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- Tasks: Lead the design of advanced demand forecasting systems for a global supply chain.
- Company: Join a forward-thinking company revolutionising supply chain efficiency with data and AI.
- 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 while advancing your data science skills.
- 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) 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)
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those working in supply chain and data science. 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 past projects, especially those involving 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 forecasting models you've worked on. Confidence in your knowledge can really set you apart!
✨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 get noticed by the right people.
We think you need these skills to ace Staff Data Scientist (Supply Chain Forecasting) - Contract - Outside IR35 - Remote (UK)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Staff Data Scientist role. Highlight your experience in 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 and advanced modelling.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about data science and how you can contribute to our mission. Mention specific technologies like Python and SQL that you’re proficient in, as they’re key for this role.
Showcase Your Projects: If you've built any production ML systems or scalable forecasting models, make sure to showcase them. We love seeing real-world applications of your skills, so include links to your GitHub or any relevant portfolios if you have them!
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 updates. Plus, we love seeing candidates who take that extra step!
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!
✨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 quick 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 prepare some thoughtful questions about their 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.