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
Be at the forefront of innovation within our Data Analytics Chapter as we aim 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 work with engineering teams in Body Chassis Engineering to understand their key questions and identify problem statements that could be solved using advanced analytics, machine learning, or the automation of processes. You will identify, analyse and interpret trends in complex data sets and utilise modelling techniques, to generate insights into our systems and how customers operate their vehicles.
Key Accountabilities and Responsibilties
Understand data requirements of stakeholders, including problem-scoping Use statistical techniques to deliver robust and accurate results, considering variable data quality, and communicate conclusions and insights to stakeholders Create data visualisations and dashboards utilising tools such as Tableau 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 Data Engineering, Analysis, or Science and/or within an Engineering field, particularly Automotive Practical application of SQL or Python, with knowledge of cloud computing platforms such as GCP or AWS Excellent level of ability to structure, analyse and interpret data Good understanding of data visualisation principles, with experience in using tools such as Tableau, Looker, Power BI, etc. Understanding of advanced analytics techniques (statistical analysis/modelling, experiment design, optimisation)
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.
