Associate Engineer - Modelling and Decision Sciences

Location: Woking, GB

Associate – Modelling and Decision Sciences

McLaren Applied 

McLaren Applied works at the intersection of technology, data and human ingenuity to deliver quantifiable performance advantage to four key sectors undergoing large-scale disruptive change; Motorsport, Automotive, Public Transport and Human Performance. 

Our Team  

Our agile cross functional portfolio teams work collaboratively to solve interesting and challenging problems in industries we participate in.  

Typically, our teams comprise of Data Scientists and/or Simulation Engineers, Full Stack Software Engineers, Test Engineers, System Reliability Engineers (DevOps). And you’ll also have the opportunity to interact with the wider Engineering community. 

Why apply

As an Associate Applied Scientist who is passionate about technology, you will have the opportunity to get hands-on with modern software tools, to learn about developing analytical/modelling solutions and deploying them as part of our data-driven products.   

You will get to see how simulation and machine learning techniques can be combined, along with modern software tools, to solve complex engineering challenges. 

You will play a vital role as a user of our data management and analysis platform in different problem spaces. Our platform uses the latest streaming and cloud technology to turn high-rate telemetry data into valuable insights for our customers. 

Our teams are open, supportive environments for scientists and engineers to learn, develop and grow, and no doubt they will also be ready to learn from you!From white-boarding ideas with colleagues, data exploration, model development/validation and through to deployment, as an Associate Applied Scientist at McLaren, you be hands-on in each stage of the development lifecycle of your team’s solutions. 

Basic Skills and Qualifications  

  • Bachelor's degree in Maths, Physics, Engineering, Computer Science, similar technical field of study, or equivalent practical experience. 
  • Proficiency in one or more general purpose programming languages including but not limited to: Python, MATLAB/Simulink, R, C++.
  • Demonstrable interest in applying Simulation or Data Science to solve real-world problems.
  • Enthusiastic to learn new skills (other languages, techniques and domains) as opportunities arise.
  • Able to present complex concepts and ideas.

Personal attributes  

Passionate and curious about technology and displays a willingness to embrace and learn new technologies.  

Collaborative person who enjoys solving challenges as part of a team.

Start Dates available throughout 2020

The work environment 

You will be based at the McLaren office in centre of Woking (5 minutes’ walk from the train station). Some travel to the McLaren Technology Centre may be required. 

Our diversity commitment: equality, diversity and inclusion are part of who we are. We’re committed to equal opportunities and treatment regardless of age, ethnicity, gender, beliefs, sexual orientation or disability