Apprentice Data Scientist

6 days ago

London, United Kingdom Haystack Full time

We're working with BP on this opportunityApprenticeship – Digital (Data Science and Machine Learning) BP Energy – Sunbury-on-Thames • Remote or Hybrid £22,100 + £3,000 sign-on bonusBP 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 doWork 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 needAged 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.LocationBP Sunbury – International Centre for Business and Technology (ICBT), Chertsey Road, Sunbury-on-Thames.Programme start date7 September 2026Rewards and benefits£22,100 starting salary£3,000 sign-on bonusWellbeing allowance up to £1,500 per yearFlexible benefits allowance (20 percent of salary)Private medical insuranceAnnual discretionary bonusBP share plansHybrid working and early-career supportApply now via Haystack.

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