At a Glance
- Tasks: Work with large-scale sensor data to develop ML and condition monitoring solutions.
- Company: Join Hitachi Rail's innovative Analytics team in Eastleigh.
- Benefits: Competitive salary, hands-on experience, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on innovation and teamwork.
- Why this job: Make a global impact by solving real-world problems with cutting-edge technology.
- Qualifications: Master’s or PhD in STEM and strong programming skills in Python/R/MATLAB.
The predicted salary is between 63000 - 77000 £ per year.
Hitachi Rail is seeking a Data Science Engineer to join the Analytics team in Eastleigh, UK.
The role is on-site and involves working with large-scale sensor data, developing ML and condition monitoring solutions for global customers.
Ideal candidates hold a Master’s or Ph D in a STEM field with experience applying data science techniques in a professional setting, and strong Python/R/MATLAB programming skills.
Collaboration across engineering and analytics teams is key.
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Data Science Engineer — ML & Condition Monitoring, Eastleigh employer: Hitachi Vantara Corporation
GlobalLogic is an exceptional employer, offering a dynamic work culture that fosters inclusivity and personal growth. As a Technical Programme Manager in the UK, you will benefit from a comprehensive health and wellness plan, generous training budgets, and a vibrant social environment, all while leading transformative data initiatives in the Banking, Financial Services, and Insurance sectors. With a commitment to employee development and a supportive hybrid working model, GlobalLogic empowers you to thrive both professionally and personally.
Contact Details:
Hitachi Vantara Corporation Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Data Science Engineer — ML & Condition Monitoring, Eastleigh
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We think you need these skills to ace Data Science Engineer — ML & Condition Monitoring, Eastleigh
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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