Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Develop advanced techniques for hyperspectral data analysis and optimise machine learning models.
- Company: Purpose-driven start-up leveraging space tech for social impact.
- Benefits: Flexible work options, professional growth, and a chance to make a real difference.
- Why this job: Join a mission-driven team and shape the future of hyperspectral data analysis.
- Qualifications: Expertise in hyperspectral data processing and strong programming skills required.
- Other info: Diversity-focused culture welcoming applicants from all backgrounds.
The predicted salary is between 36000 - 60000 £ per year.
Senior Hyperspectral Scientist (Immediate Start)London (Remote Options Available)
A rapidly growing, purpose-driven start-up leveraging space technology for social and economic impact across the UK is seeking a passionate and experienced individual to join their innovative team and contribute to meaningful change through cutting-edge hyperspectral data analysis.
The OpportunityThis is a critical role for an exceptional hyperspectral data scientist to immediately address key challenges in normalising machine learning efforts applied to satellite imagery. You will be instrumental in ensuring consistent and reliable performance across various datasets, enabling us to achieve our ambitious goals.
This is a truly unique and exciting opportunity to contribute directly to a high-impact project and shape the future of their organisation.
Responsibilities
Develop and implement advanced normalisation techniques for hyperspectral data from satellite imagery.
Optimise machine learning models for hyperspectral data analysis to achieve consistent standards.
Troubleshoot and resolve issues related to data quality, calibration, and processing.
Collaborate with a multidisciplinary team to integrate hyperspectral data into broader analytical workflows.
Contribute to the development of best practices and methodologies for hyperspectral data analysis within the company.
Ideal Candidate
Deep Expertise: Proven expertise in hyperspectral data processing, analysis, and machine learning applications.
Background: Ideally, experience with NASA, the UK Space Agency, or similar organisations focused on remote sensing and earth observation.
Technical Skills: Strong proficiency in relevant programming languages (e.g., Python), hyperspectral analysis software, and machine learning frameworks.
Problem-Solver: Excellent analytical and problem-solving skills with a track record of overcoming complex technical challenges.
Passion: A genuine passion for leveraging space technology to address real-world problems and contribute to positive social and economic impact.
Why Join Us
Purpose-Driven: Contribute to a mission-driven organisation making a real difference in the UK.
Innovation: Work at the forefront of hyperspectral data analysis and machine learning applications.
Impact: Play a critical role in shaping the future of our company and the impact we have on society.
Growth: Opportunity for significant professional growth and development in a rapidly expanding start-up.
Flexibility: Open to various engagement models (contract, consultancy, permanent) and remote work options.
This is a really cool and unique gig!
Diversity & InclusionMirai believes in the power of diversity and the importance of an inclusive culture. It welcomes applications from individuals of all backgrounds, understanding that a range of perspectives strengthens both its team and its partners\’ teams. This is just one of the ways they\’re taking positive action to shape a collaborative and diverse future in the workplace.
#J-18808-Ljbffr
Hyperspectral Scientist employer: Mirai Talent
Contact Detail:
Mirai Talent Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Hyperspectral Scientist
✨Tip Number 1
Network like a pro! Reach out to people in the hyperspectral data field, especially those connected to organisations like NASA or the UK Space Agency. A friendly chat can lead to opportunities you might not find on job boards.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your work with hyperspectral data and machine learning. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on common technical questions related to hyperspectral analysis and machine learning. We want you to feel confident and ready to tackle any challenge they throw your way!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing passionate candidates who are eager to make a difference in the world of space technology.
We think you need these skills to ace Hyperspectral Scientist
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with hyperspectral data and machine learning. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to express your passion for space technology and how you can contribute to our mission. We love seeing genuine enthusiasm, so let your personality come through!
Showcase Problem-Solving Skills: In your application, mention specific challenges you've tackled in hyperspectral data analysis. We’re looking for problem-solvers, so share examples that demonstrate your analytical prowess and creativity!
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’re considered for this exciting opportunity. Don’t miss out on being part of something impactful!
How to prepare for a job interview at Mirai Talent
✨Know Your Hyperspectral Stuff
Make sure you brush up on your hyperspectral data processing and machine learning techniques. Be ready to discuss specific projects you've worked on, especially those involving satellite imagery. This will show your deep expertise and passion for the field.
✨Showcase Your Problem-Solving Skills
Prepare examples of complex technical challenges you've faced and how you overcame them. Highlight your analytical skills and be ready to discuss how you would troubleshoot issues related to data quality or calibration in a real-world scenario.
✨Familiarise Yourself with the Company’s Mission
Understand the purpose-driven nature of the organisation and its focus on social and economic impact. Be prepared to discuss how your values align with theirs and how you can contribute to their mission through your work in hyperspectral data analysis.
✨Collaborate and Communicate
Since this role involves working with a multidisciplinary team, think about how you can demonstrate your collaboration skills. Prepare to discuss past experiences where you successfully integrated data into broader analytical workflows and how you communicate complex ideas to non-technical team members.
