Principal Data Scientist

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Website mclarenapplied McLaren Applied

Highly innovative technology and engineering organisation.


The world around us is experiencing significant change, the greatest in generations.

At McLaren Applied, we’re accelerating the response to that change. Our vision is that our people and technologies will pioneer a better future.  Our mission is to achieve breakthroughs in performance.

We’re at the cutting edge of innovation in industries including automotive transportation and motorsport. We create solutions that drive efficiency and cost-effectiveness.

We want to help to reduce the carbon footprint and become more sustainable.  Our focus is on electrification and telemetry, control and analytics.

To deliver efficient lightweight electric powertrain and vehicle development; motorsport solutions that make series more sustainable and efficient; reliable connectivity solutions for transportation and insightful analytics and monitoring of transport fleets.

By applying our expertise, we deliver real benefits and pioneer a better future.

Purpose of the Role

As a technical leader of a cross-functional team, develop the data-driven algorithms and models that underpin our products and solutions.
Utilise our core platforms where appropriate and contribute ideas back for how those core platforms can be enhanced to support our teams.
Contribute to the enhancement of our Modelling and Decision Sciences capability through leading function-led activities.

Principal Accountabilities

Plan and lead the development of the data-driven algorithms and models that underpin our products and concepts, owning the development lifecycle through design, code, test and document.
Applies a range of known techniques to solve problems, educating others where needed, with sensitivity to the limitations of different approaches. Reviews usage of tools/methods with a view to improving processes.
Harvest reusable code/methods into easily accessible components for others to build on.
Leads the design and development of solution architectures in data science aspects.
Participate in Agile ceremonies within teams and contribute to the continuous improvement of the team.
Facilitate good working relationships between team members, including those in other disciplines. Participate in code reviews.
Monitors the external environment for trends in the field of data science, sharing knowledge within the function and contributing to tech radars.
Contributes towards risk management where applicable, and responsible for application of data handling/data lifecycle policies.
Provide technical input to pre-sales activities through cost and risk estimation, and demonstration of technical feasibility.
Responsible for presentation of work to external stakeholders, e.g. through reports, visualizations.
Drive the development of learning resources and knowledge management assets to ensure continuous improvement within the function.

Knowledge, Skills, Qualifications and Experience


BSc/MSc in a numerate discipline: Maths, Physics, Computer Science, Statistics, Engineering.
Proficiency in Python programming language.
Experience in solving business/engineering problems using data-driven modelling.
Demonstrable interest in a field of data science (e.g. machine learning).
Experience in leading a team of Data Scientists, possibly within a larger cross functional team.

Desirable (a selection of)

Working knowledge of object-oriented programming in Python.
Demonstrable technical specialism in one of the following: Machine Learning, Optimisation, Operations Research, Statistics, Engineering.
Experience working with streaming technologies, such as Kafka/MQTT.
Worked with others to deploy models into a production setting (e.g. AWS, Docker/Kubernetes).
Experience with tools to support the model development workflow (e.g. data provenance, experiment/pipeline management).
Experience in harvesting core methods into reusable components.
An understanding of white-box simulation methods.
Experience with signal processing and time-series analysis.
Developed ETL pipelines, worked with databases for ingestion and selection of data.

Our values






All employees must ensure compliance with the Company Health and Safety Policy, and all relevant other statutory Health and Safety legislation.


This job description may not detail all duties allocated to the post holder, nor cover duties of a similar nature which are commensurate with the role, which may from time to time be reasonably required by the relevant manager.


McLaren Applied are committed to Diversity, Equality and Inclusion (DEI) and promote DEI in all we do.


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Senior Recruitment Partner for Applied