Digital & AI Analyst Internship – Data-Driven Ops

Phillips 66 Company

South Killingholme

On-site

GBP 26,000 - 32,000

Full time

3 days ago
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Benefits offered by this job

Free daily lunch on site
Accommodation costs covered for first
Free onsite gym access

Job summary

Phillips 66 is offering a one-year Digital & AI Analyst placement in the UK for summer 2027. You will join a team working on data-driven projects to improve refinery operations, analytics dashboards and AI-enabled workflows.

The role targets students in data science, analytics, CS, engineering or math, with a curious, analytical mindset and willingness to learn. You will gain exposure to platforms like Microsoft Fabric and AI technologies while collaborating with experienced engineers and

Qualifications

  • Be studying towards, or expect to achieve, a minimum 2:1 degree in Data Science, Data Analytics, Computer Science, Engineering, Mathematics or a related discipline.
  • Interest in applying data, automation and AI to real-world industrial challenges.
  • Interest in emerging AI approaches, including agentic AI, and using AI responsibly.
  • Industrial placements or internships with teamwork, organisation and problem-solving are welcome.

Responsibilities

  • Analyse operational data to derive insights and inform decisions.
  • Develop dashboards and digital workflows for refinery operations.
  • Improve data quality and accessibility across platforms.
  • Test AI solutions and document results.
  • Help teams turn information into actionable business decisions.
  • Identify opportunities to improve safety, reliability and performance.

Skills

Data Science
Data Analytics
Computer Science
Engineering
Mathematics
Analytical thinking
Problem solving
Excel
PowerPoint
SQL
Python
APIs
Power Platform
Microsoft Fabric
AI tools

Education

2:1 degree in Data Science/Data Analytics/CS/Engineering/Mathematics

Tools

Microsoft Fabric
Power Platform
Excel
Python
SQL
APIs

Job description

Phillips 66 is offering a one-year Digital & AI Analyst placement in the UK for summer 2027. You will join a team working on data-driven projects to improve refinery operations, analytics dashboards and AI-enabled workflows.

The role targets students in data science, analytics, CS, engineering or math, with a curious, analytical mindset and willingness to learn. You will gain exposure to platforms like Microsoft Fabric and AI technologies while collaborating with experienced engineers and

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