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Data Scientist - Environmental Insights

ADLIB
Posted 12 hours ago, valid for 15 days
Location

York, North Yorkshire YO60, England

Contract type

Full Time

In order to submit this application, a Reed account will be created for you. As such, in addition to applying for this job, you will be signed up to all Reed’s services as part of the process. By submitting this application, you agree to Reed’s Terms and Conditions and acknowledge that your personal data will be transferred to Reed and processed by them in accordance with their Privacy Policy.

Sonic Summary

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  • Join a pioneering nature tech start-up as a Data Scientist, focusing on turning biodiversity data into actionable insights.
  • The role requires 5+ years of experience in data, analytics, or business intelligence, with strong Python skills and proficiency in Google Cloud Platform.
  • You will develop impactful dashboards for sustainability and agriculture clients, utilizing tools like Looker Studio or Power BI.
  • The position offers a salary of up to £75,000, depending on experience, within a collaborative and mission-driven team environment.
  • This is an on-site role based in London or York, ideal for someone who thrives in a fast-paced, agile setting.
Turn biodiversity data into insight at a pioneering nature tech start-up
  • Use Python & GCP to analyse real-world environmental sensor data.
  • Create impactful dashboards for sustainability and agriculture clients.
  • Join a fast-growing, purpose-driven team with real-world impact.
We’re working with a pioneering nature tech start-up that’s using acoustic sensor technology and cloud data to support sustainability in agriculture, food production, and land management. Their innovation helps monitor pollination and biodiversity in real time, with the goal of improving environmental outcomes and reducing harm to nature.They’re now looking for a Data Scientist who can turn rich environmental data into meaningful insights. This is an on-site role (London or York office), ideal for someone who enjoys working at pace, loves problem-solving, and wants to make a visible impact in a mission-driven setting.What you’ll be doingYou’ll lead the development of insightful dashboards that interpret complex sensor data, using Python, Google Cloud Platform, and data visualisation tools like Looker Studio or Power BI. You’ll work closely with commercial, product, and field teams to uncover trends, evidence impact, and communicate findings clearly across the business.This is a highly collaborative and hands-on role, ideal for someone who thrives in a small, agile team where everyone pitches in. Your work will shape internal decision-making, support marketing efforts, and bring real-world commercial and environmental value to clients.What experience you’ll need to apply
  • 5+ years' experience in data, analytics, or business intelligence
  • Strong Python skills and experience analysing large datasets
  • Confidence working with cloud-based platforms (Google Cloud Platform preferred)
  • Experience building dashboards using Looker Studio or Power BI
  • Ability to communicate data stories clearly to non-technical teams
  • Proactive and comfortable working in a fast-paced, unstructured environment
  • Bonus for web development experience or background in agriculture, environment
What you’ll get in returnA salary up to £75,000 (DOE) withing a tight-knit and colleabative environment in a flat structure. They’re looking for on-site working, as they are a founder driven and a strong environment with a great office culture. In this role, you’ll be part of a fast-growing, purpose-led start-up doing something truly innovativeWhat’s next?Apply with your updated CV! If it’s a strong fit, we’ll set up an initial call to share more and talk you through the next steps.

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In order to submit this application, a Reed account will be created for you. As such, in addition to applying for this job, you will be signed up to all Reed’s services as part of the process. By submitting this application, you agree to Reed’s Terms and Conditions and acknowledge that your personal data will be transferred to Reed and processed by them in accordance with their Privacy Policy.