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- Tasks: Develop applied data science products for Supply Chain using Python and SQL.
- Company: Leading recruitment firm offering exciting opportunities in London.
- Benefits: Competitive daily rate of £600-£700 and hybrid work model.
- Why this job: Join a dynamic team and make an impact in the logistics sector.
- Qualifications: Expertise in forecasting, optimisation, and cloud platforms like AWS or GCP.
- Other info: 12-month rolling contract with one day in the office per week.
A leading recruitment firm is urgently seeking Senior Data Scientists in London for a 12-month rolling contract. The role emphasizes the development of applied data science products, requiring expertise in Python, SQL, and cloud platforms like AWS or GCP.
Candidates must have experience in forecasting and optimization, particularly in Supply Chain or Logistics. This is a hybrid role, with one day in the office per week, paying £600-£700 per day.
Senior Data Scientist – Production ML for Supply Chain in London employer: Jobster
Contact Detail:
Jobster Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Scientist – Production ML for Supply Chain in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the data science field, especially those in supply chain or logistics. A friendly chat can lead to insider info about job openings that aren't even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects in Python, SQL, and cloud platforms. This is your chance to demonstrate your expertise in forecasting and optimisation, making you stand out to potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on common data science questions and case studies related to supply chain challenges. We recommend practising with friends or using mock interview platforms to build your confidence.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities waiting for talented Senior Data Scientists like you. Plus, it’s a great way to ensure your application gets noticed by the right people.
We think you need these skills to ace Senior Data Scientist – Production ML for Supply Chain in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Python, SQL, and cloud platforms like AWS or GCP. We want to see how your skills align with the role, so don’t be shy about showcasing your forecasting and optimisation expertise in Supply Chain or Logistics.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re the perfect fit for this Senior Data Scientist role. We love seeing passion and clarity, so make sure to connect your past experiences to the job description.
Showcase Relevant Projects: If you've worked on any projects related to applied data science products, especially in supply chain contexts, make sure to mention them. We’re keen to see real-world applications of your skills, so include links or summaries if possible!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the easiest way for us to keep track of your application and ensures you don’t miss out on any important updates. Plus, we love seeing candidates who take that extra step!
How to prepare for a job interview at Jobster
✨Know Your Tech Stack
Make sure you’re well-versed in Python, SQL, and the cloud platforms mentioned, like AWS or GCP. Brush up on your coding skills and be ready to discuss specific projects where you've applied these technologies.
✨Showcase Your Supply Chain Expertise
Prepare examples of how you've used data science in forecasting and optimisation within supply chain or logistics. Be ready to explain your thought process and the impact your work had on previous projects.
✨Practice Problem-Solving
Expect technical questions or case studies during the interview. Practise solving real-world problems related to production ML and supply chain scenarios to demonstrate your analytical skills and approach.
✨Ask Insightful Questions
Prepare thoughtful questions about the company’s data science initiatives and how they integrate with supply chain operations. This shows your genuine interest in the role and helps you assess if it’s the right fit for you.
