Data Science Jobs in Exeter

• Exeter
• £25,000 – £45,000 pa
• Entry level

A self-paced traineeship that takes complete beginners through AI fundamentals, Python, data handling, machine learning and Git/GitHub, culminating in the Microsoft AI-900 Azure AI Fundamentals certification. Learners complete two tutor-assigned industry projects to build a portfolio, then are matched to a Junior AI Engineer role within 20 miles of their location.

Azure · Git · GitHub

• Exeter
• £21,805 pa
• Contract

Develops a multiscale Scientific Machine Learning digital-twin framework to predict thermal trajectories, torque capability and efficiency in low-speed, high-torque electric propulsion under extreme duty cycles. Combines physics-informed hybrid architectures (DNNs, neural state-space models, Neural ODEs) with safety-constrained dynamometer experiments at the Centre for Future Clean Mobility, in collaboration with marine power-systems company Ecomar Innovations.

Neural Ordinary Differential Equations · Deep Neural Networks · Recurrent Neural Networks +1

• Exeter
• £21,805 pa
• Entry level
• Contract

Develop next-generation machine learning models to predict genetic interactions from large-scale perturb-seq data, evaluating graph neural networks, autoencoders and joint gene embeddings. The project is purely computational, with experimental pancreatic cancer data supplied by the AstraZeneca and Cancer Research Horizons Functional Genomics Centre for a lab-in-the-loop validation cycle.

Perturb-seq · DepMap · Project Score

• Exeter
• £21,805 pa
• Entry level
• Contract

An interdisciplinary PhD developing miniaturised, low-power sensing hardware co-designed with AI for field monitoring of wild animals, including individual recognition and automated behavioural and physiological quantification. Systems are benchmarked under controlled conditions then validated on wild jackdaws and West African field sites, spanning behavioural ecology, electronic engineering and data science.

Thermal Imaging · Cameras · Microphones

• Exeter
• £21,805 pa
• Entry level
• Contract

Develops and tests an integrated sensing and modelling framework for predicting fine-scale forest microclimate in Amazonia, combining low-cost sensor networks, physics-based models and machine learning with Lidar and satellite data. The role involves sensor calibration, model validation, uncertainty propagation and possible fieldwork in Brazil, with scope to emphasise hardware, modelling or data science.

R · Python · Lidar +1