CARBONAI LIMITED
Data Scientist
Get notified of more jobs like this · No spam, ever
How your CV stacks up
Upload your CV to see how well it fits this job role
?%
Data Scientist
Location: Remote, with occasional visits to the London office
Type: Full-time
Reports to: Head of Data Science
About CarbonAI
CarbonAI is a sustainability intelligence platform helping organisations make better-informed decisions on ESG, carbon markets, and sustainability. We combine data, AI, and expert research across ratings, indicators, dashboards, and AI research tools.
The Role
We are looking for a hands-on Data Scientist to develop and validate data and AI prototypes that help customers understand complex sustainability and carbon-market information.
You will work with product, engineering, sales, and sustainability experts to explore customer needs, test new ideas, and provide clear prototypes and requirements for Engineering to implement in production.
What You Will Do
- Develop and validate data-science, NLP, and AI prototype workflows, including extracting and structuring information from sustainability reports, carbon-project documents, methodologies, registries, and regulatory materials.
- Contribute to improvements in AI-powered features and analytical tools using retrieval, document-analysis, and information-extraction capabilities.
- Support predictive modelling, data-quality checks, and geospatial analysis across climate, environmental, and carbon-market datasets.
- Help translate client feedback and customer workflows into product requirements, working alongside product and sales colleagues.
- Contribute to R&D on emerging data and AI approaches, and on sustainability and carbon-market trends, using customer and market insights to suggest new product capabilities or improvements.
- Work with Engineering to provide validated prototypes, implementation requirements, and evaluation criteria, and communicate findings clearly to colleagues and, where appropriate, clients.
Reasons to use Rodeo
Start with a chat, not a search bar
Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.
It searches the market for you
Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
What We Are Looking For
Essential
- Roughly 2-4 years of commercial experience in data science, AI engineering, or a closely related role.
- Strong Python and SQL skills, plus practical experience in NLP, machine learning, and statistical modelling.
- Experience working with unstructured documents and extracting reliable information from complex text.
- Strong communication and collaboration skills, with the ability to work effectively with engineers, product teams, sales, and sustainability experts.
- A customer-minded, proactive, and innovative approach: you investigate problems, raise useful questions, and bring practical ideas informed by customer and market needs.
- You use Claude as a daily working partner, not an occasional tool, to multiply your productivity across brainstorming, research, analysis, coding, and testing. You understand what it can and cannot do, validate its outputs, and remain accountable for the final work.
- Authorised to work in the United Kingdom.
Get help with your application
Your very own career expert that helps elevate your application to the next level.
Desirable
- Experience with LLM applications or frameworks, including RAG, embeddings, vector databases, prompt engineering, evaluation, or OpenAI APIs.
- Experience in carbon accounting, sustainability reporting, ESG data, carbon markets, climate risk, or environmental data quality.
- Exposure to geospatial data analysis, GIS, or remote-sensing data.
- A relevant master’s degree or equivalent experience.
How You Work
You will thrive here if you:
- Are curious about both the technology and the real-world decision it supports.
- Can work through ambiguity, challenge assumptions constructively, and remain pragmatic and delivery-focused.
- Take responsibility for quality, transparency, and usability, especially where AI outputs inform sustainability or commercial decisions.
What We Offer
- The opportunity to contribute to meaningful AI products in sustainability intelligence and carbon markets.
- Direct exposure to product strategy, clients, and senior decision-making, with scope to grow across data science, AI, and product.
- Flexible remote working, with occasional visits to our London office.
Interview Process
The process includes two interviews: a discussion of your experience and selected projects, followed by a product/problem-solving exercise.
CarbonAI is an equal-opportunity employer. We welcome applications from people with different backgrounds and perspectives.
“It took my CV and asked me questions relevant to understanding what kind of jobs to suggest for me. Suggestions were almost perfect. Jobs were exactly what I’ve been looking for.”
Jessica, London
Location