National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Carbon Data Scientist

Furthr | B Corp
London
6 days ago
Create job alert

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'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.


The Opportunity


We’re looking for an innovative, proactive, Junior Carbon Data Scientist to help us to 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 Responsabilities


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 £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 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.

Related Jobs

View all jobs

Senior Data Scientist

Senior Data Scientist

Data Scientist

Project Manager - Carbon Data

Carbon Analyst

Waste Engineer

National AI Awards 2025

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

LinkedIn Profile Checklist for Data Science Jobs: 10 Tweaks to Elevate Recruiter Engagement

Data science recruiters often sift through dozens of profiles to find candidates skilled in Python, machine learning, statistical modelling and data visualisation—sometimes before roles even open. A generic LinkedIn profile won’t suffice in this data-driven era. This step-by-step LinkedIn for data science jobs checklist outlines ten targeted tweaks to elevate recruiter engagement. Whether you’re an aspiring junior data scientist, a specialist in MLOps, or a seasoned analytics leader, these optimisations will sharpen your profile’s search relevance and demonstrate your analytical impact.

Part-Time Study Routes That Lead to Data Science Jobs: Evening Courses, Bootcamps & Online Masters

Data science sits at the intersection of statistics, programming and domain expertise—unearthing insights that drive business decisions, product innovation and research breakthroughs. In the UK, organisations from fintech and healthcare to retail and public sector are investing heavily in data-driven strategies, fuelling unprecedented demand for data scientists, machine learning engineers and analytics consultants. According to recent projections, data science roles will grow by over 40% in the next five years, offering lucrative salaries and varied career paths. Yet many professionals hesitate to leave their current jobs or pause personal commitments for full-time study. The good news? A vibrant ecosystem of part-time learning routes—Evening Courses, Intensive Bootcamps and Flexible Online Master’s Programmes—empowers you to learn data science while working. This comprehensive guide explores every pathway: foundational CPD units and short courses, hands-on bootcamps, accredited online MScs, plus funding options, planning strategies and a real-world case study. Whether you’re an analyst looking to formalise your skills, a software developer pivoting into data or a manager seeking to harness data-driven decision-making, you’ll find the right route to fit your schedule, budget and career goals.

The Ultimate Assessment-Centre Survival Guide for Data Science Jobs in the UK

Assessment centres for data science positions in the UK are designed to replicate the multifaceted challenges of real-world analytics teams. Employers combine psychometric assessments, coding tests, statistical reasoning exercises, group case studies and behavioural interviews to see how you interpret data, build models, communicate insights and collaborate under pressure. Whether you’re specialising in predictive modelling, NLP or computer vision, this guide provides a step-by-step roadmap to excel at every stage and secure your next data science role.