of the apprenticeship, with potential for a permanent opportunity upon successful completion.
What You’ll Gain:
- Level 6 Data Scientist Degree qualification
- Hands-on experience within manufacturing and business analytics
- Exposure to digital transformation and operational improvement
- Structured mentoring and development
- Long-term career opportunities within data, IT, and analytics
Ask a question
The contact for this apprenticeship is:
BPP UNIVERSITY LIMITED
The reference code for this apprenticeship is VAC2000034042.
Apply now
Closes in 23 days (Sunday 21 June 2026)
After signing in, you’ll apply for this apprenticeship on the company's website.