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- Tasks: Join us as a Junior Carbon Data Scientist, transforming data for sustainability solutions.
- Company: Furthr is a leading consultancy focused on reducing environmental impact through innovative tech.
- Benefits: Enjoy hands-on mentoring, a pension scheme, and annual field trips to conservation sites.
- Why this job: Make a real impact on climate change while developing your skills in a supportive environment.
- Qualifications: A degree in Data Science or related fields; coding experience in Python and SQL is a plus.
- Other info: Work in our London office ~3 days a week and drive meaningful change for the planet.
The predicted salary is between 28800 - 48000 £ per year.
Furthr is a leading sustainability consultancy and tech platform committed to helping businesses reduce their environmental impact and transition to more sustainable practices. We specialise in providing comprehensive solutions for measuring and managing carbon footprints, aligning with international standards such as the Greenhouse Gas Protocol, as well as decarbonisation plans for forward-looking teams. Since our inception, we've driven significant decarbonisation efforts globally, funded extensive reforestation and climate-impact projects, and facilitated the removal of hundreds of thousands of tons of carbon from the atmosphere.
We’re looking for an innovative, proactive, Junior Carbon Data Scientist to help us streamline our data collection and analysis process, transforming small and large datasets into manageable formats for import into our software. You’ll also be supporting the design and automation of data pipelines, building predictive models, and piloting new tools. We’ll teach you the environmental context - your superpower is data, code, and a knack for creating reliable, repeatable solutions.
- Data driven carbon footprint measurement (Scopes 1, 2 & 3)
- Predictive modelling & scenario analysis to help clients plan net-zero pathways
You’ll be our in-house champion for improving offline data processes, standardising imports into our platform, and proposing new tools and techniques to level-up how we work.
Data Collection and Transformation- Ingest and clean CSV datasets (e.g. via Excel Power Query, VBA or comparable ETL tools)
- Automate routine data-prep steps where possible
- Write prompts for AI tools to organise and standardise data
- Support with developing new tools and scripts (including Python, SQL, AI/LLM-based helpers) then use, validate and refine these tools on an ongoing basis
- Apply the GHG Protocol (Scopes 1-3) using our in-house calculator and external factor libraries
- Build models for Net-Zero pathways and reduction strategies
- Support on pulling data from APIs or internal platforms into automated reports and dashboards
- Develop templated outputs (spreadsheets, slide decks, PDFs) that update with minimal manual effort
- Continuously review existing workflows, suggest new tools (no-code, scripting, AI/LLMs) and drive pilots
Bachelor’s degree or equivalent in Data Science, AI, Computer Science, Engineering, Maths and Physics or related field; coding-bootcamp grads or self-taught programmers welcome. Practical experience or coursework in coding (Python, SQL). Excel power-user (Power Query, VBA, SQL or Office Scripts a plus). Understanding of AI/LLM tools for data cleanup or automation (GCS and BigQuery). Strong analytical mindset and attention to detail - comfortable working with imperfect data. Excellent written and verbal communication - able to explain technical methods in plain English. Exposure to machine learning or statistical modelling libraries. Familiarity with the Greenhouse Gas Protocol and basic carbon-accounting principles.
We’re a London-based team and we encourage you to work alongside us in the office ~3 days a week. Hands-on mentoring from sustainability experts. Accelerated development with the opportunity for you to drive change and take ownership of projects in an exciting and fast-paced environment. Furthr App personal climate account & project funding. Pension scheme. Annual field trips to reforestation & conservation sites. Training & upskilling budget, plus monthly in-person events and bi-weekly virtual learning sessions.
You will thrive with us if you have that core drive to help our planet and to restore our world's nature. We offer financial incentives of course, but if you’re searching for purpose too, then we’d really like to talk to you.
Contact Detail:
Furthr | B Corp™ Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist - Machine Learning, AI, Python
✨Tip Number 1
Familiarise yourself with the Greenhouse Gas Protocol and carbon accounting principles. Understanding these concepts will not only help you in interviews but also demonstrate your commitment to sustainability, which is crucial for a role at Furthr.
✨Tip Number 2
Brush up on your Python and SQL skills, especially focusing on data manipulation and automation. Being able to showcase your coding abilities through practical examples or projects can set you apart from other candidates.
✨Tip Number 3
Engage with the latest trends in AI and machine learning tools that can aid in data cleaning and automation. Showing that you're proactive about learning and applying new technologies will resonate well with the innovative culture at Furthr.
✨Tip Number 4
Network with professionals in the sustainability and data science fields. Attend relevant events or webinars to connect with people who work at Furthr or similar companies, as personal connections can often lead to job opportunities.
We think you need these skills to ace Data Scientist - Machine Learning, AI, Python
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data science, machine learning, and Python. Emphasise any projects or coursework that align with sustainability and carbon footprint measurement.
Craft a Compelling Cover Letter: In your cover letter, express your passion for sustainability and how your skills can contribute to Furthr's mission. Mention specific tools and techniques you are familiar with, such as Excel Power Query or Python, and how you can apply them to improve data processes.
Showcase Your Analytical Skills: Provide examples of how you've used data analysis to solve problems or improve processes in previous roles or projects. Highlight your attention to detail and ability to work with imperfect data, as these are crucial for the role.
Demonstrate Communication Skills: Since excellent written and verbal communication is essential, ensure your application clearly explains your technical skills in plain English. You might also want to include examples of how you've communicated complex ideas to non-technical audiences.
How to prepare for a job interview at Furthr | B Corp™
✨Show Your Passion for Sustainability
Furthr is all about making a positive impact on the environment, so make sure to express your enthusiasm for sustainability during the interview. Share any personal projects or experiences that demonstrate your commitment to reducing carbon footprints and promoting eco-friendly practices.
✨Demonstrate Your Technical Skills
As a Data Scientist, you'll need to showcase your coding abilities, particularly in Python and SQL. Be prepared to discuss specific projects where you've used these skills, and consider bringing examples of your work or even a small project that highlights your data transformation and analysis capabilities.
✨Prepare for Problem-Solving Questions
Expect questions that assess your analytical mindset and problem-solving skills. Practice explaining how you would approach cleaning and transforming datasets, automating processes, or building predictive models. Use clear, straightforward language to demonstrate your ability to communicate complex ideas effectively.
✨Familiarise Yourself with the GHG Protocol
Since the role involves applying the Greenhouse Gas Protocol, it’s crucial to have a solid understanding of its principles. Brush up on Scopes 1, 2, and 3, and be ready to discuss how you would apply this knowledge in practical scenarios to help clients achieve their net-zero goals.
