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- 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.
- 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.
- Other info: Remote or hybrid work options available, with excellent career growth potential.
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
Contact Detail:
Haystack Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Apprentice Data Scientist in Cambridge
✨Tip Number 1
Network like a pro! Reach out to current or former apprentices at BP or in the data science field. A quick chat can give us insider info and maybe even a referral!
✨Tip Number 2
Prepare for the coding assessment! Brush up on your coding skills and practice common data science problems. We can find resources online that mimic the types of challenges you might face.
✨Tip Number 3
Show off your passion for data! During interviews, share any personal projects or experiences that highlight your interest in data science and machine learning. It’s all about making us stand out!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, we can keep track of your progress and provide updates directly.
We think you need these skills to ace Apprentice Data Scientist in Cambridge
Some tips for your application 🫡
Show Your Passion for Data: When you're writing your application, let us see your enthusiasm for data science and machine learning. Share any projects or experiences that sparked your interest in this field – it’ll help us understand why you want to join our team!
Tailor Your CV: Make sure your CV is tailored to the role. Highlight relevant skills, like coding abilities and any coursework related to data science or maths. We want to see how your background fits with what we’re looking for!
Be Clear and Concise: Keep your application clear and to the point. Use straightforward language and avoid jargon. We appreciate a well-structured application that’s easy to read – it shows us you can communicate effectively!
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way to ensure your application gets to us directly. Plus, you’ll find all the info you need about the role and our company there!
How to prepare for a job interview at Haystack
✨Know Your Data Science Basics
Make sure you brush up on your data science fundamentals. Understand key concepts like machine learning algorithms, data analysis techniques, and coding languages relevant to the role. This will help you answer technical questions confidently.
✨Showcase Your Projects
If you've worked on any data-related projects, whether in school or on your own, be ready to discuss them. Highlight what you did, the challenges you faced, and the outcomes. This shows your practical experience and passion for the field.
✨Prepare Questions for Them
Interviews are a two-way street! Prepare thoughtful questions about the apprenticeship programme, team dynamics, and what a typical day looks like. This not only shows your interest but also helps you gauge if it's the right fit for you.
✨Practice Coding Challenges
Since coding ability is assessed during the process, practice common coding challenges that might come up. Websites like LeetCode or HackerRank can be great resources. Being comfortable with coding under pressure will give you an edge.
