Data Scientist - Operational Research

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Date: 18-Mar-2017

Location: Woking, GB

We take performance beyond what was thought possible, working with visionaries and leaders to move our world forwards faster.

McLaren Applied Technologies, part of the McLaren Technology Group, innovates using the skills, insights and experience gleaned from over 50 years of competition in the world’s most technologically demanding sport, to innovate in and also beyond motorsport. We seek to create meaningful, long-lasting performance gains that positively impact a variety of sectors and communities.

With a passion for performance excellence, we bring together a distinctive combination of technology, mindset and capabilities - including high performance design, analytics, simulation, sensing and control systems – to make innovation a reality for our partners.

Our people are dynamic with excellent technical and commercial skills. We partner with world leading businesses across many sectors; what unites us is a desire to prevail in whatever we do. Together we strive to be the best or to go beyond what was considered to be the limit of performance.

 

Data Scientists at McLaren Applied Technologies solve problems using innovative cutting-edge techniques. We need engineers who are passionate about technology to join our team and help us to design and develop analytical solutions, tools and technologies in order to support execution of McLaren's Analytics strategy. Your technical expertise will help us design, develop, test, deploy and present analytical solutions to complex industrial problems. You could be exploring and visualizing a complex data set in MATLAB, Python or R; building a data-driven model using machine learning; modelling uncertainty in a process using Bayesian techniques; or collaborating with our software engineers to deliver scalable analytical solutions.
 

  • Solves complex analytical problems using existing modelling and optimization techniques in a fresh way.
  • Identifies and develops reusable components to solutions, including documentation and appropriate levels of testing of code.
  • Is aware of choosing the 'right tool for the job', including commercial considerations such as expected deliverable and software licensing.
  • Researches existing Operational Research techniques to understand the technical landscape and reduce development time.
  • Actively contributes to improving quality and processes through team activities such as project estimation, code reviews and retrospectives.
  • Provides technical input into project-planning activities, in particular contributing to project estimations.
  • Liaises with project managers to update on progress and flag up project risks where appropriate.
  • Helps to define success criteria for projects.
  • Presents work both internally and externally in a concise, contemporary way. This includes reporting on the end of projects, creating demonstrators for internal/external use, and efficiently presenting progress updates to customers using technology such as notebook and hosted applications.
  • Actively researches emerging industry trends and open-source technologies, and communicates to the team.
  • BSc in mathematics, computer science, statistics, operations research, or other relevant numerate discipline.
  • Experience in solving complex process modelling problems using tools such as MATLAB, AnyLogic, R or Python.
  • A keen interest in a specific area of systems modelling (e.g. discrete-event simulation).
  • MSc or PhD in operational research.
  • Experience in combining modelling and data-driven techniques, for example statistical parameter estimation to complement process models.
  • Experience of developing models to solve problems in the healthcare or transport industries.

 

 

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