Scientific Software Development Engineer

2 days ago

London, Greater London, United Kingdom Data Science Talent Full time
Unlock the Secrets of F1 Racing with Data Science

As a Scientific Software Developer within the Data Science team at Data Science Talent, you'll play a pivotal role in enhancing car performance and speed by providing essential software engineering support focused on data applications and systems.

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 optimize 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.

Requirements
  • 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.
What You'll Gain
  • Be part of a world-class team where your contributions can drive tangible results seen by millions worldwide.

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