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- Tasks: Join a team to implement complex mathematical algorithms in C++.
- Company: A successful software company in Southampton, specialising in statistical programming.
- Benefits: Enjoy hybrid working, flexible hours, and a relaxed atmosphere.
- Why this job: Work on interesting projects that combine maths and coding in a supportive environment.
- Qualifications: Degree in Maths, Physics or similar; experience with C++ and statistical algorithms required.
- Other info: Opportunity for growth in a niche field with potential for research involvement.
The predicted salary is between 36000 - 60000 £ per year.
Software Engineer required by a successful software company located in Southampton. The company requires a C++ Software Engineer to join a niche internal C++ software engineering team specialising in complex, statistical C++ software programming.
Hybrid working - generally 2 days per week in the Southampton office. Flexible working hours.
The successful Software Engineer will likely have a relevant degree in Mathematics, Physics or similar and will have proven commercial experience with C++ programming with a statistical or mathematical bias.
The successful Software Engineer will be tasked with understanding complex mathematical and statistical research papers and then implementing those algorithms in code in a scalable fashion.
Key experience- Mathematical algorithms eg statistical / machine learning / econometric time series
- C++ programming on Windows and/or Linux
- PhD in Maths or similar subject
- Experience in both research and commercial software environments
- MATLAB
- R
- Python
This is an opportunity to join a highly successful, expanding company offering the chance to work on complex, interesting C++ programming in a relaxed atmosphere. If you are looking for an opportunity of this nature please get in touch.
Contact Detail:
Spectrum IT Recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Software Engineer - Maths, Stats, Machine Learning
✨Tip Number 1
Familiarise yourself with the latest trends in machine learning and statistical algorithms. Being able to discuss recent advancements or applications during your interview can demonstrate your passion and knowledge in the field.
✨Tip Number 2
Brush up on your C++ skills, especially in relation to mathematical programming. Consider working on personal projects or contributing to open-source projects that involve complex algorithms to showcase your abilities.
✨Tip Number 3
Prepare to discuss how you approach understanding and implementing complex research papers. Having a structured method for breaking down algorithms will impress interviewers and show your analytical skills.
✨Tip Number 4
Network with professionals in the field through platforms like LinkedIn or relevant forums. Engaging with others can provide insights into the company culture and potentially lead to referrals, increasing your chances of landing the job.
We think you need these skills to ace Software Engineer - Maths, Stats, Machine Learning
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with C++ programming and any relevant mathematical or statistical projects. Include specific examples of algorithms you've implemented and the impact they had.
Craft a Strong Cover Letter: In your cover letter, express your passion for software engineering and your interest in the company's niche focus. Mention any relevant degrees or experiences that align with the job description, particularly in mathematics or statistics.
Showcase Relevant Projects: If you have worked on projects involving machine learning or statistical analysis, be sure to include these in your application. Describe your role, the technologies used, and the outcomes achieved.
Highlight Soft Skills: Since the role involves understanding complex research papers, emphasise your analytical skills and ability to communicate technical concepts clearly. This can set you apart from other candidates.
How to prepare for a job interview at Spectrum IT Recruitment
✨Brush Up on Your C++ Skills
Make sure you're comfortable with C++ programming, especially in the context of statistical and mathematical applications. Review key concepts and be prepared to discuss your previous projects or experiences where you applied these skills.
✨Understand Mathematical Algorithms
Familiarise yourself with the mathematical algorithms relevant to the role, such as those used in machine learning and econometrics. Be ready to explain how you would implement these algorithms in code, as this will likely come up during technical discussions.
✨Prepare for Problem-Solving Questions
Expect to face problem-solving scenarios that test your analytical thinking and coding abilities. Practice coding challenges that involve implementing algorithms or solving mathematical problems to showcase your skills effectively.
✨Show Enthusiasm for Research
Since the role involves understanding complex research papers, demonstrate your interest in academic research and how it applies to software engineering. Discuss any relevant experience you have in both research and commercial environments to highlight your versatility.
