Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Drive logistics network simulation and develop models for pricing and expansion strategies.
- Company: Innovative logistics company based in London, focused on transforming the industry.
- Benefits: Equity, comprehensive health coverage, flexible working arrangements, and generous holiday perks.
- Why this job: Make a real impact by solving complex business challenges with data-driven insights.
- Qualifications: Strong modelling skills, proficiency in Python and SQL, and excellent communication abilities.
- Other info: Join a dynamic team with opportunities for professional growth and innovation.
The predicted salary is between 48000 - 72000 £ per year.
A logistics innovation company in London is seeking a Senior Data Scientist to drive the simulation of their logistics network. You will develop modular models that answer complex business questions regarding pricing and expansions.
Ideal candidates will have:
- Strong modelling skills
- Proficiency in Python and SQL
- The ability to communicate insights clearly to non-technical partners
The role offers equity, comprehensive health coverage, and extensive perks including holidays and flexible working arrangements.
Senior Data Scientist - Strategic Finance Network Modeling in City of London employer: Relay Technologies
Contact Detail:
Relay Technologies Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Scientist - Strategic Finance Network Modeling in City of London
✨Tip Number 1
Network like a pro! Reach out to current employees or alumni in similar roles 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 modelling projects, especially those using Python and SQL. This will help you stand out and demonstrate your expertise during interviews.
✨Tip Number 3
Practice your communication skills! Since you'll need to explain complex data insights to non-technical partners, try explaining your past projects to friends or family. The clearer you are, the better!
✨Tip Number 4
Apply through our website! We make it easy for you to submit your application directly, and it shows you're genuinely interested in joining our team. Plus, who doesn’t love a smooth application process?
We think you need these skills to ace Senior Data Scientist - Strategic Finance Network Modeling in City of London
Some tips for your application 🫡
Show Off Your Modelling Skills: Make sure to highlight your experience with modular models in your application. We want to see how you've tackled complex business questions in the past, so don’t hold back on those examples!
Python and SQL Proficiency: Since we’re looking for someone with strong skills in Python and SQL, be sure to mention any relevant projects or experiences. If you’ve built something cool, let us know about it!
Communicate Clearly: Remember, you’ll need to share insights with non-technical partners. Use your application to demonstrate how you can explain complex data in simple terms. A clear communication style will definitely catch our eye!
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 details about the role!
How to prepare for a job interview at Relay Technologies
✨Know Your Models Inside Out
Make sure you’re well-versed in the types of models you’ll be working with. Brush up on your modular modelling skills and be ready to discuss how you’ve applied them in past projects. This will show that you can tackle complex business questions effectively.
✨Show Off Your Python and SQL Skills
Prepare to demonstrate your proficiency in Python and SQL during the interview. You might be asked to solve a problem or explain your thought process while coding. Practising common data manipulation tasks can help you feel more confident.
✨Communicate Like a Pro
Since you’ll need to share insights with non-technical partners, practice explaining your findings in simple terms. Use examples from your previous work where you successfully communicated complex data insights to a diverse audience.
✨Research the Company’s Logistics Network
Familiarise yourself with the company’s logistics network and any recent innovations they’ve implemented. This knowledge will not only impress your interviewers but also help you tailor your answers to align with their strategic goals.
