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- Tasks: Lead the design of advanced demand forecasting systems for a global supply chain.
- Company: Join a forward-thinking company investing in data and AI for supply chain efficiency.
- Benefits: Remote work flexibility and competitive contract terms outside IR35.
- Other info: Collaborative environment with opportunities to stay at the forefront of AI research.
- Why this job: Make a real impact on global supply chains using cutting-edge data science techniques.
- Qualifications: Master’s or Ph.D. in a quantitative field with strong Python and SQL skills.
The predicted salary is between 60000 - 80000 £ per year.
OB are currently partnered with a business operating a large-scale, global supply chain, investing in data and AI to improve how products move across regions. They’re focused on building forecasting systems that directly impact availability, efficiency, and cost. Data science sits at the core of decision making, with strong alignment across engineering, logistics, and commercial teams.
Role
Lead the design and build of advanced demand forecasting systems, from modelling through to deployment.
Responsibilities
- Design and deliver scalable forecasting models for global supply chains
- Apply advanced approaches including time series foundation models and hierarchical forecasting
- Solve cold start problems for new and seasonal products
- Build end-to-end pipelines and production-ready ML systems
- Partner with business teams to embed forecasts into operational workflows
Requirements
- Strong background in demand forecasting within supply chain or retail
- Proven experience building production ML systems end-to-end
- Advanced Python and SQL
- Experience with modern forecasting techniques beyond classical models
- Comfortable working in fast-paced, cross-functional environments
- You hold a Master’s or Ph.D. in a quantitative field (e.g., Computer Science, Mathematics, Statistics) and stay at the forefront of AI research.
Tech stack
- Python
- SQL
- GCP
- Vertex AI
- Time Series models
- LLM/agent workflows
Requirements / constraints
- UK-based, remote with flexibility
- Outside IR35
Interested to hear more? Apply below.
Staff Data Scientist (Supply Chain Forecasting) - Contract - Outside IR35 - Remote (UK) in City of London employer: Oliver Bernard
Contact Detail:
Oliver Bernard Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Staff Data Scientist (Supply Chain Forecasting) - Contract - Outside IR35 - Remote (UK) in City of London
✨Tip Number 1
Network like a pro! Reach out to your connections in the data science and supply chain fields. Attend virtual meetups or webinars to meet potential employers and get your name out there.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your forecasting models and ML systems. Use platforms like GitHub to share your projects, and don’t forget to highlight your experience with Python and SQL.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge. Be ready to discuss advanced forecasting techniques and how you’ve solved real-world problems in previous roles. Practice explaining complex concepts in simple terms.
✨Tip Number 4
Don’t just apply anywhere; apply through our website! We’re all about connecting talented individuals with exciting opportunities in data science. Keep an eye on our listings for roles that match your expertise.
We think you need these skills to ace Staff Data Scientist (Supply Chain Forecasting) - Contract - Outside IR35 - Remote (UK) in City of London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in demand forecasting and building production ML systems. We want to see how your skills align with the role, so don’t be shy about showcasing your Python and SQL expertise!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about supply chain forecasting and how your background makes you a perfect fit for our team. We love seeing enthusiasm and a personal touch.
Showcase Relevant Projects: If you've worked on any projects related to forecasting or supply chains, make sure to mention them! We’re keen to see examples of your work, especially if they involve advanced techniques or production-ready systems.
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 – just a few clicks and you’re done!
How to prepare for a job interview at Oliver Bernard
✨Know Your Forecasting Models
Make sure you brush up on the latest forecasting techniques, especially time series models and hierarchical forecasting. Be ready to discuss how you've applied these in past projects, as this will show your depth of knowledge and practical experience.
✨Showcase Your End-to-End ML Experience
Prepare to talk about your experience building production-ready ML systems from scratch. Highlight specific projects where you designed and delivered scalable forecasting models, and be ready to explain the challenges you faced and how you overcame them.
✨Understand the Business Impact
It's crucial to demonstrate how your work in data science can directly impact supply chain efficiency and cost. Think of examples where your forecasts have led to tangible improvements in operational workflows and be prepared to share these stories.
✨Be Ready for Technical Questions
Expect some technical questions around Python, SQL, and GCP. Brush up on your coding skills and be prepared to solve problems on the spot. Practising common data science interview questions can help you feel more confident during the technical portion of the interview.