Unibloom | B Corp™
Intern: LCA & Machine Learning 3-6 month
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W E ’ R . H I R I N G — L C A & M L I N T E R N S H I P
Wrong data. Big decisions. Ridiculous, right?
Join Unibloom as our next LCA & Environmental Data Engineer Intern — and help us fix it.
Take real ownership from day one — and grow into a full-time role.
T H E R I D I C U L O U S P R O B LE M
Imagine sourcing soy from Poland but calculating its impact using French data — because that’s all you can find. Poland’s electricity still relies heavily on coal.
Using the wrong country’s data to make a multimillion-pound sourcing decision? Pretty ridiculous.
Unibloom is the innovative data company for sustainable procurement — making trusted climate and sourcing data instant, accessible and easy to act on. We help companies cut procurement costs while accelerating their climate transition. Founded by Anna Sandgren (former global business developer at Ben & Jerry’s), we’re a team of scientists, LCA experts, ML specialists and AI engineers — already a trusted data partner to SAP and a major Swedish consultancy group, focused on food and fashion.
A hybrid role at the intersection of Lifecycle assessment, Environmental data, Data engineering & automation, Product development, ML data preparation, Scientific QA, Customer analysis
Five things you’ll drive
- Produce defensible LCA and emissions analyses.
- Develop reliable, reusable environmental datasets and data pipelines.
- Protect the scientific quality of Unibloom’s products.
- Support emissions-prediction and automated-LCA capabilities.
- Make scientific knowledge reproducible — less dependent on any one person.
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LCA & Environmental Data Engineer Internship
ARE YOU THE FIT?
You don’t need to be a production software engineer or ML researcher — but you must be technically capable and able to translate precise scientific and data requirements for engineers and ML colleagues.
ESSENTIAL
- Studying toward or recently completed a degree in environmental engineering, sustainability, environmental science, agricultural science, data science or similar.
- Strong grasp of LCA: functional units, system boundaries, lifecycle stages, emission factors.
- Sustainability knowledge beyond carbon emissions.
- Confident working with quantitative environmental / scientific data.
- Strong Excel or Google Sheets skills (formulas, lookups, structured tables, data-quality checks).
- Sharp eye for missing values, duplicates, outliers and formatting issues in messy datasets.
- Careful with units, locations, years, sources and metadata.
- Structured research skills across papers, technical reports and database docs.
- Clear written communication; documents sources, assumptions and work done.
- Asks questions and flags uncertainty rather than guessing.
- Professional working proficiency in English.
- Manages assigned tasks independently under scientific supervision.
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DESIRABLE
- LCA or product carbon footprint coursework, dissertation or project experience.
- Familiarity with ISO 14040 / 14044 / 14067.
- Mass and energy balance calculations.
- Know-how in CSRD, EUDR, SBTi or similar regulation.
- Agricultural, food, manufacturing, chemical, packaging or supply- chain data experience.
- Scope 3, product carbon footprint or supplier emissions exposure.
- ecoinvent, Agri-footprint, Agribalyse, ADEME/Base Carbone or similar databases.
- openLCA, SimaPro, GaBi/Sphera or another LCA tool.
- Python, MATLAB or other programming languages.
- Experience cleaning and combining multi-source datasets.
- Basic understanding of ML datasets — features, missing values, validation.
- Prior start-up, research group or multidisciplinary team experience.
YOU’LL HELP FIX
a ridiculous data problem — from day one.
CO M M IT M ENT
Part-time or full-time, 3–6 months
LOCATION
Flexible — Norrsken, Stockholm or remote
REPORTS TO:
CSO Dr Johnson Lau (London/Hong Kong)
START DATE:
ASAP
HOW TO APPLY:
anna.sandgren@unibloom.world · subject: “LCA INTERN application”
Apply by 7 September
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