Senior Data Scientist

1 month ago

Oxfordshire, United Kingdom Williams Grand Prix Technologies Full time

About the Company

Williams Grand Prix Technologies help solve our customers’ engineering challenges using world-leading capabilities in the areas of platform dynamics, advanced materials, simulation, testing, high performance computing, data analytics, artificial intelligence and machine learning. Operating across a wide spectrum of sectors, from aerospace and premium automotive to sport and lifestyle, we deliver a unique and world-class offering that draws on an unrivalled and trusted pedigree, earned at the forefront of motorsport engineering and diversified advanced engineering excellence.


Our team operates from our headquarters in Grove, UK. By combining exceptional talent with unique engineering assets, we tackle our clients’ most complex challenges with the agility and precision that our motorsport heritage demands.


Position Overview

We are looking for an experienced Senior Data Scientist to join our growing team. As a Senior Data Scientist, you will play a key role in driving data-driven decision-making, developing predictive and prescriptive analytics, and deriving actionable insights from complex data sets across a wide spectrum of sectors.


The ideal candidate has a strong foundation in statistics, machine learning, and data modelling, with the ability to transform raw data into strategic insights that shape the direction of our projects in sectors ranging from motorsports to aerospace.


Key Responsibilities

  • Analyse large, complex datasets to identify trends, patterns, and opportunities that inform business strategy and drive innovation in high-performance engineering applications.
  • Develop predictive models and statistical algorithms that help optimize operations in sectors such as motorsports, automotive, and defence.
  • Design experiments and create data-driven hypotheses to solve business problems, delivering insights that improve decision-making processes across the organization.
  • Work closely with cross-functional teams, including engineering, product development, and business leadership, to identify opportunities for leveraging data to generate impactful solutions.
  • Lead the development of dashboards and visualization tools to monitor and communicate the impact of data-driven initiatives to both technical and non-technical stakeholders.
  • Stay up-to-date with the latest trends in data science, machine learning, and AI to ensure we are leveraging cutting-edge techniques in our analytics projects.
  • Provide mentorship and technical guidance to junior data scientists and analysts on the team.


Preferred Candidate Profile:

  • Bachelor’s or Master’s degree in Data Science, Statistics, Computer Science, or a related field; PhD preferred.
  • 5+ years of experience in data science roles, with a proven track record of delivering impactful, data-driven insights and recommendations.
  • Expertise in statistical analysis, predictive modelling, machine learning, and data mining techniques.
  • Proficiency in programming languages such as Python and R, and experience with data manipulation using SQL or similar query languages.
  • Strong experience with data visualization tools (e.g., Tableau, Power BI, or similar) for creating insightful, clear, and actionable reports.
  • Hands-on experience working with large datasets, data wrangling, and developing data pipelines for analysis.
  • Excellent problem-solving skills, with the ability to communicate complex data insights to non-technical stakeholders.
  • A passion for using machine learning, particularly deep-learning and/or probabilistic methods, in scientific and engineering contexts.
  • Excellent collaboration and communication skills, with the ability to work effectively with internal teams and external clients.
  • Demonstrated experience in mentoring and coaching junior colleagues.
  • Applying software engineering principles and best practices for collaborative development (e.g., version control, testing, deployment).
  • Experience working with cloud platforms (e.g., AWS, Azure, GCP) and high-performance computing environments.
  • Understanding of big data ecosystems like Hadoop, Spark, Flink.
  • Proven ability to scope and deliver projects effectively.
  • Familiarity with industry standards, security protocols, and best practices.


Desirable Knowledge & Experience:

  • Experience in industries such as motorsports, automotive, aerospace, or defence, where high-stakes decisions rely on data-driven insights.
  • Knowledge of machine learning techniques for predictive maintenance, performance analysis, or operational optimization.
  • Experience with simulations involving FEA, CFD, vehicle dynamics, or electromechanical systems is advantageous but not required.
  • Familiarity with the Julia programming language is a plus but not essential.
  • Hands-on experience with A/B testing and experiment design.


Why Join Us?

Williams Grand Prix Technologies is based at the Williams Racing Campus in a multi acre complex located in Grove, Oxfordshire. The Williams Group offer a competitive holiday package, staff events/open days, a subsidised restaurant on site and various car schemes. We have an on-site gym (open 24 hours a day) as well as various fitness classes including outdoors bootcamps, pilates and yoga free for all staff and contractors to use. Aside from these benefits we can offer free onsite parking and large open green spaces to unwind during breaks. We are a based just 30 mins from Oxford City Centre by bus.


At Williams Grand Prix Technologies, you will be part of a pioneering team at the forefront of engineering innovation. You'll have the opportunity to work on exciting projects across various industries, making a global impact. We offer a collaborative and dynamic work environment where your skills and creativity will be valued and encouraged.


Williams is an equal opportunity employer that values diversity and inclusion. We are happy to discuss reasonable job adjustments.

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