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- Tasks: Tackle complex challenges in supply chain forecasting and optimisation.
- Company: Leading data science firm in London with a dynamic work culture.
- Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
- Why this job: Make a real impact by delivering scalable solutions in a fast-paced environment.
- Qualifications: Experience with production-ready data science products and strong problem-solving skills.
- Other info: Join a team of experts and thrive in a collaborative atmosphere.
The predicted salary is between 43200 - 72000 £ per year.
A leading data science firm in London is urgently seeking 7 Senior Data Scientists to start ASAP. The role is hybrid, requiring attendance at the office one day a week.
Ideal candidates will have experience with production-ready data science products, with an emphasis on forecasting and optimization in Supply Chain or Logistics. Candidates must be comfortable with ambiguity and adept at problem-solving in complex situations.
Joining this company means tackling significant challenges and delivering scalable solutions.
Senior Data Scientist — Supply Chain Forecasting (Hybrid) in London employer: Arrows
Contact Detail:
Arrows Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Scientist — Supply Chain Forecasting (Hybrid) in London
✨Tip Number 1
Network like a pro! Reach out to current employees on LinkedIn or attend industry meetups. We can’t stress enough how personal connections can give you the inside scoop on job openings and company culture.
✨Tip Number 2
Prepare for those tricky interview questions! Brush up on your problem-solving skills and be ready to discuss your experience with forecasting and optimisation in detail. We want you to shine when it comes to showcasing your expertise!
✨Tip Number 3
Don’t forget to follow up after interviews! A quick thank-you email can keep you fresh in their minds. We believe this small gesture can make a big difference in showing your enthusiasm for the role.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. We’ve streamlined the process to make it easy for you, so don’t miss out on the chance to join a leading data science firm.
We think you need these skills to ace Senior Data Scientist — Supply Chain Forecasting (Hybrid) in London
Some tips for your application 🫡
Showcase Your Experience: Make sure to highlight your experience with production-ready data science products, especially in forecasting and optimisation. We want to see how you've tackled similar challenges in the past!
Embrace Ambiguity: Since the role requires comfort with ambiguity, share examples of how you've navigated complex situations. We love seeing problem-solving skills in action, so don't hold back!
Tailor Your Application: Take a moment to customise your application for this specific role. Mention how your skills align with our needs in Supply Chain and Logistics. It shows us you’re genuinely interested!
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 don’t miss out on any important updates!
How to prepare for a job interview at Arrows
✨Know Your Data Science Stuff
Make sure you brush up on your data science fundamentals, especially around forecasting and optimisation in supply chain contexts. Be ready to discuss your previous projects and how you've tackled complex problems with data-driven solutions.
✨Showcase Your Problem-Solving Skills
Prepare examples that highlight your ability to navigate ambiguity and solve intricate issues. Use the STAR method (Situation, Task, Action, Result) to structure your responses, making it clear how you approached challenges and what outcomes you achieved.
✨Familiarise Yourself with the Company
Research the company’s recent projects and their approach to data science in supply chain forecasting. This will not only help you understand their needs but also allow you to tailor your answers to show how you can contribute to their goals.
✨Ask Insightful Questions
Prepare thoughtful questions about the role and the team dynamics. Inquire about the tools they use for forecasting or how they measure success in their data science initiatives. This shows your genuine interest and helps you assess if the company is the right fit for you.
