Data Scientist
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Position Overview & Specifications
We intend to help by providing the most detailed global air quality information, showing real-time exposure and actionable future forecasting that enables decisions and mitigations, for the betterment of human health.
Providing a number of data, software and hardware services, our dynamic team has unparalleled air quality expertise in sensor design, pollution modelling and analysis and we use this to provide advice and support to government, industry and the public globally.
Air quality is a fast-growing area of concern and EarthSense has helped the likes of the BBC and ITV promote the dangers of breathing poor air, along with all of our blue-chip, global clients who are taking positive steps to reduce air pollution.
As an outcome of our fast growth, we are looking to recruit a number of highly capable and ambitious individuals, who will enable the next stage of our business evolution, establishing key positions in our exciting company.
We are looking for a talented Data Scientist to oversee data quality operations throughout our worldwide operations. Our Zephyr data monitors record pollution concentrations across 6 continents, and in a wide range of scenarios. We have comprehensive systems to monitor our hardware, and understand when signals go outside of expected bounds. This role will report to our Head of Operations, and will strengthen our identification of data quality issues across the fleet, and implement a range of solutions. This role is ideal for a talented individual with a keen passion for data analytics, and ideally an existing knowledge of atmospheric science. Job Details Job Title: Data Scientist Post details: Full Time Salary: circa £30,000 dependent on experience. Location: Leicester, UK / Hybrid working
Start date: Immediate (flexible depending on candidate) Key Accountabilities
- Review data produced from our network of sensors, and identify any anomalies and areas for improvement.
- Create metrics for our modelled data products in terms of quality, and monitor performance of this product.
- Develop and implement new algorithms to improve air quality measurements from Zephyrs.
- Review all global measurements where reference-grade measurements are available for direct comparison.
- Oversee and manage testing of new algorithms against reference instrumentation.
- Strong grasp of analytical techniques including error analysis and linear and non-linear fitting routines.
- Highly numerate, and able to consider a wide range of statistical and analytical tools in order to optimise data quality in a varied and statistically noisy environment.
- Ability to use APIs to gather data into a bespoke analytical environment, and create automated methodologies to assess and audit data quality.
- Ability to communicate findings effectively within a fast-paced team environment, and propose improvements to operational systems.
- Ability to manage code and data within a structured operational environment (eg. GitHub), and work with colleagues to implement robust peer review of outputs.
- Excellent skills within Office 365, including the use of Excel to quickly review and present datasets.
- Strong programming skills in C/C++/C# or python.
- SQL and similar database methodologies for effective analytics.
- “Big Data” techniques including use of cloud computing methodologies to review large volumes of dynamically-created data.
- Machine Learning and Artificial Intelligence techniques to derive, highlight and statistically characterise patterns in data.
- Graduate or post-graduate qualifications in a numerate discipline (Maths, Computer Science, Natural Sciences).
- Atmospheric science knowledge, ideally including air quality.
- Articulate and able to create professional customer-facing material.
Soft Skills Sought
- Driven and self-motivated.
- Pragmatic and creative thinker.
- Comfortable in fast-paced start-up environment.
- Comfortable helping with any tasks.
- Strong personal integrity.
- Good professional fit within the team and personable.
- Thought Leader - we introduce disruptive technologies to accelerate sustainable urbanisation.
- Passionate about what we do – We genuinely care about the air we all breathe. We’re here to make a difference for every future generation to come.
- We care about our customers – We look after our customers and ensure they are delivered the best service that we can provide.
- Collaboration is key – We work closely with all our peers achieve shared goals.
- Exceptional innovators – We look forward, seeking new and improved ways of doing things, keeping abreast of new technologies available to us.
The interview will include a hands-on challenge and the requirement to demonstrate previous experience at an appropriate level.
EarthSense is an equal opportunities employer and is committed to the safety and wellbeing of all. Application Application is by CV and covering letter, applications with no CV will be disregarded.
Please email a CV and covering letter to: vacancies@earthsense.co.uk stating the job reference.
Applicants MUST already be eligible to work in the UK. Apply
Candidate Selection & Onboarding Process
Application & Resume Screening
Submit your tailored CV/Resume directly to the talent acquisition portal.
Technical & Competency Interviews
Virtual interviews with the hiring manager and multidisciplinary team.
Formal Offer & Benefits Negotiation
Written agreement outlining compensation, equity, retirement vesting, and relocation allowances.
Onboarding & Corporate Integration
Equipment provisioning, team orientation, and commencement of duties.
United Kingdom Right to Work & Skilled Worker Visa Guide
Employment in the United Kingdom requires legal Right to Work verified under the Home Office Points-Based Immigration System:
Sponsoring employers must hold an active Home Office A-rated Sponsor License and assign a valid Certificate of Sponsorship (CoS). Role must meet the general minimum salary threshold (£38,700) or occupation going rate.
Continuous employment under Skilled Worker status establishes eligibility for Indefinite Leave to Remain (ILR) after 5 continuous years, leading to British Citizenship.
Candidate Preparation Blueprint: General
Based on transatlantic hiring benchmarks for Data Scientist roles across EarthSense Systems's corporate sector, successful applicants typically excel across three core dimensions:
Demonstrated portfolio evidence, architecture/system design case studies, or validated professional certifications directly applicable to General.
STAR method competency responses highlighting cross-functional leadership, conflict resolution, and delivering measurable enterprise ROI under tight timelines.
Total compensation expectation aligned within the benchmarked £30,000 - £30,000 bracket, including retirement vesting and health parity.
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