Carbon Data Scientist

Carbon Data Scientist

London Entry level 30000 - 35000 ÂŁ / year (est.) Home office (partial)
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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 ÂŁ30-35k, flexible work options, and personal climate project funding.
  • Why this job: Join a mission-driven team making a real impact on climate change while developing your skills.
  • Qualifications: Bachelor’s degree or equivalent in relevant fields; coding experience in Python and SQL preferred.
  • Other info: Hands-on mentoring and opportunities for role progression in a fast-paced environment.

The predicted salary is between 30000 - 35000 ÂŁ 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. 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 on 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
  • Carbon Footprint Measurement
    • 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
  • Future Focus
    • 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
  • Automation & Reporting
    • 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
  • Innovation & Process Improvement
    • 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 ÂŁ30 – 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 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 CorpTM

Furthr is an exceptional employer for those passionate about sustainability and data science, offering a dynamic work culture that fosters innovation and collaboration. With hands-on mentoring from industry experts, employees have ample opportunities for professional growth while contributing to meaningful projects aimed at reducing environmental impact. Located in London, the company provides a supportive environment with perks such as a personal climate account, annual field trips, and a commitment to continuous learning, making it an ideal place for individuals eager to make a difference.
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Contact Detail:

Furthr | B CorpTM 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 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

Showcase your coding skills by working on personal projects or contributing to open-source initiatives. Highlighting your experience with Python and SQL, especially in data transformation and automation, will make you stand out as a candidate.

✨Tip Number 3

Network with professionals in the sustainability and data science fields. Attend relevant workshops, webinars, or meetups to connect with like-minded individuals and learn about the latest trends and tools in carbon data analysis.

✨Tip Number 4

Prepare to discuss innovative ideas for improving data workflows during your interview. Think about how you can leverage AI tools or no-code solutions to enhance data collection and reporting processes, as this aligns with the responsibilities of the role.

We think you need these skills to ace Carbon Data Scientist

Data Collection and Transformation
CSV Data Ingestion and Cleaning
Excel Power Query
VBA Programming
ETL Tools Proficiency
Python Programming
SQL Proficiency
AI/LLM Tool Understanding
Predictive Modelling
Scenario Analysis
Carbon Footprint Measurement
GHG Protocol Knowledge
Analytical Mindset
Attention to Detail
Excellent Communication Skills
Self-Starter Attitude
Process Improvement
Automation Techniques
Reporting Automation
Familiarity with Machine Learning Libraries

Some tips for your application 🫡

Tailor Your CV: Make sure your CV highlights relevant experience and skills that align with the responsibilities of a Carbon Data Scientist. Emphasise your coding abilities, data analysis experience, and any familiarity with carbon accounting principles.

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 demonstrate your ability to handle data and innovate processes.

Showcase Technical Skills: Clearly outline your technical skills in Python, SQL, and Excel, especially any experience with Power Query or VBA. Provide examples of how you've used these tools to solve problems or improve workflows in previous roles or projects.

Highlight Communication Skills: Since the role requires explaining technical methods in plain English, include examples in your application where you've successfully communicated complex information to non-technical audiences. This will show your ability to bridge the gap between data and actionable insights.

How to prepare for a job interview at Furthr | B CorpTM

✨Showcase Your Data Skills

Be prepared to discuss your experience with data collection and transformation. Highlight any projects where you've used Python, SQL, or Excel Power Query to clean and standardise datasets, as this is crucial for the role.

✨Understand Carbon Footprint Measurement

Familiarise yourself with the Greenhouse Gas Protocol and be ready to explain how you would apply it in practice. Demonstrating knowledge of Scopes 1, 2, and 3 will show your commitment to sustainability.

✨Demonstrate Problem-Solving Skills

Prepare examples of how you've innovated or improved workflows in previous roles or projects. Discuss any tools or techniques you've implemented to automate processes or enhance data analysis.

✨Communicate Clearly

Practice explaining technical concepts in simple terms. The ability to convey complex information clearly is essential, especially when collaborating with non-technical team members or clients.

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