At a Glance
- Tasks: Work with live data to develop machine learning models and intelligent booking tools.
- Company: Join AutoNet VIP, a family-run business embracing digital innovation in vehicle repair.
- Benefits: Earn a debt-free BSc while gaining hands-on experience and mentoring.
- Other info: Enjoy excellent career progression opportunities in a dynamic environment.
- Why this job: Kickstart your tech career and make a real impact in the automotive industry.
- Qualifications: GCSEs in English and Maths, A Levels in Maths and two others.
The predicted salary is between 63000 - 77000 £ per year.
Launch your tech career with AutoNet VIP! Work directly with live business data to develop machine learning models, intelligent booking tools, and automated customer solutions. You'll gain hands-on commercial experience while studying for a debt‑free BSc (Hons) Data Science degree at the University of Hertfordshire.
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.
What You'll Do
- 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 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).
Skills Required
- 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
Qualifications
- Essential - GCSE - English Language - 4 or above
- Essential - GCSE - Maths - 4 or above
- Essential - A Level - Maths - B
- Essential - A Level - Non Specific - B
- Essential - A Level - Non Specific - B
Course Information
- Course: Data scientist (integrated degree) (level 6)
- Level: 6
- Route: Digital Apprenticeship Level: Degree
Working Arrangements
- Working Week: 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.
- Expected Duration: 3 Years
- Training Provider: UNIVERSITY OF HERTFORDSHIRE
Data Science & AI Degree Apprentice in Harlow employer: Auto Motor Excellence
AutoNet VIP is an exceptional employer that prioritises the growth and development of its apprentices in a supportive, family-run environment. Located in Harlow, Essex, the company offers a unique opportunity to work with cutting-edge technology in the electric and hybrid vehicle sector while pursuing a debt-free BSc (Hons) Data Science degree. With hands-on mentoring, modern facilities, and a commitment to digital innovation, AutoNet VIP fosters a collaborative work culture that encourages continuous learning and career progression.
StudySmarter Expert Advice🤫
We think this is how you could land Data Science & AI Degree Apprentice in Harlow
✨Get Involved in Data Science Meetups
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We think you need these skills to ace Data Science & AI Degree Apprentice in Harlow
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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Craft a Tailored Cover Letter:For a full-time role at Auto Motor Excellence, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Auto Motor Excellence. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Auto Motor Excellence
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
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Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Auto Motor Excellence!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
