AI Data Science Manager (Gaydon, GB)

REQ ID: 126992

JOB TITLE: AI Data Science Manager

SALARY: £80,000 - £95,000

POSTING START DATE: 08/01/2025

POSTING END DATE: 22/01/2025

LOCATION: Gaydon, Warwick, UK 

 

JLR’s Information and Digital Technology team is a place where you can unleash your technical ability. Whether expertly supporting applications, managing digital products, architecting solutions, or securing our platforms, you’ll work alongside other tech experts to shape our digital landscape and provide a stable platform for our operations. Stay at the forefront of innovation, and use cutting-edge technology to reimagine the future of modern luxury – be a proud creator of the exceptional.

 

WHAT TO EXPECT

 

Join JLR as an AI Data Science Manager and play a key role in advancing our AI and data science initiatives! You will be instrumental in orchestrating the design and development of innovative solutions that drive efficiency and deliver measurable financial value.

 

At JLR, we are committed to creating the world’s most desirable modern luxury vehicles, with AI and Data Science at the core of our transformation journey.

 

In this role, you will lead the execution of projects that align with our strategic goals, collaborating closely with various teams to identify new opportunities. You will provide expert guidance to stakeholders, manage diverse teams of data scientists, and ensure that our solutions maximize speed, scalability, and quality.

 

Key Accountabilities and Responsibilities

 

  • Collaborate with teams across the Information & Digital Technology organisation and the wider business to identify opportunities for innovation and improvement
  • Advise stakeholders on strategic decisions, including buy vs. make recommendations for technology solutions
  • Lead the design and development of in-house solutions, managing diverse teams of local and offshore JLR and third-party data scientists
  • Ensure that solutions leverage existing tools and reuse code, and components defined in the AI strategy to enhance speed, scalability, and quality
  • Manage a team of data scientists by providing guidance, training, and mentorship

 

WHAT YOU’LL NEED

 

  • Proven track record of successfully managing and delivering AI and Data Science projects that generate measurable financial value, demonstrating strong leadership and strategic oversight
  • Extensive experience in managing, mentoring, and developing high-performing teams of data scientists and technical professionals, including local and offshore members, fostering a culture of collaboration and innovation
  • Expertise in identifying AI and Data Science opportunities that align with business strategy, effectively developing their financial cases to secure stakeholder buy-in and support
  • Exceptional ability to engage with and advise stakeholders at all levels, building strong relationships while providing clear, actionable recommendations that drive decision-making
  • Proficient in programming languages such as Python and SQL, with hands-on experience utilising cloud platforms like GCP, AWS, and Azure to develop and deploy AI solutions

 

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.

 

 

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Organisation: 
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