At a Glance
- Tasks: Lead projects and develop optimisation solutions for a global supply chain.
- Company: Join ON.com, a leader in innovative supply chain solutions.
- Benefits: Attractive salary, flexible working options, and opportunities for mentorship.
- Other info: Dynamic team environment with strong career advancement potential.
- Why this job: Make a significant impact on global supply chain efficiency and innovation.
- Qualifications: 8+ years in data science with expertise in Python, SQL, and machine learning.
The predicted salary is between 80000 - 120000 £ per year.
ON.com is looking for a Staff Data Scientist specializing in Supply Chain Optimisation in Greater London. You'll play a pivotal role in designing, developing, and deploying optimization solutions that impact On's global supply chain.
Your responsibilities include:
- Leading complex projects
- Mentoring fellow data scientists
- Driving strategic decisions on forecasting and optimization
The ideal candidate has over 8 years of data science experience with a strong background in Python, SQL, and machine learning.
Staff Data Scientist - Supply Chain Optimisation employer: ON.com
At ON.com, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration in the heart of Greater London. Our commitment to employee growth is evident through mentorship opportunities and involvement in impactful projects that shape our global supply chain. With competitive benefits and a focus on work-life balance, we ensure that our team members thrive both personally and professionally.
StudySmarter Expert Advice🤫
We think this is how you could land Staff Data Scientist - Supply Chain Optimisation
✨Tip Number 1
Network like a pro! Reach out to current or former employees at ON.com on LinkedIn. A friendly chat can give you insider info and might just get your foot in the door.
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your past projects, especially those related to supply chain optimisation. This will help us see how you can make an impact at ON.com.
✨Tip Number 3
Ace the interview! Brush up on your Python, SQL, and machine learning knowledge. Be ready to discuss how you've tackled complex data problems in the past – we love hearing about real-world applications!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you're genuinely interested in joining the ON.com team.
We think you need these skills to ace Staff Data Scientist - Supply Chain Optimisation
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Staff Data Scientist role. Highlight your experience in supply chain optimisation, Python, SQL, and machine learning. We want to see how your skills align with what we're looking for!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Share your passion for data science and how you can contribute to our team. We love seeing candidates who can connect their past experiences to the role at ON.com.
Showcase Your Projects:If you've led complex projects or mentored others, make sure to mention these in your application. We value leadership and collaboration, so let us know how you've made an impact in your previous roles!
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!
How to prepare for a job interview at ON.com
✨Know Your Stuff
Make sure you brush up on your Python, SQL, and machine learning skills. Be ready to discuss specific projects where you've applied these technologies, especially in supply chain optimisation. The more concrete examples you can provide, the better!
✨Showcase Leadership Skills
Since this role involves mentoring other data scientists, be prepared to talk about your leadership experiences. Think of times when you've led a project or helped a colleague overcome a challenge. Highlight how you can inspire and guide others in the field.
✨Understand the Business Impact
It's crucial to demonstrate how your work in data science can drive strategic decisions. Research ON.com’s supply chain processes and think about how optimisation solutions can enhance efficiency. Show them you understand the bigger picture!
✨Ask Insightful Questions
Prepare some thoughtful questions about the company's current challenges in supply chain optimisation. This shows your genuine interest in the role and helps you gauge if the company is the right fit for you. Plus, it opens up a dialogue that can make you memorable!
