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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.
- Other info: Dynamic environment with a focus on collaboration and personal development.
- Why this job: Make a real impact in a modern software company driving industry innovation.
- Qualifications: Bachelor's degree in a technical field and experience in C++ programming.
The predicted salary is between 36000 - 60000 £ per year.
Hello World, We are hiring. 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. Does that sound like you? Then it seems like you'd 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'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
- 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'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 employer: Siemens AG
Contact Detail:
Siemens AG Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Software Engineer: Statistics And Machine Learning
✨Tip Number 1
Network like a pro! Reach out to current employees at Siemens Software on LinkedIn or through mutual connections. A friendly chat can give you insider info and might just get your foot in the door.
✨Tip Number 2
Show off your skills! Prepare a portfolio of your projects, especially those involving C++ and machine learning. When you get the chance to chat with recruiters, share your work and how it relates to the role.
✨Tip Number 3
Ace the interview by practising common technical questions and problem-solving scenarios. We recommend doing mock interviews with friends or using online platforms to boost your confidence.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. 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
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 excited you are about the role and how you can contribute to our innovative team.
Tailor Your CV: Make sure your CV is tailored to highlight your experience with C++ and any relevant projects you've worked on. We love seeing specific examples of how you've tackled problems and implemented solutions in your previous roles.
Be Clear and Concise: In your written application, clarity is key. Use straightforward language to explain your skills and experiences. We appreciate a logical flow that makes it easy for us to understand your qualifications at a glance.
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re serious about joining our team!
How to prepare for a job interview at Siemens AG
✨Know Your Stuff
Make sure you brush up on your C++ skills and be ready to discuss your experience with statistical and machine learning algorithms. Be prepared to explain how you've implemented these in past projects, as this will show your practical understanding of the concepts.
✨Show Off Your Problem-Solving Skills
During the interview, expect to tackle some logical problems or coding challenges. Practice common algorithm questions and think aloud while solving them. This not only demonstrates your thought process but also your ability to communicate solutions clearly.
✨Be a Team Player
Siemens values collaboration, so highlight your interpersonal skills and any experiences where you worked effectively within a team. Share examples of how you’ve communicated complex ideas to non-technical team members, as this shows your ability to bridge gaps.
✨Ask Insightful Questions
Prepare thoughtful questions about the role and the company culture. Inquire about the team dynamics, ongoing projects, or how they approach innovation. This shows your genuine interest in the position and helps you assess if it’s the right fit for you.