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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, competitive pay, and the chance to work with cutting-edge technology.
- Other info: Work in a dynamic environment with opportunities for professional growth.
- Why this job: Make a real impact on global supply chains while advancing your data science skills.
- Qualifications: Experience in demand forecasting and building production ML systems is essential.
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 Bury 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 Bury
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or at meetups. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data science projects, especially those related to supply chain forecasting. This gives potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on your technical skills and understanding the latest trends in AI and data science. We want you to be ready to impress with your knowledge!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive!
We think you need these skills to ace Staff Data Scientist (Supply Chain Forecasting) - Contract - Outside IR35 - Remote (UK) in Bury
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 in Python, SQL, and data science can directly contribute to our supply chain projects.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're passionate about data science and how you can help improve our global supply chain. Share specific examples of your past work that align with the role, especially around forecasting models.
Showcase Your Technical Skills: Don’t forget to mention your expertise in GCP, Vertex AI, and time series models. We’re looking for someone who can hit the ground running, so make sure we know what tools you’re comfortable with!
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any important updates from us!
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 is your chance to shine a light on your analytical skills and creativity!
✨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, great! If not, do some research so you can speak intelligently about how you would approach using these tools in your role.
✨Ask Insightful Questions
Interviews are a two-way street, so come prepared with questions that show your interest in their operations and future projects. Ask about their current forecasting challenges or how they envision the role evolving. This not only demonstrates your enthusiasm but also helps you gauge if the company is the right fit for you.