Data Science & AI Degree Apprentice
Data preparation and management: Collect, clean, organise, and structure business data from booking records, customer enquiries, diagnostic reports, and workshop logs.
Data analysis and statistical modelling: Analyse trends in workshop capacity, customer behaviour, repeat visits, and vehicle fault patterns using Python and data-analysis tools.
Dashboards and data visualisation: Build and maintain interactive dashboards and reports to present key performance metrics clearly to managers, technicians, and customer service teams.
AI and machine learning development: Build, train, and test machine learning models to forecast workshop demand, predict repair requirements, and optimise appointment scheduling.
Process automation: Help develop intelligent tools, such as an automated customer enquiry system using Natural Language Processing (NLP) to categorise queries and streamline bookings.
Cross-functional collaboration: Work closely with workshop technicians, management, and administrative colleagues to translate operational challenges into data-driven solutions.
Data ethics and governance: Ensure all customer, vehicle, and operational data is handled in strict compliance with data security, privacy, and ethical guidelines.
Training:
Qualification and Delivery Model
You will study towards a Level 6 BSc (Hons) Data Science Degree Apprenticeship awarded by the University of Hertfordshire.
Training Locations
Workplace Mentoring: AutoNet VIP workshop based in Harlow, Essex.
Academic Delivery: University of Hertfordshire, College Lane / de Havilland Campus, Hatfield, AL10 9AB.
Training Schedule & Structure
Study Mode: Delivered through a blended learning model, combining scheduled campus teaching blocks or day-release sessions at the University of Hertfordshire with guided online study.
Off-the-Job Training: At least 20% of your paid working hours will be dedicated to off-the-job training, university study, and completing assignments.
On-the-Job Learning: Continuous workplace mentoring by senior colleagues at AutoNet VIP, applying technical learning directly to live automotive datasets and software systems.
Review & Support: Regular progress reviews and Tripartite Review Meetings involving you, your workplace mentor, and your University of Hertfordshire Apprenticeship Progress Tutor to support your professional and academic milestones.
Training Outcome:
Upon successful completion of the Level 6 Degree Apprenticeship and graduation with a BSc (Hons) in Data Science, a permanent position within AutoNet VIP will be available for a high-performing apprentice.
As AutoNet VIP continues its digital transformation and business growth, career progression routes include:
Data Scientist / AI Specialist: Leading the design, training, and deployment of machine-learning models, predictive maintenance tools, and automated operational systems across the workshop network.
Business Intelligence & Analytics Lead: Managing company dashboards, commercial reporting, customer retention analytics, and data infrastructure to drive strategic business decisions.
Digital Solutions & Automation Developer: Overseeing the technical roadmap for customer booking platforms, automated communications, and garage-management system integrations.
Postgraduate Study & Specialisation: Progression opportunities towards professional body registration (e.g. RSS, BCS) or Level 7 postgraduate study (such as an MSc or Level 7 Artificial Intelligence / Data Specialist Degree Apprenticeship).
Employer Description:
AutoNet VIP is a growing, family-run vehicle repair and diagnostics business based in Harlow, Essex. We specialise in electric and hybrid vehicle technologies alongside traditional petrol and diesel models.
Built on a commitment to honest, high-quality service and cutting-edge diagnostic technology, the workshop handles everything from routine servicing and MOTs to complex electronic repairs and performance vehicles.
As a forward-thinking business, AutoNet VIP actively embraces digital innovation—including online booking systems, automated customer communications, and data-driven workshop management. We are dedicated to investing in future talent, supporting our apprentices with hands-on mentoring, modern technical facilities, and direct exposure to real-world commercial challenges.
Working Hours :
Monday to Friday, between 8:00am and 5:00pm (or 8:30am to 5:00pm, exact shift pattern to be agreed). University attendance and study time are integrated into these working hours. Occasional Saturday working may be required.
Skills:
Communication skills,IT skills,Attention to detail,Customer care skills,Problem solving skills,Presentation skills,Number skills,Analytical skills,Logical,Team working,Initiative,Curiosity,Commercial awareness,Continuous learning mindset,Data security and ethics aware