Phillips 66 & YOU - Together we can fuel the future
Phillips 66 has been operating in the UK for over 65 years and we are as excited about our future as we are proud of our past. We are committed to improving lives, and that is our promise to our employees and communities. We are sustained by the backgrounds and experiences of our diverse teams, which reflect who we are, the environment we create and how we work together.
Our company is built on values of safety, honour and commitment. We call our cultural mindset Our Energy in Action, which we define through four simple, intuitive behaviors: We work for the greater good, create an environment of trust, seek different perspectives and achieve excellence.
Our employees are the heart of our success, and there is a reason why we continue to attract great talent and it's not just the excellent benefits package, or the opportunities for personal growth, it's also the caring and committed culture of the organisation that makes everyone feel like they can bring their authentic self to work and be truly part of our team.
Providing Energy. Improving Lives.
Digital Business Data Analyst Industrial Placement
If you want work experience that really counts, consider a Digital Business Data Analyst placement with Phillips 66. We are now looking for a student who is working towards a degree in Data, Computer Science, Engineering, Mathematics or a related discipline to join us for a one-year industrial placement in summer 2026.
You'll be at the heart of our digital transformation--supporting live projects that use data analytics, automation, and AI to improve how the refinery runs day to day.
Expect to work with tools like Microsoft Fabric, advanced data platforms, and AI frameworks. Your contributions will help automate processes, deploy AI safely and effectively, and generate insights that boost safety, reliability, and performance.
You'll also get hands-on with agentic AI, using it to enrich data, summarise information, and guide workflows. Along the way, you'll document real use cases and build practical experience. Working alongside skilled analysts and engineers, you will gain the kind of digital and data skills that are essential for a career in digital transformation.
Qualifications and Education
You are a motivated and proactive student who relishes a challenge, as well as having an interest in Data Analytics and its applications in industry.
Working towards a minimum 2:1 in Data, Computer Science, Engineering, Mathematics or a related discipline
You will have an awareness of AI tools such as Microsoft Copilot, ChatGPT or similar, and interest in agentic AI and responsible AI practices.
We really value previous work experience gained through industrial summer placements, internships, and work experience. Make sure you tell us about this if you have it, particularly where you have developed your team-working, organisation, and problem-solving skills.
What are we looking for?
Good communication skills (written and verbal)
Ability to apply technical knowledge to real-life challenges and create innovative solutions
Analytical mindset and logical approach to problem solving.
Ability to work in multi-disciplinary teams
Proficient knowledge of Microsoft Office applications.
Experience with SQL, Python, APIs, low-code automation, or basic data modelling (preferred).
Self-organising to meet deadlines and deliver on projects
Confidence to work on your own initiative
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