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- Tasks: Join our team to enhance machine learning and statistical 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: Degree in a numerical discipline and experience in C++ coding required.
- Other info: Diverse culture that values individual contributions and promotes work-life balance.
The predicted salary is between 30000 - 50000 £ per year.
Hello World, We are hiring. We empower our people to stay resilient and relevant in a constantly evolving world. We are 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. Does that sound like you? Then it seems like you would make a phenomenal addition to our vibrant team.
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 will 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
- 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:
Siemens is not the same manufacturing company as the past. We are helping our customers get to tomorrow faster through innovation and digitalisation and are transforming alongside them. We are a modern, forward-looking software company, with the opportunities of a large corporation, where your opportunities are endless. The role you apply for today is only the first step in your Siemens journey. 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 would 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.
Siemens. Making real what matters. If you want to make a difference – make it with us.
Software Engineer: Statistics and Machine Learning 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 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
Prepare for technical interviews by brushing up on your C++ skills and understanding machine learning concepts. Practice coding challenges and be ready to discuss your past projects. We want to see how you think and solve problems!
✨Tip Number 3
Show off your passion for learning! During interviews, share examples of how you've kept up with industry trends or learned new technologies. This aligns perfectly with our culture of growth and innovation at Siemens Software.
✨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 in Romsey
Some tips for your application 🫡
Show Your Passion: When writing your application, let your enthusiasm for statistics and machine learning shine through. We want to see how your experiences align with our mission to drive digital transformation and innovation.
Tailor Your CV: Make sure your CV highlights relevant experience in C++ and any other programming languages you've worked with. We love seeing how you've tackled complex problems and implemented algorithms in a robust way.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you’re the perfect fit for our team. Share specific examples of your problem-solving skills and how you've contributed to team success in previous roles.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates from our team!
How to prepare for a job interview at Siemens
✨Know Your Algorithms
Brush up on your understanding of statistical and machine learning algorithms. Be ready to discuss how you've implemented these in your previous work, especially in C++. This shows you not only understand the theory but can also apply it practically.
✨Showcase Your Problem-Solving Skills
Prepare to share specific examples of complex problems you've solved in your past roles. Use the STAR method (Situation, Task, Action, Result) to structure your answers. This will demonstrate your logical approach and ability to communicate solutions effectively.
✨Familiarise Yourself with the Company
Research Siemens Software and their role in digital transformation. Understand their products and how they leverage data analytics. This knowledge will help you tailor your responses and show your genuine interest in the company and its mission.
✨Practice Your Communication Skills
Since good communication is key, practice explaining complex concepts in simple terms. You might be asked to explain a technical topic to someone without a technical background, so being clear and concise is crucial.