Race Engineering Placement: Data, Strategy & Performance

Alpine Formula One Team; Enstone; On-site; GBP 20,000 - 32,000; Full time

Benefits offered by this job

Private medical healthcare

On-site gym access

Fully catered restaurant with daily £1

Job summary

Alpine Formula One Team is offering a Race Engineering Student Placement at our Enstone facility for a 1-year period starting July 2027. You will be immersed in the heart of Alpine’s operation, supporting race ops, race engineering, strategy, and performance analysis on track.

You’ll collaborate with race and performance engineering groups, contribute to data-driven decisions, and help develop tools and processes for future use. Onsite assessment in September is required.

Qualifications

• Strong analytical and problem-solving skills.
• You are currently studying a degree in Mechanical, Automotive, Aerospace, Motorsport Engineering, Data Science or Analytics and looking for an industry placement as your penultimate year of university.
• You must have the right to work in the UK; sponsorship is not provided.
• Be available to attend onsite for an assessment centre in September.

Responsibilities

• Event preparation, collating relevant past data and pre-event simulation.
• Provide analysis during race weekends, both real-time in-session support and post-session analysis.
• Assist in post-event reporting ranging from strategy and pitstops to competitor analysis.
• Assist in developing current tools and processes, plus contribute to future tool ideas.

Skills

Analytical thinking

Problem solving

Education

Mechanical

Automotive

Aerospace

Motorsport Engineering

Data Science or Analytics

Tools

Excel

Python

MATLAB

Job description

Alpine Formula One Team is offering a Race Engineering Student Placement at our Enstone facility for a 1-year period starting July 2027. You will be immersed in the heart of Alpine’s operation, supporting race ops, race engineering, strategy, and performance analysis on track.

You’ll collaborate with race and performance engineering groups, contribute to data-driven decisions, and help develop tools and processes for future use. Onsite assessment in September is required.