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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) in Altrincham 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 Altrincham
✨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 get noticed by our team directly.
We think you need these skills to ace Staff Data Scientist (Supply Chain Forecasting) - Contract - Outside IR35 - Remote (UK) in Altrincham
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 and SQL align with what we're looking for, so don’t hold back!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Tell us why you're passionate about supply chain forecasting and how your background makes you the perfect fit for our team. Keep it engaging and relevant to the role.
Showcase Your Projects: If you've worked on any cool projects related to forecasting or data science, make sure to mention them! We love seeing real-world applications of your skills, especially if they involve advanced models or end-to-end pipelines.
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 this exciting opportunity. Don’t miss out!
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 and SQL, as well as any production 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 tackle some real-world scenarios during the interview. Think about how you would approach designing and building scalable forecasting models. Practise explaining your thought process clearly, as they’ll be looking for your ability to solve complex problems in a collaborative environment.
✨Familiarise Yourself with Their Tech Stack
Since this role involves GCP, Vertex AI, and time series models, it’s a good idea to get comfortable with these technologies. If you have experience with them, be ready to share specific examples of how you’ve used them in past projects. This will show that you’re not just a fit for the role, but also for their tech culture.
✨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 gauge if the company is the right fit for you.