Senior Data Scientist

You’ll be working as part of a newly formed data science team, focusing on spatial analytics and multi-sensor data fusion.

This role sits at the intersection of applied statistics, machine learning, geospatial data, and mathematical modelling, with a strong emphasis on solving real-world problems, particularly around quantifying and managing uncertainty across multiple data sources.

What You’ll Be Doing

• Developing algorithms for spatial data correlation and fusion
• Analysing and integrating multi-sensor datasets
• Applying statistical techniques (Bayesian methods, Kalman/particle filtering, and other uncertainty quantification approaches) to improve predictions and manage uncertainty across data sources
• Building machine learning models for classification, regression, and tracking
• Performing feature engineering and dimensionality reduction on spatial data
• Building tools to visualise and validate model outputs
• Working closely with engineers to deploy models into production systems

• Strong background in applied statistics, spatial data science, or a related quantitative field
• Experience working with Python; geospatial libraries (GeoPandas, GDAL, Rasterio etc.) are a plus but not essential
• Solid understanding of statistical modelling and uncertainty quantification, e.g. Bayesian methods, Kalman or particle filtering
• Experience working with complex or large-scale datasets
• Ability to work in a cross-functional engineering environment
• Experience deploying models into production systems

Technify Talent have partnered with a growing technology business developing advanced data-driven systems that operate in complex, real-world environments.