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It’s our mission to seamlessly provide the most detailed global air quality information to improve human health worldwide.

By exposing air pollution in real-time, we deliver actionable insights that empower better decision-making and more effective mitigation strategies.

We’re looking for a Data Scientist to bolster our efforts in ensuring world-class data quality and reliability, playing a central role in shaping the future of our air quality measurement technologies.

It’s our mission to seamlessly provide the most detailed global air quality information to improve human health worldwide.

By exposing air pollution in real-time, we deliver actionable insights that empower better decision-making and more effective mitigation strategies.

We’re looking for a Data Scientist to bolster our efforts in ensuring world-class data quality and reliability, playing a central role in shaping the future of our air quality measurement technologies.

Initially spun out from academia in 2016, EarthSense is revolutionising air pollution management. We combine sensor networks, modelling, and advanced analytics to close data gaps and provide trusted environmental intelligence. Our work empowers governments, researchers, and businesses to tackle poor air quality with clarity and confidence.

Since inception, we’ve achieved 40% year-on-year growth through three core product lines:

• Zephyr – Our cost-effective, innovative air quality monitoring device.
• MappAir – A high-resolution global model of air quality trends.
• MyAir – Our web-based platform providing actionable environmental insights.

As we continue to expand globally, we are strengthening our scientific and technical foundations to ensure that EarthSense remains at the forefront of trusted air quality data.

We’re after someone passionate about data quality, sensor science, and advanced analytics to help shape the future of environmental monitoring.

You’ll play a vital role in ensuring our sensor fleet delivers reliable, regulatory-compliant data, and you’ll apply cutting-edge statistical and machine learning methods to enhance measurement accuracy and unlock new insights.

You’d be responsible for:

• Designing and implementing calibration, validation, and quality control protocols for our air quality sensors.
• Developing test programmes to evaluate and categorise sensor performance.
• Applying machine learning, neural networks, and statistical techniques to optimise data quality, resolve anomalies, and account for drift and environmental interferences.
• Collaborating with hardware engineers, software developers, and fellow data scientists to feed insights back into product development.
• Monitoring and managing co-location studies, expanding our global pool of validation datasets.
• Help steering on compliance and accreditation, ensuring our systems meet standards such as DEFRA (PAS), MCERTS, EU Directives (CEN), and WHO guidelines.
• Acting as a technical expert, guiding both internal teams and customers on data quality, interpretation, and best practice.

Ideally, you’ll have a strong background in environmental data science, instrumentation, or atmospheric measurement, with a proven ability to turn complex datasets into robust insights.

Some of the fundamentals you’d bring are:

• Experience with sensor instrumentation, calibration, and data validation.
• Strong coding skills in Python or R for advanced data processing and analysis.
• Knowledge of machine learning, neural networks, and big data techniques applied to environmental or sensor data.
• Solid understanding of sensor technologies, their limitations, and performance compared with reference instruments.
• Familiarity with air quality measurement standards and regulations (DEFRA, MCERTS, EU directives, WHO).
• Strong communication skills, able to translate technical findings for technical and non-technical audiences alike.

We’d also love if you had:

• Experience working with IoT sensor networks, telemetry systems, or data acquisition frameworks.
• Knowledge of modelling frameworks and integrating sensor data with predictive models.
• An appetite for solving complex environmental challenges through innovation and collaboration.

• Starting salary up to £45k, based on experience, with bonus potential (up to 45% of base salary, yearly).
• 25 days paid leave, plus public holidays, your birthday off, and an extra day per year of service (up to 5).
• Option to buy or sell up to 5 days holiday per year.
• Access to the WeCare health and wellbeing scheme, including physical and mental health support. Prescription eyewear covered.
• Choice of Windows or Mac tech, plus a tax-efficient tech purchase scheme for personal items.
• Exclusive discounts on high-street shopping and the Cycle-to-Work scheme.

Why apply?

This isn’t just another data role, it’s an opportunity to define the gold standard of air quality measurement, apply cutting-edge data science to real-world challenges, and make a global impact in environmental health.

Apply now and help us revolutionise air quality!

Seniority level

• Seniority level

  Entry level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Engineering and Information Technology

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