At a Glance
- Tasks: Analyse complex datasets and develop innovative machine learning solutions.
- Company: Join Hitachi Rail, a leader in digital transformation and technology.
- Benefits: Competitive salary, 25 days holiday, private medical insurance, and flexible perks.
- Other info: Inclusive environment with opportunities for growth and development.
- Why this job: Make a real impact on intelligent asset monitoring and work with cutting-edge technology.
- Qualifications: Degree in STEM, strong programming skills, and experience in data science.
The predicted salary is between 63000 - 77000 £ per year.
A career at Hitachi Rail will help create a legacy. With operations in every corner of the world, our work goes to the cutting-edge of digital transformation and technology.
We're looking for an ambitious and highly analytical Data Science Engineer to join our growing Analytics team based full-time at our Eastleigh office. This is an exciting opportunity to work with large-scale sensor datasets, develop innovative machine learning and condition monitoring solutions, and help deliver industry-leading analytics capabilities to customers worldwide.
This role would suit someone with a strong academic background, ideally educated to Master's or PhD level in a STEM discipline, who has already gained some commercial experience applying data science, machine learning, or analytics techniques in a professional environment.
You'll be a naturally curious problem solver, someone who enjoys turning complex data into actionable insights and thrives in a collaborative engineering environment where innovation and continuous improvement are encouraged.
Some key responsibilities:
- Analyse complex sensor and operational datasets to identify trends, patterns and valuable customer insights.
- Design, develop and refine condition monitoring and machine learning algorithms.
- Develop software and analytical tools to support business and customer requirements.
- Work closely with cross-functional engineering and analytics teams on new capability development.
- Produce clear technical reports, presentations and visualisations for both internal and external audiences.
- Contribute to continuous improvement of analytical approaches, tools and processes.
- Support production analytics systems and help investigate performance issues and technical challenges.
About you:
You'll bring a combination of strong technical capability, commercial awareness and a proactive approach to problem-solving.
Essential:
- Degree, Master's or PhD in a STEM subject.
- Strong programming skills in Python, R, MATLAB or a similar language.
- Experience analysing and interpreting complex datasets.
- Understanding of Data Science and Machine Learning principles.
- Excellent communication skills, with the ability to present technical information clearly to different audiences.
- Demonstrated experience delivering technical or research-based projects.
- A proactive mindset with strong problem-solving abilities and a genuine desire to learn and develop.
Desirable:
- PhD in a relevant STEM discipline.
- Experience with Azure or other cloud platforms.
- Experience applying AI technology to complex engineering / data science applications.
- Knowledge of software engineering practices such as version control and continuous integration.
- .NET programming experience.
- Experience within predictive maintenance, condition monitoring, vibration analysis or industrial analytics.
- Experience within rail, transport or other engineering-intensive industries.
What we offer:
We value the importance of all of our employees. If you would like to join our fantastic organisation, you could be entitled to:
- Competitive salary
- 25 days holiday
- Pension scheme with contributions up to 9%
- Private medical insurance
- Personal Accident Insurance
- Group Income Protection
- Group Life Insurance
- Employee Assistance Programme
We also offer additional perks for you to choose from within a flexible plan that can be tailored to meet your specific needs and lifestyle.
Ready to apply your expertise to real-world engineering challenges and help shape the future of intelligent asset monitoring? We'd love to hear from you.
At Hitachi Rail, there is a place for everyone. We welcome and value differences in background, age, gender, sexuality, family status, disability, race, nationality, ethnicity, religion, and world view. It is our commitment to create an inclusive environment - we are proud to be an equal opportunity employer.
Data Science Engineer employer: Hitachi
At Hitachi Energy, we pride ourselves on being an exceptional employer, offering a dynamic work environment in Birmingham that fosters collaboration and innovation. Our commitment to employee growth is evident through continuous training opportunities and a culture that values diversity and inclusion, ensuring every team member can thrive while contributing to a sustainable energy future. Join us to be part of a global team dedicated to making a meaningful impact in the energy sector.
StudySmarter Expert Advice🤫
We think this is how you could land Data Science Engineer
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Hitachi!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Data Science Engineer at Hitachi.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Hitachi.
✨Apply Directly through Our Website
When you find a suitable opening like Data Science Engineer at Hitachi, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Data Science Engineer
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!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Hitachi, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Hitachi. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Hitachi
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Hitachi!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
