In this Data Scientist role, you will help advance HSE’s mission to prevent death, injury and ill-health by building robust data sources and NLP-powered tools to synthesise health and safety information. You will join an analytical team collaborating with technical and regulatory specialists to turn multi-source, text-rich data into evidence for decision-making across sectors. The role offers exposure to innovative government work and cross-functional collaboration to protect workers while contributing to an inclusive workplace. A key hook is shaping data-driven insights at scale to support safety outcomes.
Pay / Benefits
Hybrid working
Civil Service Pension contributions
Learning and development tailored to your role
Flexible working options
Inclusive and diverse culture
Annual leave 185 hours (rising to 222) plus public holidays and extra privilege leave
Responsibilities
Design, develop and refine NLP applications
Develop and refine analytical data sources to support decision-making
Create tools to extract, transform and load data from multiple sources
Collaborate with programme leads and stakeholders to align outputs with user needs
Present, document and visualise findings for decision-makers
Contribute to HSE’s overarching data analysis and evidence-generation strategy
Key requirements
Extensive knowledge of Python and Python text analysis libraries
Experience designing and executing QA, benchmarking and evaluation frameworks for ML and LLMs
Experience developing AI workflows
Previous experience as a text analyst, data scientist or similar
Experience leading a project team
Strong ability to communicate to technical and non-technical audiences
Ability to work within defined deliverables and timeframes
Proficiency with ML frameworks (PyTorch, Keras, scikit-learn) and integration of open-source models (Hugging Face)
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