At a Glance
- Tasks: Support data science initiatives and collaborate on machine learning projects.
- Company: Corpay, a leader in international vehicle payments, based in London.
- Benefits: Training provided, office-based role with modern equipment.
- Other info: Exciting opportunity for growth in a fast-paced environment.
- Why this job: Join a dynamic team and make an impact in the world of data science.
- Qualifications: Master's degree, strong Python/SQL skills, and ML knowledge required.
The predicted salary is between 60000 - 75000 £ per year.
Corpay in London, UK is hiring a Junior Data Scientist/Machine Learning Engineer within our International Vehicle Payments division.
You will support the data science team with analytics and ML initiatives, report to the Lead Data Scientist and collaborate with IT.
The role requires a Master's in a related field, strong Python/SQL skills, ML knowledge, and cloud familiarity. Office-based role with training and equipment provided in London.
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Junior Data Scientist & ML Engineer — London employer: CCS Česká společnost pro platební karty s.r.o
Corpay is an exceptional employer located in the vibrant city of London, offering a dynamic work culture that fosters collaboration and innovation. As a Junior Data Scientist/Machine Learning Engineer, you will benefit from comprehensive training and access to cutting-edge technology, while also enjoying ample opportunities for professional growth within a supportive team environment. Join us to make a meaningful impact in the International Vehicle Payments division and advance your career in a thriving industry.
Contact Details:
CCS Česká společnost pro platební karty s.r.o Recruitment Team
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We think you need these skills to ace Junior Data Scientist & ML Engineer — London
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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