At a Glance
- Tasks: Transform data into manageable formats and support carbon footprint measurement.
- Company: Furthr is a leading sustainability consultancy focused on reducing environmental impact.
- Benefits: Enjoy a starting salary of £30-35k, flexible office days, and personal climate project funding.
- Why this job: Join a mission-driven team making a real impact on climate change and sustainability.
- Qualifications: Bachelor’s degree in relevant fields or coding bootcamp experience; Python and SQL skills preferred.
- Other info: Hands-on mentoring and opportunities for accelerated development in a fast-paced environment.
The predicted salary is between 30000 - 35000 £ 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 have 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. With hundreds of active business clients and growing international reach, our impact is expanding daily.
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.
We’re looking for you to support:
- Data driven carbon footprint measurement (Scopes 1, 2 & 3)
- Workflow innovation - finding and implementing more efficient, automated ways to handle large, messy datasets
- Support with automated reporting via templates, APIs or lightweight scripts
- 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.
Key Responsibilities
- Data Collection and Transformation
- Ingest and clean CSV datasets (e.g. via Excel Power Query, VBA or comparable ETL tools)
- Standardise irregular inputs into a repeatable pipeline (“raw → final”)
- 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
- Research and validate emission factors, benchmarks and supplier disclosures
- Predictive Modelling & Scenario Analysis
- Build simple models (regression, gap-filling) to forecast emissions and identify hotspots
- 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
- Work alongside platform engineers and senior consultants to integrate best practices
Qualifications & Core Skills
- 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
- Great attention and care for detail
- Self-starter attitude: proactive, resourceful, and eager to learn new technologies
Future Focus
- Exposure to machine learning or statistical modelling libraries
- Familiarity with the Greenhouse Gas Protocol and basic carbon-accounting principles
What We Offer
- Starting salary £30 – 35k, with opportunity for role progression
- 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
Perks & Benefits
- 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.
Carbon Data Scientist employer: Furthr | B Corp™
Contact Detail:
Furthr | B Corp™ Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Carbon Data Scientist
✨Tip Number 1
Familiarise yourself with the Greenhouse Gas Protocol and carbon accounting principles. Understanding these frameworks 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 coding skills, particularly in Python and SQL. Since the role involves data transformation and predictive modelling, showcasing your ability to write clean, efficient code will set you apart from other candidates.
✨Tip Number 3
Gain practical experience with data cleaning and automation tools like Excel Power Query or VBA. Being able to demonstrate your proficiency in these tools during discussions can highlight your readiness to tackle the responsibilities of the position.
✨Tip Number 4
Stay updated on the latest trends in AI and machine learning, especially as they relate to data analysis. Showing that you're proactive about learning new technologies will resonate well with the innovative culture at Furthr.
We think you need these skills to ace Carbon Data Scientist
Some tips for your application 🫡
Understand the Company: Before applying, take some time to understand Furthr's mission and values. Familiarise yourself with their work in sustainability and carbon footprint management. This will help you tailor your application to align with their goals.
Highlight Relevant Skills: Make sure to emphasise your coding skills, especially in Python and SQL, as well as your experience with data transformation and analysis. Mention any relevant coursework or projects that demonstrate your ability to handle large datasets and automate processes.
Showcase Your Passion for Sustainability: Furthr is looking for candidates who are passionate about making a positive impact on the environment. In your cover letter, express your commitment to sustainability and how your skills can contribute to their mission.
Tailor Your CV: Customise your CV to highlight experiences that are directly relevant to the role of Junior Carbon Data Scientist. Use keywords from the job description, such as 'data collection', 'predictive modelling', and 'automation', to ensure your application stands out.
How to prepare for a job interview at Furthr | B Corp™
✨Understand the GHG Protocol
Familiarise yourself with the Greenhouse Gas Protocol and its scopes (1, 2, and 3). Being able to discuss how you would apply this knowledge in practical scenarios will show your understanding of carbon footprint measurement.
✨Showcase Your Data Skills
Prepare to discuss your experience with data collection and transformation. Be ready to explain how you've used tools like Python, SQL, or Excel Power Query to clean and standardise datasets, as this is crucial for the role.
✨Demonstrate Problem-Solving Abilities
Think of examples where you've identified inefficiencies in workflows and proposed solutions. Highlight any experience with automation or developing new tools, as innovation is key to this position.
✨Communicate Clearly
Practice explaining technical concepts in simple terms. The ability to communicate complex ideas clearly will be essential, especially when collaborating with non-technical team members or clients.