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- Tasks: Lead a team of Data Scientists to solve complex logistics challenges using data science.
- 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 mentoring others.
- Other info: Flexible working patterns and a commitment to inclusivity and diversity.
The predicted salary is between 36000 - 60000 £ per year.
Data Science Manager – Logistics Operations
London, England, United Kingdom (Posted 19 hours ago)
About the role
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 among our Data Scientists so they can apply their skills to different business challenges and gain deeper 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.
We’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 in 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/mentoring others in technical approaches.
- Experience of partnering with technology teams to productionise developments and roll out at scale.
Whats in it for you?
We’re all about the little helps. That’s why we make sure our Tesco colleague benefits package takes care of you – both in and out of work. Click Hereto find out more!
- Annual bonus scheme of up to 20% of base salary
- Holiday starting at 25 constituted 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 Jay family, free access to a range of experts to support your mental wellbeing
About Us
Our 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.
_customercare@tesco.com
Beware of Recruitment Fraud
We never ask for money during our hiring process. Any request coque payment made in the name of Tesco is not legitimate signals. Please report suspicious activity to candidatecare@tesco.com
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Data Science Manager – Logistics Operations employer: Tesco
Contact Detail:
Tesco 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 Tesco employees on LinkedIn. Ask them about their experiences and any tips they might have for landing a role in data science. Personal connections can make a huge difference!
✨Tip Number 2
Prepare for the interview by brushing up on your technical skills. Be ready to discuss your experience with programming languages like Python or Java, and how you've applied data science to solve real-world problems. Show us your passion!
✨Tip Number 3
Don’t forget to showcase your leadership skills! Talk about times you’ve mentored others or led projects. Tesco values collaboration, so highlight how you can guide a team through complex challenges.
✨Tip Number 4
Finally, apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re genuinely interested in joining the Tesco family. Let’s get you that job!
We think you need these skills to ace Data Science Manager – Logistics Operations
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Science Manager role. Highlight your experience in logistics operations and any relevant technical skills. We want to see how your background aligns with our needs!
Showcase Your Projects: Include specific examples of data products you've developed or optimised. We love seeing real-world applications of your skills, so don’t hold back on sharing your successes!
Communicate Clearly: Remember, communication is key! When writing your application, explain complex ideas simply. We want to know how you can make data science accessible to everyone at Tesco.
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. We can’t wait to hear from you!
How to prepare for a job interview at Tesco
✨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 managing and mentoring a team, be prepared to share examples of how you've successfully led projects or coached others. Highlight your ability to influence stakeholders and make decisions that drive value.
✨Communicate Clearly
Practice explaining complex data science concepts in simple terms. You’ll need to engage with non-technical stakeholders, so think about how you can make your ideas accessible and relatable to everyone.
✨Demonstrate Your Passion for Impact
Express your enthusiasm for using data to make a difference. Share specific examples of how your work has improved customer experiences or business processes, and show that you're excited about the potential of data science at Tesco.
