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Website McLaren Racing

Formula 1 Team

At McLaren Racing, we believe only by chasing performance in everything we do can we give ourselves the best chance of success. Performance on track and in the factory. Performance for our people, our business and our partners. It’s about more than winning. It’s about hitting the highest standards, and then raising the bar again.

 

Purpose of the Role: 

The purpose of this role is to use approaches and techniques from the field of Data Science to unlock new insights from our data, improve our effectiveness in car development and, ultimately, drive our performance forward on track.

 

Role Context:  

This role lies within the Data Science team, which is part of the Software & Data Science department.  This team is responsible for all data science, AI, and machine learning tools and techniques across the whole of F1. This means working with all modes of data, for example: tabular, time series, images, video, text, and audio. The team works with stakeholders from across Racing to understand and exploit opportunities.

 

Role Description:

As a Senior Associate, Data Science you will build on your experience and knowledge of data science, machine learning, and modelling processes to develop innovative, data-driven solutions to technical challenges alongside senior members of the team. This will involve exploring complex datasets, developing models and processing algorithms, evaluating their success, and creating deployment pipelines.

You will work on projects through all stages of the development life cycle from initial analysis and requirements gathering through to deployment and operational support. Your work will be a mixture of longer-term development projects and operational support of tools already in production. You will work in close cooperation and co-development with the other members of the team, as well as stakeholders across Engineering. Hence, you should be comfortable both working on a project by yourself and jointly with others.

You need a keen desire to continue learning data science theory and best practices, following the department’s guiding principles, and a passion to use your skills to make the car faster.

 

The flexibility to work out of office hours and at weekends, as the needs of a racing team require, may be needed.

 

Principal Accountabilities:

  • Understand and use provided project architectures and specifications to create robust, scalable and testable software and data science solutions.
  • Understand and use provided data science, modeling, and optimisation techniques to implement analytical solutions to complex engineering problems.
  • Recognise and analyse technical challenges, overcoming them with the support of the team.
  • Work towards an understanding of the processes and goals underlying the various technical areas you work alongside.
  • Learn and maintain consistent standards and approaches adopted by the team.
  • Develop an understanding of work timescales and ensure project leads are well informed of your progress.
  • Understand the priorities of various projects and learn to manage your workload efficiently.
  • Understand project risks when they are outlined to you and take steps to mitigate them.

 

Job requirements

 

Knowledge, Skills and Experience:  

Essential 

  • Strong academic background with undergraduate degree in relevant discipline or equivalent industry experience.
  • Knowledge of standard data science algorithms and techniques in regression and classification.
  • Previous experience with software and data analysis in a technical environment.
  • Competent with Python programming.
  • Able to discuss the latest data science concepts with the team based on an academic research paper.
  • Experience with standard data exploration techniques to understand underlying behaviour.
  • Effective communication, both written and verbal .

 

Desirable  

  • Knowledgeable of Python data science packages, including sklearn and PyTorch/Keras/TensorFlow.
  • Experience in the analysis of complex data sets to understand underlying behaviour .
  • Familiarity with object-oriented programming and development of large software projects.
  • Experience with MLOps, development and production pipelines and deployment frameworks.
  • Previous use of Docker and Kubernetes would be an advantage.
  • Some knowledge of web development techniques or of dashboarding libraries such as Streamlit.
  • Basic knowledge of vehicle dynamics / aerodynamics and the development processes employed within F1.

 

Personal Attributes: 

  • Enthusiasm for engineering and science .
  • Ability to work to tight deadlines
  • Open mindedness to ensure high flexibility and the capacity to manage rapid and profound changes of scopes, development directions and processes

 

What can McLaren offer?

We constantly strive to be better tomorrow than we are today. Our ambition is to be the most pioneering and exhilarating racing team in the world, and our collective task is to set the standards for high performance in sport. We show up every day with energy and enthusiasm, ready to play our part.

We encourage and support diversity, equity and inclusion. We will actively promote a culture that values difference and eliminates discrimination in our workplace.

McLaren Racing is based at the iconic McLaren Technology Centre (MTC) near Woking. Our state of the art, sustainable campus offers many facilities including a gym, restaurant and indoor and outdoor break-out areas, as well as direct access to park and common land. The MTC is connected to Woking mainline station via regular fully-electric shuttle buses, from which London Waterloo is a 30 minute train ride.

Hybrid working patterns give you options to balance your home life and outside interests with your work. We offer a comprehensive package of benefits including private healthcare, car schemes, life insurance and generous pension contributions.

To apply for this job please visit racingcareers.mclaren.com.