Gaydon
Product Engineering at JLR is centred on innovation and creativity. From advanced driver assistance systems to developing the future of electric propulsion, the opportunities to create exceptional experiences for the future of motoring are wide-ranging. You'll work alongside industry experts to drive product strategy, manage programs, analyse performance, and lead transformation initiatives. Exceptional careers that bring world-renowned vehicles to life start here.
WHAT TO EXPECT
Push the boundaries as a Lead Data Scientist within JLR’s Body Chassis Engineering (BCE). The Data Analytics Chapter in BCE aims to empower engineers to make data-driven decisions by providing accessible, reliable data and delivering insightful analytics to squads across the organisation. The team develops methods and tools that leverage the data collected off Fleet and Customer vehicles, supporting improvements to Body/Chassis features and systems that will ensure an expectational experience for JLR’s customers.
In this role, you will play a key part in shaping the AI & Data Science capabilities of the team. You will use advanced techniques to generate insights into our systems and how customers operate their vehicles, across a variety of use cases. You’ll lead the development of new methods and tools, promote best practice techniques and continuous improvement, and work closely with the Chapter Lead to develop others.
Key Accountabilities and Responsibilities
Understand data requirements of stakeholders, including problem scoping Use statistical techniques to deliver robust and accurate results, considering variable data quality, and clearly communicate conclusions and insights to stakeholders Algorithm development and selection, as well as model training, evaluation and monitoring Ensure customer privacy is protected at every stage of data analysis Contribute to knowledge sharing and the continual improvement of the team’s technical capabilities, and collaborate with the wider JLR data community to ensure the team works with the latest technology, techniques and best practices
WHAT YOU’LL NEED
Extensive experience in ideating, leading, developing and deploying AI & data science solutions that have delivered tangible business value Strong math, statistics and probability skills, with a strong level of ability to structure, analyse and interpret data Competent with SQL and Python, and use of Jupyter Notebook environment (or similar) Strong understanding of machine learning techniques such as time series modelling, regression, classification, clustering and anomaly detection Capable of explaining data science concepts and results to non-technical business stakeholders and decision maker
Creating Modern Luxury requires a modern approach to work. At JLR, hybrid working is a voluntary, non-contractual arrangement providing employees more choice and flexibility around how, when and where they work. Some roles require more on-site work, but details of this can be discussed with the hiring manager during the interview stage.
We work hard to nurture a culture that is inclusive and welcoming to all. We understand candidates may require reasonable adjustments during the recruitment process. Please discuss these with your recruiter so we can accommodate your needs.
Applicants from all backgrounds are welcome. If you’re unsure that you meet the full criteria of a role – but you're interested in where it could take you – we still encourage you to apply. We believe in people's ability to grow and develop within their role – it’s what makes living the exceptional with soul possible.
JLR is committed to equal opportunity for all.
