At a Glance
- Tasks: Join us to develop user-friendly data science applications using Java.
- Company: A leading global software solutions provider with a focus on innovation.
- Benefits: Flexible working, diverse culture, and opportunities for growth.
- Why this job: Make a global impact while working in a hybrid environment.
- Qualifications: Degree in software engineering, Java knowledge, and a passion for UI development.
- Other info: Strong English skills and a love for data science are key!
The predicted salary is between 30000 - 42000 Β£ per year.
A leading global provider of software solutions is seeking a graduate developer in Romsey, UK. This role requires a degree in software engineering or a related field, knowledge of Java, and an interest in user interface development.
The candidate will contribute to a data science application used globally, working in a hybrid environment. Strong English skills and a passion for data science are essential.
Siemens offers a flexible working approach and values diversity in the workplace.
Junior Java UI & Data Science Apps Engineer (Hybrid) in Romsey employer: Siemens AG
Contact Detail:
Siemens AG Recruiting Team
StudySmarter Expert Advice π€«
We think this is how you could land Junior Java UI & Data Science Apps Engineer (Hybrid) in Romsey
β¨Tip Number 1
Network like a pro! Reach out to your connections in the tech industry, especially those who work at Siemens or similar companies. A friendly chat can sometimes lead to job opportunities that aren't even advertised!
β¨Tip Number 2
Show off your skills! Create a portfolio showcasing your Java projects and any UI designs you've worked on. This is your chance to demonstrate your passion for data science and user interface development in a tangible way.
β¨Tip Number 3
Prepare for interviews by practising common questions related to Java and data science. We recommend doing mock interviews with friends or using online platforms to boost your confidence and refine your answers.
β¨Tip Number 4
Don't forget to apply through our website! Itβs the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Junior Java UI & Data Science Apps Engineer (Hybrid) in Romsey
Some tips for your application π«‘
Show Your Passion for Data Science: When writing your application, let us know why you're excited about data science! Share any projects or experiences that highlight your interest and skills in this area. We love seeing candidates who are genuinely passionate about what they do.
Highlight Your Java Skills: Make sure to showcase your knowledge of Java in your application. Whether it's through coursework, personal projects, or internships, we want to see how you've applied your skills. Don't forget to mention any relevant frameworks or tools you've used!
Tailor Your Application: Take a moment to customise your application for this role. Refer to the job description and align your experiences with what we're looking for. This shows us that you've done your homework and are genuinely interested in joining our team.
Apply Through Our Website: We encourage you to apply directly through our website. Itβs the best way for us to receive your application and ensures youβre considered for the role. Plus, it makes the process smoother for both of us!
How to prepare for a job interview at Siemens AG
β¨Know Your Java Inside Out
Make sure you brush up on your Java skills before the interview. Be prepared to discuss your experience with Java, including any projects you've worked on. Practising coding challenges can also help you demonstrate your problem-solving abilities.
β¨Show Your UI Passion
Since this role involves user interface development, be ready to talk about your interest in UI design. Bring examples of any UI projects you've done, even if they're just personal or academic. This will show your enthusiasm and understanding of the field.
β¨Understand Data Science Basics
Familiarise yourself with key concepts in data science, as you'll be contributing to a data science application. Brush up on relevant tools and techniques, and be ready to discuss how you can apply them in real-world scenarios.
β¨Embrace the Hybrid Work Culture
Since the role is hybrid, think about how you can effectively work both remotely and in the office. Be prepared to discuss your strategies for staying productive and connected with your team in a flexible working environment.