Senior Data Scientist; Band 3​/SEO

Location:

Bootle;
Buxton Salary: 47,686 - 54,453 per year Employment:
Full time Category:
Health And Safety Posted:
Valid to:

Employer:

Health and Safety Executive Job summary

This pivotal role will significantly contribute to HSE’s mission to prevent death, injury, and ill-health in Great Britain's workplaces.

As a Data Scientist, you will be instrumental in developing robust analytical data sources and creating tools to help synthesise health and safety data. You’ll be part of an analytical team working closely with HSE's technical and regulatory specialists. You’ll be part of an analytical team that works alongside other HSE technical and regulatory specialists to ensure that HSE is able to access and synthesise data from several text rich data sources.

This work helps to generate and enhance the available evidence to support decisions made in health and safety across a wide range of industry sectors.

This is an exciting opportunity to support innovative work within government. Together with the widest range of health and safety specialists in Britain, you’ll be helping to protect thousands of people, whilst working in an inclusive environment where all our people can thrive and be themselves.

Working Pattern Part time working hours are available for this role. We can accept part time applicants who can commit to working a minimum of 30 hours per week. Travel This post can be based in any of the advertised HSE locations. However, there is the expectation that you will travel to other HSE offices across Great Britain periodically with some overnight stays for team meetings and to meet business need.

For details of HSE locations please see hereHSE Offices.

Job description

Key Responsibilities Designing, developing, and refining Natural Language Processing (NLP) applications

Developing and refining analytical data sources to support decision-making within the Health and Safety Executive.

Creating tools and techniques to extract, transform, and load data from various sources into analytical formats

Working closely with programme leads and stakeholders to ensure that analytical approaches are sensible, and outputs are aligned with end-user expectations.

Presentation, documentation, and visualisation of findings to key decision-makers.

Contributing to an overall strategy for data analysis and evidence generation within HSE.Person specification

Essential Skills and Criteria Extensive knowledge of Python and Python text analysis libraries

Experience in designing and executing quality assurance, benchmarking, and evaluation frameworks for Machine Learning and Large Language Models (LLMs).

Experience of developing Artificial Intelligence (AI) workflows

Previous experience as a text analyst, data scientist, or other similar role Experience leading a project team Ability to communicate at all levels to both technical and non-technical audiences.

Ability to successfully work as part of a project, defining and working to agreed deliverables and time frames.

Proficiency with Machine Learning frameworks and libraries (e.g., PyTorch, Keras, scikit-learn) and integration of open-source models (e.g., Hugging Face).Hybrid Working At HSE, we are proud to be able to offer our people the opportunity to work in a hybrid way which combines working from home and the office. This is a voluntary, non-contractual arrangement, and your allocated office will be your contractual place of work.

There will be a requirement to travel to the office for various activities, e.g., collaborative working, supporting and training colleagues. If hybrid working is suitable for you and your role, you will be expected to attend the office, or other business-related site, for 60% of your working week. The arrangements will be determined…