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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.
Key Skills
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