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- Tasks: Join our team to enhance statistical and machine learning capabilities in data analytics.
- Company: Siemens Software, a leader in digital transformation and innovation.
- Benefits: Flexible work options, competitive rewards, and endless growth opportunities.
- Why this job: Make a real impact with cutting-edge technology in a vibrant, supportive environment.
- Qualifications: Bachelor's degree in a technical field and experience in C++ programming.
- Other info: Diverse culture that values individual contributions and promotes work-life balance.
The predicted salary is between 28800 - 48000 ÂŁ per year.
We empower our people to stay resilient and relevant in a constantly evolving world. We’re looking for people who are always searching for creative ways to grow and learn. People who want to make a real impact, now and in the future.
Siemens Software, a business unit of the Siemens Digital Industries, is a leading global provider of software solutions to drive the digital transformation of industry, crafting new opportunities for manufacturers to realise innovation.
About the role:
Work within the development team to extend and expand upon the extensive statistical, time series and machine learning capabilities of our data analytics portfolio.
What you’ll bring:
- Bachelor’s degree in mathematics, physics, computer science or other numerical technical discipline
- A minimum of 4 years of experience writing high quality C++ code for enterprise applications
- Understanding higher level mathematical and statistical research papers and then implementing those algorithms or methods in code in a robust and scalable manner
- Logical problem‑solving approach and the ability to clearly communicate the situation and proposed solutions to the wider team
- Familiarity with statistical, econometric time series, machine learning or other mathematical algorithms and their uses
- Master’s or PhD degree in mathematical discipline
- A minimum of 6 years of experience in a software engineering or research environment is a plus
- Experience with other programming languages in the data analytics and numerical space (Matlab/R/Python/SAS language)
- Highly self‑motivated to learn
- Commercial awareness & attention to detail
- Logical problem‑solving skills, ability to demonstrate solutions coherently
- Excellent interpersonal and teamworking skills
- Good oral and written communication skills in fluent English
- Self‑motivation and strong organizational skills
Working at Siemens Software means flexibility – choosing between working at home and the office at other times is the norm here. We offer great benefits and rewards, as you’d expect from a world leader in industrial software. We are diverse, show respect and believe everyone deserves an opportunity. Flattening hierarchies, celebrating individual contributions, expressing different ways of thinking and embracing flexibility to respect life beyond work.
If you want to make a difference – make it with us!
Software Engineer: Statistics and Machine Learning (C++) in Romsey employer: Siemens Mobility
Contact Detail:
Siemens Mobility Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Software Engineer: Statistics and Machine Learning (C++) in Romsey
✨Tip Number 1
Network like a pro! Reach out to current employees at Siemens Software on LinkedIn or other platforms. Ask them about their experiences and any tips they might have for landing a role in the team. Personal connections can make a huge difference!
✨Tip Number 2
Show off your skills! If you’ve got a GitHub or personal project showcasing your C++ prowess, make sure to highlight it during interviews. We love seeing practical applications of your knowledge, especially in statistics and machine learning.
✨Tip Number 3
Prepare for technical interviews by brushing up on algorithms and problem-solving techniques. Practice coding challenges that focus on statistical methods and machine learning concepts. We want to see how you think and approach problems!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining our vibrant team at Siemens Software.
We think you need these skills to ace Software Engineer: Statistics and Machine Learning (C++) in Romsey
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the role. Highlight your C++ expertise and any relevant projects you've worked on, especially those involving statistics and machine learning.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're passionate about this role and how you can contribute to our team. Share specific examples of your problem-solving skills and your experience with statistical algorithms.
Showcase Your Learning Mindset: We love candidates who are eager to learn and grow. Mention any recent courses, certifications, or personal projects that demonstrate your commitment to staying current in the field of software engineering and data analytics.
Apply Through Our Website: For the best chance of success, make sure to apply directly through our website. This way, we can easily track your application and ensure it reaches the right people in our team.
How to prepare for a job interview at Siemens Mobility
✨Know Your C++ Inside Out
Make sure you brush up on your C++ skills before the interview. Be prepared to discuss your past projects and how you've implemented complex algorithms. Practising coding challenges can also help you demonstrate your problem-solving abilities.
✨Understand the Maths Behind the Code
Since the role involves statistics and machine learning, it’s crucial to understand the mathematical concepts behind these areas. Review key algorithms and be ready to explain how you would implement them in a robust manner. This will show your depth of knowledge and ability to apply theory to practice.
✨Communicate Clearly and Confidently
During the interview, focus on articulating your thought process clearly. When discussing solutions to problems, break down your approach step-by-step. This not only showcases your logical thinking but also your ability to collaborate with the team.
✨Show Your Passion for Learning
Siemens values individuals who are eager to grow and learn. Share examples of how you’ve pursued new knowledge or skills in your career. Whether it's taking courses, attending workshops, or personal projects, demonstrating your self-motivation will resonate well with the interviewers.
