At a Glance
- Tasks: Transform and analyse data to support carbon footprint measurement and reporting.
- Company: Furthr is a leading sustainability consultancy focused on reducing environmental impact.
- Benefits: Enjoy a starting salary of £30-35k, hands-on mentoring, and training budgets.
- 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 equivalent experience; coding skills in Python and SQL preferred.
- Other info: Work in a collaborative environment with opportunities for personal growth and field trips.
The predicted salary is between 24000 - 42000 £ per year.
Who We Are? 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.
The Opportunity 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 (City of London) 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 (City of London)
✨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 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
Engage with online communities or forums related to data science and sustainability. Networking with professionals in the field can provide insights into the latest tools and techniques, as well as potential job leads.
✨Tip Number 4
Prepare to discuss your experience with data cleaning and automation tools. Be ready to share specific examples of how you've streamlined processes or improved data workflows in previous projects, as this aligns closely with the responsibilities of the role.
We think you need these skills to ace Carbon Data Scientist (City of London)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data science, coding (especially Python and SQL), and any familiarity with carbon accounting principles. Use keywords from the job description to demonstrate your fit for the role.
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 projects or experiences that showcase your ability to handle data and innovate processes.
Showcase Technical Skills: Include examples of your technical skills, such as data cleaning, automation, and predictive modelling. If you have experience with tools like Excel Power Query or AI/LLM tools, be sure to mention these as they are relevant to the role.
Demonstrate Communication Skills: Since the role requires explaining technical methods in plain English, provide examples in your application of how you've successfully communicated complex ideas to non-technical audiences. This could be through previous work experiences or academic projects.
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 framework in your role will show your understanding of carbon accounting principles.
✨Showcase Your Coding Skills
Prepare to demonstrate your coding abilities, particularly in Python and SQL. Be ready to discuss any projects or coursework where you've used these languages to manipulate data or automate processes.
✨Highlight Your Analytical Mindset
Be prepared to discuss how you approach problem-solving and data analysis. Share examples of how you've tackled messy datasets and transformed them into usable formats, showcasing your attention to detail.
✨Express Your Passion for Sustainability
Convey your enthusiasm for sustainability and environmental impact. Discuss any relevant experiences or projects that reflect your commitment to helping businesses reduce their carbon footprints.