Data Science Engineer

The battery team is one of the fastest growing teams in the JLR business with main focus to respond to the increasing mix of BEV vehicles in our cycle plan. We are looking for Data Science Engineers to be based in the Battery Systems Advanced Concepts & Research Pillar, who will be reporting to the Pillar Head. The Data Science Chapter will be responsible for implementing Data Science solutions to meet component functional targets., As a Data Science Engineer, you will develop the Data Science part of the BEV battery technology roadmaps to support JLRs electrification transition.

• Develop and consolidate data models based on benchmark testing from device to vehicle level, enhancing our understanding of competitors and the current/latest technology landscape.


• Work alongside our materials science and engineering operations teams to ensure they have the right data at their fingertips to enable then to execute the technology roadmap.


• Work alongside key business stakeholders to ensure we meet our vehicle product needs.


• Support the development of a technology roadmap that takes us to the next generation of battery technologies such as solid state and Data Science-to-car / module-to-car concepts.
  
  As well as having a passion for our world class products, you will possess the following skills and experience:



• Experience of the multi-physics nature of Data Science within engineering and materials science research and development settings.


• Experience of applying Data Science within the battery manufacturing industry along with knowledge of the BEV Data Science and battery landscape across the worldwide supply base or other OEM manufacturers to allow credible and competitive concepts and strategies to be followed.


• Experience manipulating and transforming electrochemical data from batteries cyclers into standard visualisations and outputs, e.g, HPPC, GITT, charge/discharge curves, EIS data.


• Experience in end-to-end machine learning model development for predictive modelling with machine learning algorithms such as Neural networks, Random Forrest, k-nearest neighbour.


• Proficiency in python and experience of working in cloud environment such as AWS or Azure along with knowledge of GIT and SQL
  
  Bring all this to the home of premium innovation, and you'll find the opportunities to further your career with a world-class team, a discounted car purchase and lease scheme for you and your family, membership of a competitive pension plan and performance related bonus scheme. All this and more makes JLR the perfect place to continue your journey.


This role may offer the opportunity for hybrid working where you can split your time between working from home and in the office. At JLR, hybrid working is a voluntary, non-contractual arrangement providing employees with more choice and flexibility around how, when and where they work, if suitable for their role. Further details can be discussed with the Hiring Manager at interview stage.

JLR is committed to equal opportunity for all.