At a Glance
- Tasks: Join BP as an Apprentice Data Scientist, working on real data and ML projects.
- Company: BP, a leading energy company, offering innovative digital opportunities.
- Benefits: Starting salary of £22,100 plus a £3,000 sign-on bonus and flexible benefits.
- Other info: Remote or hybrid work options available, with excellent career growth potential.
- Why this job: Kickstart your career in data science with hands-on experience and professional development.
- Qualifications: Aged 18+, A-levels or Level 3 qualification, and coding skills required.
The predicted salary is between 8000 - 10000 £ per month.
We are working with BP on this opportunity! Apprenticeship – Digital (Data Science and Machine Learning) BP Energy – Sunbury-on-Thames • Remote or Hybrid £22,100 + £3,000 sign-on bonus.
BP is hiring Level 4 Data Science and Machine Learning Apprentices to join its digital organisation. Over this two-year programme, you’ll work on real data and ML projects alongside engineers, analysts, and product teams while completing a Level 4 qualification (likely delivered by Corndel). This programme is ideal for school or college leavers, or individuals without a university degree looking to start a career in data and digital.
What you’ll do:
- Work in cross-disciplinary teams with data scientists, data engineers, software engineers, and business partners.
- Build scalable, reusable data science products using statistical and machine learning techniques.
- Perform data analysis to generate actionable insights.
- Learn best practices across design, code reviews, testing, monitoring, and documentation.
- Contribute to real projects across BP’s digital transformation initiatives.
- Receive structured professional development through the Elevate programme.
What you’ll need:
- Aged 18+ by September 2026.
- Completing A-levels or further education in 2026, or holding a relevant Level 3 qualification.
- Demonstrable coding ability (assessed during the process).
- A-level grade C or above in Computer Science/IT, Maths, or Physics.
- GCSEs (A*–C / 9–4) in English and Maths.
- Eligible under apprenticeship levy rules (e.g., UK/EEA residency for 3+ years, no higher-level qualification).
- Must not already hold a university degree.
Location: BP Sunbury – International Centre for Business and Technology (ICBT), Chertsey Road, Sunbury-on-Thames.
Programme start date: 7 September 2026.
Rewards and benefits:
- £22,100 starting salary
- £3,000 sign-on bonus
- Wellbeing allowance up to £1,500 per year
- Flexible benefits allowance (20 percent of salary)
- Private medical insurance
- Annual discretionary bonus
- BP share plans
- Hybrid working and early-career support
Apply now via Haystack.
Apprentice Data Scientist in Cambridge employer: Haystack
As a Data Management Team Leader, you will thrive in a dynamic hybrid work environment that champions innovation and collaboration. Our company offers a competitive salary, flexible annual leave, and continuous training opportunities, ensuring your professional growth is supported every step of the way. With a vibrant social calendar and a commitment to community engagement, you'll find a workplace that values both your contributions and well-being.
StudySmarter Expert Advice🤫
We think this is how you could land Apprentice Data Scientist in Cambridge
✨Get Involved in Data Science Communities
Dive into online forums like Kaggle or GitHub where data science enthusiasts hang out. Participating in competitions or contributing to open-source projects can really make you stand out and show off your skills!
✨Tap Into University Resources
Your uni career services are gold mines for apprenticeships! Attend any workshops or career fairs they host; you might just bump into employers looking to scout fresh talent for programmes like the one at Haystack.
✨Work on Real-World Data Projects
Create your own data science projects or collaborate with classmates on interesting datasets. This not only sharpens your skills but also gives you something to showcase during interviews, setting you apart from the competition.
✨Show Off Your Passion
Don’t just rely on formal applications! Write blog posts about your data science journey or share insights on social media. This can catch the eye of Haystack and show them you’re genuinely passionate about the field.
We think you need these skills to ace Apprentice Data Scientist in Cambridge
Some tips for your application 🫡
Show Off Your Relevant Skills:For a data science apprenticeship, make sure to highlight your skills in statistics, programming (especially Python or R), and data visualisation tools. Mention any relevant projects or coursework where you've applied these skills, even if it’s just in a school setting!
Tailor Your Motivation:In your cover letter, focus on why you want to dive into data science specifically. Share how this apprenticeship aligns with your career goals and learning aspirations. Remember, this is about showing us at Haystack that you're eager to learn and grow in the data field!
Portfolio Power!:Even if it's an apprenticeship, having a small portfolio of your data projects can set you apart. Include any analyses, visualisations, or data science-related tasks you’ve completed, whether on your own or as part of your studies. This shows that you've got hands-on experience, which is super appealing.
Keep It Relevant and Concise:Your CV should be focused and relevant – keep it to one page if possible! Tailor it for the data science role by including specific coursework, skills, and any experience with data handling. If you’ve done any data-related activities in clubs or competitions, throw those in too—every bit counts!
How to prepare for a job interview at Haystack
✨Brush Up on the Basics
Before your interview with Haystack, we need to nail down the fundamentals of statistics and machine learning. As an apprenticeship candidate, they’ll be keen on your understanding of key concepts—so make sure you can talk about linear regression, classification, and maybe even some hands-on work with tools like Python or R.
✨Showcase Your Projects
Bring any portfolios or projects you've worked on that highlight your data analysis skills. Even if they're for school or personal projects, being able to demonstrate how you approached a problem, analysed data, and derived insights will give you a leg up. Don't just talk about the data—show them what you've done with it!
✨Get Comfortable with Technical Questions
Expect some technical questions that test your problem-solving skills! You might be asked to explain how you would approach a specific dataset or solve a classic data challenge. Practise explaining your thought processes clearly, as this will showcase your analytical abilities as well as your ability to communicate complex ideas.
✨Emphasise Your Willingness to Learn
As an apprentice, your eagerness to learn is your biggest asset. Be prepared to discuss what you're looking to gain from the apprenticeship at Haystack. Whether it's mastering new programming tools or applying theoretical knowledge to real-life problems, let them know you're all about growing your skills and contributing to the team!
