Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Develop algorithms and process data to extract insights from imagery and LiDAR.
- Company: Join a forward-thinking team focused on innovative computational solutions.
- Benefits: Enjoy a collaborative environment and work on cutting-edge projects.
- Why this job: Tackle real-world problems with creative solutions in a diverse data landscape.
- Qualifications: Master’s degree in relevant fields and strong Python skills required.
- Other info: Experience in signal processing or GPR is a plus.
The predicted salary is between 36000 - 60000 £ per year.
Do you love solving complex problems with data? Are you a Python expert with a passion for image processing and machine learning? Looking for an opportunity to work on cutting-edge computational solutions? If this sounds like you, read on.
About the Role
An exciting opportunity has arisen for a Computational Scientist to work on innovative data-driven solutions. This role involves developing advanced algorithms, processing multiple data sources, and delivering powerful insights to inform decision-making. Working on long term R&D projects at the forefront of innovation, shaping cutting-edge data solutions as well as solving immediate client needs on complex and critical systems.
You will be responsible for:
- Developing algorithms to extract key insights from imagery, LiDAR, and other datasets
- Enhancing and maintaining Python-based internal software for data processing
- Conducting signal and image processing to solve complex analytical challenges
- Combining multiple data streams to generate meaningful insights
- Managing large-scale datasets for machine learning applications
- Presenting findings and contributing to research discussions
Why This Role is Great
- Innovative Work – Apply cutting-edge computational techniques to solve real-world problems
- Creative Problem-Solving – Develop unique solutions for complex data challenges
- Diverse Data Streams – Work with LiDAR, radar, and high-resolution imagery
- Collaborative Environment – Join a team of talented scientists and engineers
About You
To succeed in this role, you should have:
Essential Qualifications & Skills
- A Master’s degree in Engineering, Mathematics, Computer Science or Similar
- Strong Python programming skills with commercial experience
- Experience in image processing and data analysis
- Excellent written and verbal communication skills
- Familiarity with collaborative programming and version control (Git)
Preferred Skills (Nice to Have, But Not Essential)
- Experience in signal processing or image processing
- Knowledge of ground-penetrating radar (GPR) and LiDAR
ID37851 - Algorithm - Python Developer - Signal / Image Processing - Lidar employer: Humand Talent
Contact Detail:
Humand Talent Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land ID37851 - Algorithm - Python Developer - Signal / Image Processing - Lidar
✨Tip Number 1
Network with professionals in the field of computational science and data processing. Attend relevant meetups, webinars, or conferences to connect with like-minded individuals and learn about the latest trends and technologies in image processing and machine learning.
✨Tip Number 2
Showcase your Python skills by contributing to open-source projects or creating your own projects related to signal and image processing. This not only demonstrates your expertise but also gives you practical experience that can be discussed during interviews.
✨Tip Number 3
Prepare to discuss specific algorithms and techniques you've used in past projects. Be ready to explain how you approached complex problems and the impact of your solutions, as this will highlight your problem-solving abilities and technical knowledge.
✨Tip Number 4
Familiarise yourself with the latest advancements in LiDAR and radar technologies. Understanding these areas will not only enhance your knowledge but also show your enthusiasm for the role and your commitment to staying updated in a rapidly evolving field.
We think you need these skills to ace ID37851 - Algorithm - Python Developer - Signal / Image Processing - Lidar
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your Python programming skills and any relevant experience in image processing and data analysis. Use specific examples to demonstrate your expertise in these areas.
Craft a Compelling Cover Letter: In your cover letter, express your passion for solving complex problems with data. Mention your experience with LiDAR and signal processing, and explain how your background aligns with the role's requirements.
Showcase Relevant Projects: If you have worked on projects involving machine learning or data-driven solutions, be sure to include them in your application. Describe your role, the technologies used, and the outcomes achieved.
Highlight Communication Skills: Since excellent written and verbal communication skills are essential for this role, provide examples of how you've effectively communicated complex ideas in previous positions or projects.
How to prepare for a job interview at Humand Talent
✨Showcase Your Python Skills
Be prepared to discuss your experience with Python in detail. Highlight specific projects where you've used Python for image processing or data analysis, and be ready to demonstrate your coding skills if asked.
✨Understand Signal and Image Processing
Brush up on the fundamentals of signal and image processing techniques. Be ready to explain how you would approach solving complex analytical challenges using these methods, as this is a key part of the role.
✨Familiarise Yourself with LiDAR and Data Sources
Research LiDAR technology and its applications. Understand how it integrates with other data sources and be prepared to discuss how you would manage and analyse large datasets in your work.
✨Prepare for Collaborative Scenarios
Since the role involves working in a team, think of examples where you've successfully collaborated on projects. Be ready to discuss your experience with version control systems like Git and how you handle code reviews and teamwork.
