Field Ecologist
Listed on 2026-01-13
-
Science
Environmental Science, Ecology
AiDASH Greater London, England, United Kingdom
AiDASH is an enterprise AI company and the leading provider of vegetation risk intelligence for electric utilities. Powered by proprietary Vegetation
AI™ technology, AiDASH delivers a unified remote grid inspection and monitoring platform that uses a Satellite First approach to identify and address vegetation and other threats to the grid. With a prevention‑first strategy to mitigate wildfire risk and minimize storm impacts, AiDASH helps more than 140 utilities reduce costs, improve reliability, and lower liability across their networks. AiDASH exists to safeguard critical utility infrastructure and secure the future of human
AIty™.
We are a Series‑C growth company backed by leading investors, including Shell Ventures, National Grid Partners, G2 Venture Partners, Duke Energy, Edison International, Lightrock, Marubeni, and others. We have been recognized by Forbes two years in a row as one of “America’s Best Startup Employers.” We are also proud to be one of the few software companies in Time Magazine’s “America’s Top Green Tech Companies 2024.”
Deloitte Technology Fast 500™ recently ranked us among San Francisco Bay Area companies, and No. 59 overall in their selection of the top 500 for 2024.
We are seeking a motivated Field Ecologist for a 1‑year contract to conduct ground verification of our AI and satellite‑powered Biodiversity Net Gain assessments. This is an exceptional opportunity to future‑proof your ecology career by developing expertise at the intersection of nature and technology—spending most of your time outdoors conducting surveys while mastering cutting‑edge BNGAI software that eliminates the administrative burden typically associated with ecological work.
WhatMakes This Opportunity Unique
- Technology Meets Nature: Master BNGAI software and automated reporting systems while spending the majority of your time conducting ground surveys across diverse landscapes in the UK.
- Career Future‑Proofing: Build expertise in AI‑powered ecological assessment early in your career—a skillset that will become increasingly valuable and set you apart from peers as technology transforms the profession.
- Learn from the Best: Work alongside experienced ecologists in our Solutions Consultant team who bring diverse expertise.
- Autonomy & Growth: Manage your own survey schedule and travel with significant independence, while having support when you need it.
- Conduct field‑based verification surveys across the UK using our BNGAI Ground Survey app to validate AI and satellite‑powered biodiversity assessments.
- Support finalisation of BNG Baseline reports based on ground survey data collected through our automated systems.
- Work autonomously to manage your survey schedule and travel arrangements.
- Collaborate with our Solutions Ecology team to improve our technology based on your field observations.
- During periods of reduced survey requirements, support customer inquiries and ecology‑related tasks remotely.
- Contribute practical field insights that enhance our product capabilities and assessment methodologies.
- Apply your ecological knowledge to help validate and refine AI‑generated habitat classifications.
Professional Credentials
- Degree in Ecology, Environmental Science, or a related field.
- Associate or full member status with CIEEM (Chartered Institute of Ecology and Environmental Management).
- Valid UK driving licence.
Technical Skills
- Demonstrated experience conducting Biodiversity Net Gain assessments or ground verification work.
- Ability to work with end customers.
- Solid knowledge of UK habitat classification systems.
- Understanding of BNG metrics and calculations.
- Comfortable learning and using field‑based technological tools and applications.
Field Experience
- Proven ability to conduct ecological surveys independently.
- Strong time management and self‑organisation skills.
- Health and safety awareness in field environments.
- Comfortable working outdoors in variable British weather conditions.
Mindset & Approach
- Enthusiasm for technology and innovation in ecological practice.
- Curiosity about how AI can complement traditional field ecology.
- Wil…
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