At a Glance
- Tasks: Lead a team of Data Scientists to solve complex logistics challenges using data.
- Company: Join Tesco, a leading retailer focused on innovation and customer satisfaction.
- Benefits: Enjoy competitive salary, annual bonus, generous holiday, and private medical insurance.
- Why this job: Make a real impact by transforming data into actionable insights for a better customer experience.
- Qualifications: Expertise in Data Science, programming skills, and experience in logistics required.
- Other info: Flexible working patterns and a commitment to inclusivity and diversity.
The predicted salary is between 36000 - 60000 £ per year.
Here at Tesco we focus on solving complex business problems and developing data products that can be deployed at scale to our customers. Our work spans across multiple areas including Stores, Online, Fulfilment, Marketing and Clubcard and we encourage rotation amongst our Data Scientists so they can apply their skills to different business challenges and gain deeper levels of subject matter expertise.
Our core work involves developing data products that can be deployed at scale both internally and externally. On any day you could be supporting the automation of decision‐making across the business, optimising processes for key business objectives, or conducting deep‐dive exploratory analysis to inform strategic decision‐making.
About the roleWe\’re looking for someone who\’s passionate about data science and excited to make a real impact across our business. In this role, you\’ll take ownership of your technical domain and lead meaningful engagements with teams across the company, helping them unlock the power of data.
You\’ll be guiding and supporting a talented group of Data Scientists—managing, mentoring, and coaching them as they tackle complex optimisation challenges. Your leadership will help shape the strategic direction of the team, balancing competing priorities and making thoughtful decisions that drive value.
You\’ll be the kind of person who thrives on turning ambiguity into clarity—translating business challenges into data science problems and practical applications. You\’ll work closely with your team throughout the entire project lifecycle, from initial exploration to production‐ready data products, always keeping an eye on the impact and effectiveness of what you build.
Communication is key in this role. You\’ll be comfortable explaining complex ideas in a way that\’s clear and engaging to those without a technical background, helping others see the possibilities that data can unlock.
You\’ll also be building mathematical models on top of big data architectures, uncovering insights that improve both the customer experience and our business. And beyond your day‐to‐day work, you\’ll be a champion for data science—sharing your knowledge within Tesco and representing us proudly in the wider data science community.
You will need
Specialist knowledge of a technical Data Science domain, preferably in Operations Research and Simulations, or other domains such as Machine Learning, Deep Learning, Forecasting, NLP, Statistics.
Experience with different programming languages and a high level of capability of at least one language – Java, Python, Scala, Go (or similar).
Ability to influence senior stakeholders on technical topics.
Experience of leading highly technical Data Science developments involving multiple stakeholders in the area of logistics.
Experience of coaching and mentoring others in technical approaches.
Experience of partnering with technology teams to productionise developments and roll out at scale.
Whats in it for you?
Annual bonus scheme of up to 20% of base salary.
Holiday starting at 25 days plus a personal day (plus Bank holidays).
Private medical insurance.
26 weeks maternity and adoption leave (after 1 year\’s service) at full pay, followed by 13 weeks of Statutory Maternity Pay or Statutory Adoption Pay, we also offer 4 weeks fully paid paternity leave.
Free 24/7 virtual GP service, Employee Assistance Programme (EAP) for you and your family, free access to a range of experts to support your mental wellbeing.
About UsOur vision at Tesco is to become every customer\’s favourite way to shop, whether they are at home or out on the move. Our core purpose is \’Serving our customers, communities and planet a little better every day\’. Serving means more than a transactional relationship with our customers. It means acting as a responsible and sustainable business for all stakeholders, for the communities we are part of and for the planet.
We are proud to have an inclusive culture at Tesco where everyone truly feels able to be themselves. At Tesco, we not only celebrate diversity, but recognise the value and opportunity it brings. We\’re committed to creating a workplace where differences are valued, and make sure that all colleagues are given the same opportunities. We\’re proud to have been accredited Disability Confident Leader and we\’re committed to providing a fully inclusive and accessible recruitment process. For further information on the accessibility support we can offer, please click here.
We\’re a big business and we can offer a range of diverse full‐time & part‐time working patterns across our many business areas, which means that we can find something that works for you. We work in a more blended pattern – combining office and remote working. Our offices will continue to be where we connect, collaborate and innovate. If you are applying internally, please speak to the Hiring Manager about how this can work for you – Everyone is welcome at Tesco.
Beware of Recruitment FraudWe never ask for money during our hiring process. Any request for payment made in the name of Tesco is not legitimate. Please report suspicious activity to candidatecare@tesco.com.
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Data Science Manager – Logistics Operations employer: Tesco Technology
Contact Detail:
Tesco Technology Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Science Manager – Logistics Operations
✨Tip Number 1
Network like a pro! Reach out to current or former employees at Tesco on LinkedIn. Ask them about their experiences and any tips they might have for your application process. Personal connections can give you insights that you won't find in the job description.
✨Tip Number 2
Prepare for the interview by brushing up on your technical skills. Since this role involves complex data science problems, be ready to discuss your experience with programming languages like Python or Java. Practise explaining your past projects in a way that even non-tech folks can understand.
✨Tip Number 3
Showcase your leadership skills! Think of examples where you've mentored others or led a project. Tesco values collaboration, so highlight how you can guide a team through challenges and drive value together.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you're genuinely interested in being part of the Tesco family. Good luck!
We think you need these skills to ace Data Science Manager – Logistics Operations
Some tips for your application 🫡
Show Your Passion for Data: When writing your application, let us see your enthusiasm for data science! Share specific examples of how you've tackled complex problems in the past and how you can bring that experience to Tesco.
Tailor Your Application: Make sure to customise your application to highlight your relevant skills and experiences. We want to see how your background in operations research or machine learning aligns with our needs in logistics operations.
Be Clear and Concise: Communicate your ideas clearly, especially when discussing technical topics. Remember, we need to convey complex concepts to non-technical stakeholders, so practice making your points straightforward and easy to understand.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy!
How to prepare for a job interview at Tesco Technology
✨Know Your Data Science Stuff
Make sure you brush up on your technical knowledge, especially in Operations Research and Simulations. Be ready to discuss your experience with programming languages like Python or Java, and how you've applied them to solve real-world logistics problems.
✨Showcase Your Leadership Skills
Since this role involves mentoring and guiding a team, be prepared to share examples of how you've successfully led projects or coached others. Highlight your ability to balance competing priorities and drive value within a team setting.
✨Communicate Clearly
Practice explaining complex data science concepts in simple terms. You’ll need to communicate effectively with non-technical stakeholders, so think about how you can make your ideas accessible and engaging for everyone.
✨Prepare for Scenario Questions
Expect questions that ask you to turn ambiguity into clarity. Think of examples where you've tackled complex optimisation challenges and how you approached them from exploration to production-ready solutions. This will show your problem-solving skills and strategic thinking.