Full-time – reports to Head of Impact
3 months fixed term contract (potential to extend)
2 days a week in London office, Euston (Tuesday & Thursday)
Salary £28,000 (Mac provided)
The Provenance Mission
Provenance is on a mission to empower 1 billion citizens to choose products that match their values, and we’re building the tech to make it happen.
Our trusted platform enables transparency on the social and environmental impact of consumer products, and we’re looking for a mission-aligned intern to work closely with our Head of Impact in a support role.
Used by 300+ brands and retailers globally (including Holland & Barrett, Ocado, The Hut Group, MECCA) we are the data layer they need to become discoverable and credible to shoppers, LLMs, and AI agents reshaping how consumers buy. The shift to agentic commerce is happening now and we’re right at the centre of it.
The Role Purpose
Validate product claims against the Provenance Data Standard and turn that expert judgement into the structured rules, schemas and evaluation sets that power Provenance’s AI validation engine. The role combines hands-on claim review (initial focus) with the data structuring work that allows validation to scale, ensuring every claim surfaced to consumers and LLMs is substantiated, current and compliant.
1. Automating the Validation Engine
- Help translate proof point criteria into structured data point field references and deterministic rules, populating the validation logic and flagging where the criteria themselves need sharpening.
- Iterate on validation logic as patterns emerge, for example, moving from boolean to data point capture to get richer evidence from brands, or simplifying to binary where a rule is too ambiguous to apply consistently.
- Building the evaluation layer by curating gold-standard sets of approved and rejected claims with reasoning, so engine output can be tested against expert-validated ground truth as rules and models evolve.
- Schema evolution, identifying where current data structures fail and proposing structural updates.
2. Framework Evolution
- Keep Proof Point criteria current as certification standards, regulation and market practice evolve, so they stay defensible against the latest regulatory bar.
- Support the development of new proof point criteria and validation methodologies for new claim categories Provenance is expanding into. Research potential partnerships that can support its delivery
- Help grow the network of certifying partners whose standards Provenance recognises, identifying credible schemes, and onboarding them into the platform.
- Track regulatory developments across jurisdictions (ECGT, DMCC Act, CMA Green Claims Code, US state-level legislation, ESPR/DPP) and translate implications into concrete updates to the Data Standard, validation rules and customer-facing guidance.
3. Claims validation and dataset integrity
- Responsible for handling the claim approval queue within the appointed timelines, reviewing claims, giving structured feedback to customers and escalating cases internally where necessary.
- Keep Verified claims current: monitor claims expiry across the dataset, run the renewal process with brands, and work with product and engineering to automate detection and renewal wherever possible.
- First Customer Success point of call for complex claims across categories, including conducting further research where required, presenting summarised findings back to the team and feed them back into the Data Standard where new patterns emerge.
- Work closely with Customer Success Manager on onboarding
- Write and maintain the concise, factually precise, and regulator-proof one-liner templates that sit behind each proof point schemes
Background: Final-year undergraduate or recent graduate in environmental science, sustainability, public policy, or a related field. A data-oriented background (environmental data science, geography with GIS, economics) would be a strong differentiator but is not essential, what matters is comfort working with structured information and an instinct for rigour over vagueness.
What you need to be good at
- Structured thinking and the ability to translate qualitative criteria (“is this claim misleading?”) into explicit, repeatable rules
- Interest in how AI systems consume and surface product information
- Attention to detail and consistency
- Ability to read and interpret certification standards, regulatory text, and technical documentation
- Clear, concise written communication
- Comfortable with LLM tooling, using LLMs to draft rules, test edge cases, spot inconsistencies
What would set you apart
- Comfortable modelling structured data. exposure to data structuring, schema design, or working with structured datasets
- Experience using agentic AI tools beyond just a chat interface: research, drafting, structured data tasks
- Familiarity with sustainability certification standards (organic, Fairtrade, carbon, packaging, even at a surface level)
- Familiarity with one of the key focus areas in the Framework: Sustainability, Product Performance, Health & Nutrition
What you’ll take away
- Deep expertise in the claims and regulatory landscape that’s reshaping how brands, retailers and AI systems communicate product credentials, from ECGT and DMCC to certification frameworks across sustainability, health and quality.
- The practical skill of translating expert human judgement into machine-executable rules.
- A front-row seat to how an AI validation engine actually gets built, including the high-leverage work of curating ground truth, spotting where rules fail, and iterating on logic as real data comes through.
- Close work with a small, senior team, with direct visibility into how the product, strategy and commercial motion come together.
25 days annual holiday + birthday off
Wellbeing allowance (£50 per quarter)
YuLife Wellbeing Platform with 24 Virtual GP and Employee Assistance Programme
Mac provided
We believe in equal opportunities
It takes a diverse and inclusive community of passionate, talented and committed people to build a system to enable commerce to be a force for good. We’re an equal opportunity employer, so we welcome applications from people of all backgrounds, with different outlooks and experiences.
