Data Scientist

2 weeks ago

Abingdon, Oxfordshire, United Kingdom Mirico Full time

About usMirico is an innovative company providing state-of-the-art laser technology solutions for greenhouse gas (GHG) emissions monitoring over large open areas, enabling businesses and industries to achieve their net-zero climate goals. We have demonstrated GHG monitoring solutions in a variety of applications and sites, both domestic and international, across the oil & gas, environmental, agricultural, and public utility sectors over several years. With public interest in GHG reduction and government pledges to reduce GHGs, such as methane by 30% by 2030, the demand for GHG monitoring solutions to protect our climate is now greater than ever.To meet this rapidly growing demand Mirico is expanding its technology and data analytics, and there is an opportunity for a data scientist to join our talented team of engineers, scientists, and business development staff.About youYou will play a key role in advancingMirico's GHG emissions analytics, helping to develop and refine the pipelines that underpin our insights — includingdetection, total site quantification, andgas modelling for source localisation and emission estimation. Using your strong analytical and problem-solving skills, you will work with complex real-world datasets from field deployments and apply a combination ofBayesian inference, machine learning, anddata-driven modelling techniquesto deliver robust, interpretable results.We are looking for ahands-on, experienced data scientistwho can quickly understand our domain, work independently, and bring proven expertise in developing and improving analytical workflows. Working closely with the Mirico team, you will help drive thenext stage of our gas-modelling and ML capability, validate and enhance existing algorithms, and translate advanced analytics into actionable insights for customers via theMirico Insightscloud platform.Job Description and ResponsibilitiesAnalyse and interpret greenhouse gas emissions data from Mirico field deploymentsContribute to the development and enhancement of key analytics pipelines, including:Detectionof emission events (signal processing, anomaly detection, ML classification)Gas modellingfor source localisation and quantificationTotal site quantificationof emissionsResearch and apply machine learning and AI methods to complement physics-based models, improve detection sensitivity, and automate performance assessmentTake a key role in advancing Mirico's gas-modelling capability , driving innovation in localisation accuracy and emission estimationCollaborate with software engineers to integrate and validate analytical models within the Mirico Insights cloud platformWork with field and business teams to assess site suitability , support deployments, and deliver actionable insightsProduce technical reports and presentations for internal and customer-facing useKnowledge, Experience, and SkillsPhD in Data Science, Applied Mathematics, Physics, Engineering, Computer Science or a related quantitative discipline or BSc with >2 years of professional experience as a data scientist (or similar)Strong understanding of model development, validation , and deployment in research or production settingsAble to deliver production quality data science codeAble to work autonomously , quickly understand new scientific domains, and focus on what matters most analyticallyExcels in a collaborative, applied-science environment that values analytical creativity and critical thinkingStrong problem-solving and conceptual reasoning skills; able to diagnose and resolve complex issues logicallyEffective time management and ability to prioritise across multiple projectsExperience with scientific software development in python and associated tools (Git, CI/CD, testing)Existing right to work in the UKDesirableExperience with machine learning, AI-driven pattern recognition , or anomaly detection in environmental or sensor dataExperience in atmospheric dispersion, Gaussian plume , or advection–diffusion modellingKnowledge of probabilistic ML or hybrid modelling (combining physics and data-driven approaches)Familiarity with Bayesian inference, MCMC , or probabilistic programming frameworks (e.g., PyMC, Stan, or TensorFlow Probability)Operating data science/ML workloads at scale using tools such as Argo Workflows, Prefect or similarExperience working with geospatial data (e.g., GeoPandas, Shapely, Rasterio)Knowledge of laser spectroscopy or optical sensing dataExperience developing interactive visualisations or dashboards (e.g., Plotly, Dash, Streamlit)Willingness to travel within the UK and internationally as required

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