REQ ID: 114996
JOB TITLE: Analytics & Digital Data Scientist
SALARY: Competitive
POSTING END DATE: 14/07/2023
LOCATION: Gaydon
Beyond Property, Purchasing, HR and IT, more than being part of our Finance or Marketing teams, beyond even Sales and Service, every role in every business area offers unique opportunities to make an impact on the future of mobility and the automotive industry.
WHAT TO EXPECT
JLR are reimagining the future of modern luxury, delivering modern all-electric luxury brands backed by a sustainable supply chain. To do this, we are aiming to become a truly data-led company - and embedded digital skills are a critical enabler for JLRs ambitious Reimagine strategy.
Within JLR Supply Chain we are challenged to fundamentally transform the way we work to enable us to meet future sales volumes and customer delivery expectations in this unprecedented era of global supply chain disruption. We are compelled to streamline and digitise business processes and increase transparency and information-sharing across our end-to-end supply chain.
This role sits within the newly forming Supply Chain Analytics & Digital Team - an embedded cross-disciplinary group of highly technical data professionals who move fast using the latest technologies, sharing standards and best practices with our colleagues in the JLR central digital team, using this relationship to support talent development across the enterprise as part of the wider digital community.
In this delivery role, you\'ll be part of a fun, inclusive, learning, flexible, value focussed team backed by growing supply chain domain expertise and fearless in the face of a thorny technical problem or highly complex data sets. You will assist in the design and delivery of transformational Digital products that sit within the wider Supply Chain process.
You will use your mathematical skills and scientific approach to help with the formulation and implementation of the company\'s future Digital strategy for Planning, particularly in our use of Optimisation and forecasting models to guide our planning scenarios. You will use your technical knowledge to translate the business supply chain question into the correct mathematical formulation and technically implement it, assisting the business with interpreting and diagnosing the output and proactively suggesting improvements.
WHAT YOU\'LL NEED
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