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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.
- Other info: Diverse culture that values individual contributions and promotes work-life balance.
- 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.
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 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 realize 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 digitalization 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 (C++) in Southampton 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 Southampton
✨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. Personal connections can make all the difference!
✨Tip Number 2
Prepare for technical interviews by brushing up on your C++ skills and understanding machine learning concepts. We recommend doing mock interviews with friends or using online platforms to simulate the real deal. Practice makes perfect!
✨Tip Number 3
Showcase your projects! If you’ve worked on relevant software or data analytics projects, make sure to highlight them during interviews. We love seeing practical applications of your skills, so be ready to discuss your contributions.
✨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 Southampton
Some tips for your application 🫡
Show Your Passion: When writing your application, let your enthusiasm for software engineering and machine learning shine through. We want to see that you're not just ticking boxes but genuinely excited about the role and what you can bring to our 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 how your skills align with our needs, 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. Use it to explain how your background in mathematics and statistics makes you a strong candidate, and share specific examples of your problem-solving skills.
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, it shows us that you’re proactive and keen to join our vibrant team!
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 the Maths Behind the Code
Since the role involves statistics and machine learning, it’s crucial to have a solid grasp of the mathematical concepts behind these fields. Be ready to explain how you’ve applied these concepts in your previous work and how they relate to the job at Siemens Software.
✨Communicate Clearly and Confidently
During the interview, focus on articulating your thought process clearly. Use examples from your experience to illustrate your points. Remember, they’re looking for someone who can communicate effectively with the team, so practice explaining complex ideas in simple terms.
✨Show Your Passion for Learning
Siemens Software values self-motivation and a desire to grow. Be prepared to discuss how you keep your skills sharp and what new technologies or methodologies you’re excited about. This will show that you’re not just looking for a job, but a place where you can make a real impact.