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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: Enjoy remote work flexibility and competitive contract rates outside IR35.
- Other info: Work in a dynamic 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: Strong background in demand forecasting and experience with production ML systems.
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.
Responsibilities:
- Lead the design and build of advanced demand forecasting systems, from modelling through to deployment.
- Design and deliver scalable forecasting models for global supply chains.
- Apply advanced approaches including time series foundation models and hierarchical forecasting.
- Build end-to-end pipelines and production-ready ML systems.
Requirements:
- Strong background in demand forecasting within supply chain or retail.
- Proven experience building production ML systems end-to-end.
- Advanced Python and SQL skills.
- PhD in a quantitative field (e.g., Computer Science, Mathematics, Statistics) and stay at the forefront of AI research.
- Experience with Python, SQL, GCP, Vertex AI, Time Series models, LLM/agent workflows.
UK-based, remote with flexibility.
Staff Data Scientist (Supply Chain Forecasting) - Contract - Outside IR35 - Remote (UK) in Bolton 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 Bolton
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those working in supply chain and data science. Use platforms like LinkedIn to connect and engage with them; you never know who might have the inside scoop on job openings.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your past projects, especially those related to demand forecasting and ML systems. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your technical skills. Be ready to discuss your experience with Python, SQL, and any relevant forecasting models. Practice common data science interview questions to boost your confidence.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might just be the perfect fit for you. Plus, it’s a great way to ensure your application gets seen by the right people.
We think you need these skills to ace Staff Data Scientist (Supply Chain Forecasting) - Contract - Outside IR35 - Remote (UK) in Bolton
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Staff Data Scientist role. Highlight your experience with demand forecasting and any relevant projects you've worked on. We want to see how your skills align with our focus on supply chain efficiency!
Showcase Your Skills: Don’t just list your skills; demonstrate them! Include specific examples of how you've built production ML systems or used advanced Python and SQL in your previous roles. This helps us see your practical experience in action.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about data science in supply chains and how you can contribute to our mission. Keep it engaging and personal – we love to see your personality!
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss out on any important updates. Plus, it’s super easy!
How to prepare for a job interview at Oliver Bernard
✨Know Your Data Science Stuff
Make sure you brush up on your knowledge of demand forecasting and supply chain principles. Be ready to discuss your experience with advanced Python, SQL, and any relevant ML systems you've built. They’ll want to see that you can not only talk the talk but also walk the walk!
✨Showcase Your Problem-Solving Skills
Prepare to share specific examples of how you've tackled complex forecasting challenges in the past. Think about the end-to-end processes you've managed and be ready to explain your thought process. This will demonstrate your ability to lead the design and build of forecasting systems.
✨Familiarise Yourself with Their Tech Stack
Since they’re using GCP, Vertex AI, and time series models, it’s a good idea to get comfortable with these technologies. If you have experience with them, highlight it! If not, do a bit of research so you can speak intelligently about how you would approach using these tools.
✨Ask Insightful Questions
Interviews are a two-way street! Prepare some thoughtful questions about their current forecasting systems and how data science integrates with other teams. This shows your genuine interest in the role and helps you assess if the company is the right fit for you.