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Scientific Software Developer

3 months ago

United Kingdom Data Science Talent Full time

Scientific Software Developer - F1 Motorsport

Location: South East England

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2.62 seconds. That's how long it takes to service an entire F1 racing car at a pit stop.

2 weeks. That's how quickly your contributions can make a visible impact on the track.

Join one of the world's leading Formula 1 teams, where every role plays a pivotal part in enhancing car performance and speed. Here, the collective effort truly outpaces the sum of its parts.

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The Role

As a Scientific Software Developer within the Data Science team, you'll provide essential software engineering support focused on data applications and systems. Your work will involve:

  • Engaging with Data: Handle data from advanced aerodynamic testing environments, including wind tunnels, computational fluid dynamics, and on-track testing. Collaborate with the Vehicle Performance Group (VPG) to delve into data from race tracks and simulation settings.

  • Software Development: Design, develop, and optimise software applications and tools tailored to the needs of their data pipelines.

  • Algorithm Creation: Develop algorithms that transform raw data into actionable insights, directly influencing data-driven decisions.

  • Coding Excellence: Oversee and enforce coding standards and best practices within the data science group to ensure high-quality, maintainable code.

  • Collaborative Problem-Solving: Work closely with data scientists, engineers, and stakeholders to understand requirements and translate them into effective software solutions.

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Your Profile

  • Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related field. Advanced degrees or coursework in a scientific discipline are advantageous.

  • Proven experience in software development within data-intensive environments.

  • Proficiency in Python and its scientific computing libraries (NumPy, SciPy, pandas, scikit-learn) is essential.

  • Experience in creating algorithms to derive insights from data and developing robust data pipelines for efficient processing, storage, and retrieval.

  • Adept at quickly understanding and addressing software or computer science challenges, grasping underlying mechanics to create effective solutions.

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Apply Now

Be part of a world-class team where your contributions can drive tangible results seen by millions worldwide. To explore this opportunity further and learn about the rewards on offer, click the 'Easy Apply' button.