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- Tasks: Join our team to enhance statistical and machine learning capabilities in data analytics.
- Company: Siemens Software, a modern tech company embracing innovation and digitalisation.
- Benefits: Flexible hybrid work, competitive salary, and great rewards.
- Why this job: Make a real impact with cutting-edge technology and innovative projects.
- Qualifications: Bachelor's degree in a technical field and experience in C++ programming.
- Other info: Diverse culture with endless opportunities for growth and development.
The predicted salary is between 36000 - 60000 ÂŁ per year.
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
- Minimum 4 years of experience writing high quality C++ code for enterprise applications
- Understanding higher level mathematical and statistical research papers and implementing those algorithms or methods in a robust and scalable manner
- Logical problem‑solving approach and 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 a mathematical discipline
- Minimum 6 years of experience in a software engineering or research environment is a plus
- Cross‑platform development experience
- 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. 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.
Software Engineer: Statistics and Machine Learning (C++) in Romsey employer: Siemens
Contact Detail:
Siemens 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 folks in the industry, attend meetups, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your C++ projects, especially those involving statistics and machine learning. This gives you a chance to demonstrate your expertise and makes you stand out from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your problem-solving skills. Practice coding challenges and be ready to discuss how you've tackled complex problems in the past. We want to see your logical approach in action!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, it shows you’re genuinely interested in joining our 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 highlights your experience with C++ and any relevant statistical or machine learning projects. We want to see how your skills align with the role, so don’t be shy about showcasing your achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to tell us why you’re the perfect fit for this role. Share your passion for software engineering and how your background in mathematics or statistics makes you stand out. Keep it engaging and personal!
Showcase Problem-Solving Skills: In your application, give examples of how you've tackled complex problems in past projects. We love seeing logical approaches and clear communication, so make sure to highlight these skills in your written application.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, you’ll find all the details you need about the role and our company culture there!
How to prepare for a job interview at Siemens
✨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 Statistical Concepts
Since the role involves statistics and machine learning, it’s crucial to have a solid grasp of these concepts. Familiarise yourself with key algorithms and be ready to explain how you’ve applied them in real-world scenarios. This will show your depth of knowledge and practical experience.
✨Communicate Clearly
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 helps the interviewers understand your reasoning.
✨Show Your Passion for Learning
Demonstrate your self-motivation and eagerness to learn new technologies or methodologies. Share examples of how you’ve kept up with industry trends or pursued additional training. This will highlight your commitment to personal and professional growth, which is highly valued in a dynamic environment.
