Summer Internship - Digital - Data, AI & Engineering

Electronic, Data, Software, IT, Computing, AI.

About bp

bp operates at the heart of the global energy system, helping countries meet their energy needs and serving millions of customers every day. With world-class assets, technology, trading capability and partnerships, we deliver energy at scale today while investing with discipline in the energy transition.

Giant Fields
Almost 60% of the world’s oil reserves and resources come from giant oil fields and a small increase in recovery has a significant impact on production and reserves. Watch here to find out about our giant fields and what we are doing to maximise recovery from those fields.

Our internships

Make an impact on cutting-edge projects. Help find solutions to complex challenges. Be part of a company that invests in you and your growth. You can do it all as an intern at bp. Our 11-week summer programme gives you the opportunity to build your technical knowledge, develop key skills and learn more about life at bp.

You'll be part of one team throughout your internship, supported by a dedicated line manager and buddy. There’ll be opportunities to connect with other interns, take part in training and grow your network across the business.

Role and responsibilities

The digital disciplines are a logical grouping of digital capabilities that facilitate the development of skills and experience, career progression and digital talent in bp. Our digital disciplines are made up of specialist sub-disciplines which focus on aspects of our digital capability.

Digital Engineering

We have the deep technical expertise to plan, architect, build, engineer, operate, and maintain our digital estate. This includes:

  • Software Engineering
  • Enterprise Technology
  • Software development engineering in test
  • Architecture
  • Site reliability engineering

Data and AI

We build data products, derive actionable insights, build ML/AI applications using analytics, data science and AI. This includes:

  • Data engineering (architecture) & data management
  • Data science and machine learning engineering
  • Data analytics
  • AI Engineering

This role will be part of the Data & AI and Digital Engineering discipline and you will work alongside experienced professionals, you will contribute to the design, development, delivery, and support of digital solutions that create business value.

You may:

  • Design, build, automate, and maintain secure, reliable, and scalable cloud-based solutions using technologies across AWS and Azure.
  • Develop software applications, services, and APIs using modern programming languages.
  • Contribute to web and mobile application development using modern frameworks and development practices.
  • Support the implementation of engineering best practices, including agile delivery, automation, testing, observability, security, and reliability.
  • Collaborate with business subject matter experts, product teams, data engineers, data scientists, analysts, and platform engineers to solve complex business challenges.
  • Explore, prepare, analyse, and interpret data from a variety of sources to identify trends, opportunities, and actionable insights.
  • Contribute to the development of data products, analytics solutions, machine learning models, and AI-enabled applications that drive business outcomes.
  • Communicate technical findings and recommendations effectively to both technical and non-technical stakeholders.
  • Continuously learn and apply emerging technologies, engineering practices, and data and AI capabilities.

This role offers the opportunity to develop both technical and business capabilities while building a strong foundation across Digital Engineering and Data & AI disciplines.

Requirements

To apply for this role, you must be in your penultimate year of study (those going onto a Master’s and PhD students can apply), and be on track for a 2:1.

You are also expected to have strong spoken and written English language skills, including business and technical English. Language skills will be assessed throughout the recruitment process.

Please note: We value individuals who take initiative, are committed to excellence, and can adapt positively to change and challenges in a supportive environment.

Location

This role is likely to be based out of one the following UK offices:

  • Canary Wharf (bp, 25 North Colonnade, Canary Wharf, London, E14 5HZ)
  • St James’s Square* (bp, 1 St James's Square, London, SW1Y 4PD)
  • Sunbury* – ICBT (International Centre for Business & Technology), Chertsey Road, Sunbury on Thames, Middlesex, TW16 7LN

Start & end dates

Monday 21 June 2027 to Friday 3 September 2027

Please note: Our internships are full-time. If you will struggle to be available for these dates &/or may not be able to work full time, please flag this if you are invited to a technical interview, or earlier if possible.

Other information

Please note the following when applying:

  • You can only apply to one bp early careers opportunity globally per academic year – within this time, we will only process the first application you make. You will be withdrawn from any subsequent applications.
  • We recruit on a rolling basis – this means roles may close once positions are filled or we have enough applications. If you’re interested in a role, we strongly recommend applying as soon as possible while applications remain open.
  • Unless you apply to a role with a location explicitly stated, role locations are not guaranteed – where not stated, you will be placed in a location based on business need.
  • Accommodation – once confirmed, where you need or decide to move closer to your location, you are responsible for organising and funding this accommodation.
  • Hybrid working - please note, bp operates on a 60:40 hybrid working work policy (3 days in the office) for most office-based roles. This may vary for non-office-based roles.

Adjustments

We are keen to make our recruitment process accessible to all. If you require any adjustments/accommodations, to any stage of the recruitment process, please mention this in the allocated section on your initial application form. Someone will then be in touch to discuss or confirm the adjustments/accommodations as appropriate for you.

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Job ID Number: RQ117182
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Add to Shortlist
Shortlisted
  • Deadline
    January 29th, 2027
  • Starting
    21st June 2027
  • Hiring Multiple Candidates
    Yes
  • Salary
    £39,100 (pro rata) + benefits
  • Degree required
    2:1 and above (expected)
  • Duration
    11 weeks
  • Location
    London (Hybrid) and Sunbury, Middlesex (Hybrid)
Show location/s on map
Disciplines Accepted...
  • AI/Machine Learning
  • Computer Science
  • Data Science
  • Electronic/Electrical
  • Information Technology
  • Software/Systems
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