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- Tasks: Join us as a Digital Business Data Analyst and support live projects using data analytics and AI.
- Company: Phillips 66, a leading energy company with over 65 years in the UK.
- Benefits: Competitive salary, free lunch, accommodation, gym access, and networking opportunities.
- Why this job: Gain hands-on experience in digital transformation and make a real impact on energy solutions.
- Qualifications: Studying Data, Computer Science, Engineering, or Mathematics with a passion for data analytics.
- Other info: Be part of a diverse team committed to innovation and sustainability.
The predicted salary is between 26000 - 29500 ÂŁ per year.
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 behaviours: 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. It is not just the excellent benefits package or the opportunities for personal growth; the caring and committed culture of the organisation 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.
What Phillips 66 can offer you
- Opportunity to get real industrial experience with responsibility and accountability.
- Ability to integrate and learn from experienced professionals.
- Opportunity to become part of our Early Careers Network and take part in fun, informative and social activities.
- Free daily lunch whilst working on site.
- Free accommodation for the first 6 weeks of your placement so you can get to know the area and other students.
- Free access to our onsite gym.
- Competitive salary ranging between £26,000 and £29,500 per annum pro‑rata dependent on level of study completed and degree.
Our Process
In order to be considered for this position you must complete the entire application process, which includes answering all pre‑screening questions and providing your eSignature on or before the requisition closing date of 26th October 2025.
Applications will be reviewed periodically throughout the advertising window. However, we may invite candidates who pass our screening process to selection events on a first‑come, first‑served basis and making offers of employment to people who are successful at those events, therefore we advise that you apply as soon as possible to avoid disappointment.
Our assessment days will be held at our Humber Refinery week commencing 17th November 2025 and may include an overnight stay and dinner with experienced engineers (reasonable travel expenses and overnight accommodation will be provided).
The Humber Refinery is playing its part of the UK’s decarbonisation efforts. As a part of the UK Government’s net zero ambition, the Humber Refinery is on a journey to become the Refinery of the Future. With proposed plans for a number of projects including implementing a first‑of‑a‑kind FCC carbon capture project, the Humber Refinery is part of Humber Zero, a world‑scale concept to reduce UK industry carbon emissions, saving up to 8 million tonnes of CO₂ by 2030 from the Immingham industrial area.
On top of this, the Humber Refinery is the UK’s only refiner producing Sustainable Aviation Fuel at scale. It is also the only European facility producing battery anode coke, which forms a critical component for lithium‑ion batteries used in electrical vehicles and in consumer electronics. Our current production of battery anode coke is equivalent to placing 1.3 million EVs on the road every year, and we are developing multiple projects to expand this capability.
We are on an exciting journey, are you ready to join us?
Learn more about Phillips 66 and how we are working to meet the world’s energy needs today and tomorrow, by visiting phillips66.com.
Phillips 66 is an Equal Opportunity Employer.
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Digital Business Data Analyst Industrial Placement employer: Phillips 66
Contact Detail:
Phillips 66 Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Digital Business Data Analyst Industrial Placement
✨Tip Number 1
Get your networking game on! Connect with professionals in the industry through LinkedIn or local events. We can’t stress enough how valuable personal connections can be when it comes to landing that dream placement.
✨Tip Number 2
Prepare for interviews like a pro! Research Phillips 66 and their projects, especially around digital transformation and AI. We want you to show off your knowledge and enthusiasm during those crucial conversations.
✨Tip Number 3
Practice makes perfect! Do mock interviews with friends or use online resources to get comfortable with common questions. We believe that the more you practice, the more confident you'll feel when it’s your turn to shine.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who take the initiative to engage directly with us.
We think you need these skills to ace Digital Business Data Analyst Industrial Placement
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Digital Business Data Analyst role. Highlight relevant skills like data analytics, problem-solving, and any experience with AI tools. We want to see how your background fits with our mission!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Share your passion for data and how it can fuel the future at Phillips 66. Let us know why you’re excited about this placement and what you can bring to the team.
Showcase Your Experience: If you've had previous work experience, especially in data or tech, make sure to highlight it! We love seeing how you've developed your skills in real-world settings, so don’t hold back on those examples.
Apply Early!: Don’t wait until the last minute to submit your application. We review applications on a rolling basis, so the sooner you apply through our website, the better your chances of getting noticed!
How to prepare for a job interview at Phillips 66
✨Know Your Stuff
Make sure you brush up on your knowledge of data analytics and the tools mentioned in the job description, like Microsoft Fabric and AI frameworks. Being able to discuss how you've used these tools or similar ones in your studies or previous experiences will show that you're not just a theoretical learner but someone who can apply their knowledge practically.
✨Show Your Passion for Data
During the interview, express your genuine interest in data analytics and its applications in industry. Share any projects or coursework where you've tackled real-life challenges using data. This will help demonstrate your analytical mindset and problem-solving skills, which are key for this role.
✨Communicate Clearly
Good communication is crucial, especially when working in multi-disciplinary teams. Practice explaining complex concepts in simple terms, as you might need to do this with colleagues from different backgrounds. Prepare examples of how you've effectively communicated in past group projects or presentations.
✨Be Ready to Discuss Teamwork
Phillips 66 values collaboration, so be prepared to talk about your experiences working in teams. Highlight specific instances where you contributed to a team's success, overcame challenges together, or learned from diverse perspectives. This will show that you align with their cultural mindset of working for the greater good.
