Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Design and develop advanced tools using Machine Learning to enhance supply chain efficiency.
- Company: Leading logistics company with a focus on innovation and continuous learning.
- Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
- Why this job: Make a real impact in logistics by driving solutions that improve productivity.
- Qualifications: 5+ years of experience in data science and machine learning techniques.
- Other info: Join a dynamic team dedicated to innovation and career development.
The predicted salary is between 43200 - 72000 £ per year.
A leading logistics company is seeking a Senior Data Scientist in Manchester to design and develop advanced tools using Machine Learning and Data Science. You will drive solutions to improve supply chain efficiency and productivity.
The ideal candidate will have 5+ years of experience and expertise in machine learning techniques. This role offers a hybrid work model, fostering a culture of continuous learning and innovation.
Senior Data Scientist - Hybrid Remote for Supply Chain in Manchester employer: CHEP UK Ltd.
Contact Detail:
CHEP UK Ltd. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Scientist - Hybrid Remote for Supply Chain in Manchester
✨Tip Number 1
Network like a pro! Reach out to professionals in the logistics and data science fields on LinkedIn. Join relevant groups and engage in discussions to get your name out there and learn about potential job openings.
✨Tip Number 2
Showcase your skills! Create a portfolio of your projects, especially those related to machine learning and supply chain optimisation. This will give you an edge and demonstrate your hands-on experience to potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on common data science questions and case studies. Practice explaining your thought process clearly, as communication is key in this role. We want to see how you approach problem-solving!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive and take the initiative to connect with us directly.
We think you need these skills to ace Senior Data Scientist - Hybrid Remote for Supply Chain in Manchester
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in machine learning and data science. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about improving supply chain efficiency and how your background makes you the perfect fit for our team at StudySmarter.
Showcase Your Problem-Solving Skills: In your application, give examples of how you've tackled complex problems using data science. We love seeing candidates who can think critically and drive innovative solutions!
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 in our hybrid work environment!
How to prepare for a job interview at CHEP UK Ltd.
✨Know Your Machine Learning Inside Out
Make sure you brush up on your machine learning techniques and be ready to discuss specific algorithms you've used in past projects. Prepare examples that showcase how your work has improved supply chain efficiency.
✨Understand the Supply Chain Landscape
Familiarise yourself with the current trends and challenges in the logistics industry. Being able to speak knowledgeably about how data science can solve real-world supply chain problems will impress your interviewers.
✨Showcase Your Problem-Solving Skills
Prepare to discuss complex problems you've tackled in previous roles. Use the STAR method (Situation, Task, Action, Result) to structure your answers and highlight your analytical thinking and creativity.
✨Embrace the Hybrid Work Model
Since this role offers a hybrid work model, be ready to discuss how you manage your time and productivity in both remote and in-office settings. Share any tools or strategies you use to stay organised and connected with your team.
