AI & Data Insights Analyst Placement

Phillips 66; South Killingholme; On-site; GBP 26,000 - 32,000; Full time

Benefits offered by this job

Free daily lunch on site

Accommodation costs covered first 6 w'

Free onsite gym access

Competitive salary

Job summary

Phillips 66 invites applications for a Digital & AI Analyst Industrial Placement at the Humber Refinery in the UK. You will contribute to live projects using data, automation and AI to enhance refinery operations and safety.

The role involves learning from experienced engineers and analysts while developing practical digital solutions. We seek curious, analytical students with strong communication and teamwork skills who can apply technical knowledge to real-world challenges and grow within our

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.
• Have an interest in how data, automation and AI can be applied to real-world industrial challenges.
• Be interested in emerging AI approaches, including agentic AI, and in using AI responsibly.
• Ideally have gained experience through industrial summer placements, internships, part‑time employment or work experience.

Responsibilities

• Analysing operational data.
• Developing dashboards and digital workflows.
• Improving data quality and accessibility.
• Testing AI solutions and documenting results.
• Helping teams turn information into practical decisions.
• Identifying opportunities to improve safety, reliability and performance.

Skills

Data analysis

Analytical thinking

Communication

Team collaboration

Curiosity

Problem solving

Education

2:1 degree in Data Science

Related disciplines: Data Analytics/CS/Engineering/Math

Tools

Microsoft Fabric

Excel

PowerPoint

SQL

Python

APIs

Power Platform

Job description

Phillips 66 invites applications for a Digital & AI Analyst Industrial Placement at the Humber Refinery in the UK. You will contribute to live projects using data, automation and AI to enhance refinery operations and safety.

The role involves learning from experienced engineers and analysts while developing practical digital solutions. We seek curious, analytical students with strong communication and teamwork skills who can apply technical knowledge to real-world challenges and grow within our