Data Strategy & Insights: 1-Year Placement

targetjobs UK

Milton Keynes

On-site

GBP 22,000 - 30,000

Full time

33 hours ago
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Benefits offered by this job

Bonus scheme
Private healthcare
Pension scheme
On-site gym
Free daily food

Job summary

Red Bull Powertrains offers a year-long placement in our Data Strategy & Insights team. You will analyse Power Unit data to drive on-track performance and reliability, working with engineering and trackside colleagues to turn data into actionable insights.

The role is for passionate undergraduates with STEM backgrounds, proficiency in Python/SQL/MATLAB, and experience with Power BI or Tableau. You will gain exposure to the 2027 Formula 1 season and develop real-world analytics skills.

Qualifications

  • One year of undergraduate study in a STEM field (math, stats, data science, engineering, physics or related).
  • Solid understanding of statistical/analytical methods and their real-world application.

Responsibilities

  • Analyse large-scale Power Unit datasets to extract performance insights and detect anomalies.
  • Develop and apply statistical and machine learning models for reliability prediction and fault detection.
  • Build and maintain dashboards, reporting tools and automated analytics workflows.
  • Collaborate with engineering and trackside teams to deliver data-driven solutions.
  • Interpret and report data through clear visualisation and technical documentation.

Skills

Analytical thinking
Curiosity
Communication

Education

Undergraduate STEM degree (math/statistics/data science/engineering/physics)

Tools

Python
SQL
MATLAB
Power BI
Tableau

Job description

Red Bull Powertrains offers a year-long placement in our Data Strategy & Insights team. You will analyse Power Unit data to drive on-track performance and reliability, working with engineering and trackside colleagues to turn data into actionable insights.

The role is for passionate undergraduates with STEM backgrounds, proficiency in Python/SQL/MATLAB, and experience with Power BI or Tableau. You will gain exposure to the 2027 Formula 1 season and develop real-world analytics skills.

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