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- Tasks: Shape supply chain strategies using advanced analytics and collaborate with partners for impactful solutions.
- Company: Join Ocado Technology, a leader in innovative eCommerce solutions.
- Benefits: Enjoy remote work options, generous leave, and wellness support.
- Why this job: Make a real difference in supply chains while exploring cutting-edge technologies like AI.
- Qualifications: Experience in eCommerce and supply chain analytics, plus strong modelling skills.
- Other info: Dynamic role with mentorship opportunities and excellent career growth potential.
The predicted salary is between 36000 - 60000 £ per year.
The Supply Chain Scientist brings deep domain expertise in Supply Chain, combined with advanced analytics and modelling skills, to help shape and influence the development of the Ocado Smart Platform (OSP). This role is both strategic and hands-on: working across a range of stakeholders and often directly with Partners to understand their operations-through data, conversations, and collaboration with Partner Success teams.
The Scientist identifies opportunities to improve supply chains and product ranges, draws out key insights, and generalises learnings that can benefit all Partners. Responsibilities include:
- Strategic Contribution: Use domain knowledge and advanced analytics to influence the Supply Chain/Analytics & Insight product strategy and roadmap, ensuring data-driven decision support is embedded within key initiatives
- Analytical and Modeling Leadership: Design, develop, and implement modeling and optimisation techniques to address complex Supply Chain challenges, such as reducing supply chain costs, improving automated planning decisions, reducing substitution, optimising range, or minimising waste
- Prototype and Testing: Explore opportunities for new models and tools, building prototypes and estimating business benefits. Conduct testing and measure impact on KPIs to refine models for deployment
- Collaboration Across Teams: Work with Product Managers, Data Engineers, Data Scientists, and other stakeholders to integrate models and tools into OSP, ensuring user-friendly, scalable solutions for retail partners. Act as the representative of the broader Data Org within the Supply Chain Analytics & Insight Product Area
- Mentorship and Knowledge Sharing: Mentor and guide junior analysts, sharing insights from both a domain and analytical perspective to uplift the team\’s capabilities
- Explore AI for Supply Chain Decision-Making: Investigate and experiment with generative AI and other emerging technologies to enhance data-driven decision-making within the Supply Chain and Analytics domain
- Impact Measurement: Regularly assess the impact of deployed solutions, ensuring alignment with business objectives and optimising for long-term value
Required qualifications include:
- Proven experience and Subject Matter Expertise in eCommerce and Supply Chain (in Grocery business a definite plus)
- Advanced analytics and modelling experience
- Proven track record of informing business strategies and driving business change from actionable insight and data models or simulations
- Hands-on experience using SQL / BigQuery & Excel / Google Sheets
- Ability to translate an analysis or model into financial P&L impact to derive a business case
- Experience with BI tools such (Looker a plus)
- Able to plan complex work involving different crafts (e.g. Data Engineering, Data Science, Software Engineering) and different domains (e.g. Fulfilment, Ecommerce, Logistics)
- Confident in communicating and influencing technical as well as non-technical senior management and key stakeholders, adapting the \”data stories\” and style to the audience
- Experience in mentoring and coaching more junior data analysts
Desirable qualifications include:
- Curious to explore LLM use-cases to support decision making within Supply Chain / Analytics & Insight
- Experience with merchandising, fulfilment operations (customer fulfilment centres or store-based), Ecommerce or last mile home delivery operations
- Experience with Machine Learning
- Experience using Looker (building Explores and dashboards)
- Experience using Python (or other data oriented programming languages)
Ocado Technology offers a range of benefits, including:
- 30 days work from anywhere globally
- Remote working for the month of August
- Wellbeing support through Apps such as Unmind and an Employee Assistance Programme
- 25 days annual leave, rising to 27 days after 5 years service (plus optional holiday purchase)
- Pension scheme (various options available including employer contribution matching up to 7%)
- Private Medical Insurance
- 22 weeks paid maternity leave and 6 weeks paid paternity leave (once relevant service requirements complete)
- Train Ticket loan (interest-free)
- Cycle to Work Scheme
- Opportunity to participate in Share save and Buy as You Earn share schemes
- 15% discount on Ocado.com and free delivery for all employees
- Income Protection(can be up to 50% of salary for 3 years) and Life Assurance (3 x annual salary)
- Free Shuttle-bus to and from Hatfield train station
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Supply Chain Scientist employer: Ocado
Contact Detail:
Ocado Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Supply Chain Scientist
✨Tip Number 1
Network like a pro! Reach out to people in the supply chain and analytics space, especially those connected to Ocado. A friendly chat can lead to insider info about job openings or even a referral.
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your analytical projects or models you've developed. This will give you an edge during interviews and demonstrate your hands-on experience.
✨Tip Number 3
Practice makes perfect! Get comfortable with common interview questions related to supply chain challenges and analytics. Mock interviews with friends or mentors can help you nail your responses.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, it shows you're genuinely interested in joining the Ocado team.
We think you need these skills to ace Supply Chain Scientist
Some tips for your application 🫡
Show Your Expertise: Make sure to highlight your experience in eCommerce and Supply Chain, especially if you've worked in the grocery sector. We want to see how your skills can directly impact our operations and contribute to the Ocado Smart Platform.
Be Data-Driven: Since this role is all about advanced analytics and modelling, don’t shy away from showcasing your analytical skills. Use specific examples of how you've used data to drive business decisions or improve processes in your previous roles.
Tailor Your Application: Take the time to tailor your application to the job description. We love it when candidates connect their experiences to the responsibilities listed, like collaboration with teams or mentoring junior analysts. It shows you understand what we’re looking for!
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates from our team!
How to prepare for a job interview at Ocado
✨Know Your Supply Chain Inside Out
Make sure you brush up on your knowledge of supply chain processes, especially in the eCommerce and grocery sectors. Be ready to discuss specific challenges and opportunities you've encountered in previous roles, and how your analytical skills can address them.
✨Showcase Your Analytical Skills
Prepare to demonstrate your advanced analytics and modelling experience. Bring examples of how you've used SQL, BigQuery, or Excel to drive business change. If you have experience with BI tools like Looker, be sure to highlight that too!
✨Collaboration is Key
This role involves working with various teams, so be ready to talk about your experience collaborating with Product Managers, Data Engineers, and other stakeholders. Share examples of how you've successfully integrated models into existing systems and ensured user-friendly solutions.
✨Mentorship Matters
If you've mentored junior analysts before, share those experiences! Discuss how you've uplifted team capabilities and fostered a collaborative environment. This shows you're not just a technical expert but also a team player who values knowledge sharing.
