At a Glance
- Tasks: Enhance global product movement efficiency using advanced modelling and machine learning.
- Company: Join ON.com, a leader in data-driven supply chain solutions.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Be part of a high-performing team dedicated to innovation and excellence.
- Why this job: Make a real impact on global supply chains with cutting-edge data science.
- Qualifications: 5+ years in data science, expertise in Python, SQL, and Time Series Models.
The predicted salary is between 60000 - 80000 € per year.
ON.com is looking for a Lead Data Scientist specialized in Supply Chain Forecasting to enhance global product movement efficiency. The role involves utilizing advanced modelling techniques to improve forecasting accuracy and deploying machine learning pipelines.
Candidates should have:
- 5+ years in data science
- Expertise in Python and SQL
- Experience with Time Series Foundation Models
A Master’s or Ph.D. in a quantitative field is also required. Join a high-performing team dedicated to leveraging data and AI for supply chain enhancements.
Lead Data Scientist: Global Supply Chain Forecasting in London employer: ON.com
At ON.com, we pride ourselves on being an exceptional employer that fosters a collaborative and innovative work culture. Our Lead Data Scientist role offers not only competitive benefits and opportunities for professional growth but also the chance to work alongside a talented team dedicated to transforming global supply chain efficiency through cutting-edge data science and AI. Located in a vibrant area, we provide a stimulating environment where your contributions will have a meaningful impact on our operations and the industry as a whole.
StudySmarter Expert Advice🤫
We think this is how you could land Lead Data Scientist: Global Supply Chain Forecasting in London
✨Tip Number 1
Network like a pro! Reach out to professionals in the supply chain and data science fields on LinkedIn. A friendly message can go a long way, and you never know who might have the inside scoop on job openings.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving forecasting and machine learning. 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 Time Series Foundation 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 some fantastic opportunities waiting for you, and applying directly can sometimes give you an edge over other candidates.
We think you need these skills to ace Lead Data Scientist: Global Supply Chain Forecasting in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience in data science, especially with Python, SQL, and Time Series Foundation Models. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects!
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 the perfect fit for our team. Let us know what excites you about working with data and AI.
Showcase Your Projects:If you've worked on any cool projects or have experience deploying machine learning pipelines, make sure to mention them! We love seeing practical applications of your skills, so include links to your work if possible.
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 follow the prompts!
How to prepare for a job interview at ON.com
✨Know Your Data Science Fundamentals
Brush up on your data science basics, especially around forecasting and machine learning. Be ready to discuss your experience with Python and SQL, as well as any specific projects where you’ve applied Time Series Foundation Models.
✨Showcase Your Problem-Solving Skills
Prepare to share examples of how you've tackled complex supply chain issues using data. Think about specific challenges you've faced and the modelling techniques you employed to overcome them. This will demonstrate your practical experience and analytical thinking.
✨Familiarise Yourself with ON.com’s Operations
Research ON.com and its supply chain processes. Understanding their business model and how data science can enhance their operations will show your genuine interest in the role and help you tailor your responses during the interview.
✨Prepare Questions for the Interviewers
Have a few insightful questions ready to ask your interviewers. This could be about their current data initiatives or how they envision the role of a Lead Data Scientist evolving within the company. It shows that you’re engaged and thinking critically about the position.
