Data Scientist and Associate Data Scientist
4 weeks ago
We are seeking a highly skilled Data Scientist to join our team at the UK Centre for Ecology & Hydrology. As a Data Scientist, you will play a crucial role in developing and implementing semantic web approaches to advance data interoperability and metadata management across our digital assets.
About the RoleYou will be responsible for exploiting data science techniques such as semantic data modelling, natural language processing, and the use of ontologies to add value and meaning to data. You will also research and develop novel and reusable approaches to enhance discoverability of UKCEH data and assets, specifically large-scale, long-term environmental data.
Key Responsibilities- Develop and implement semantic web approaches to advance data interoperability and metadata management
- Exploit data science techniques to add value and meaning to data
- Research and develop novel and reusable approaches to enhance discoverability of UKCEH data and assets
- Work closely with the Environmental Data Science team to embed semantic data science tools and techniques into the Digital Research Infrastructure
- Good degree in an appropriate subject (e.g., data science, environmental science, or computer science)
- PhD or equivalent relevant experience
- Knowledge and experience of semantic data models and semantic technologies
- Demonstrable experience in the use of semantic data science techniques
- Aptitude for learning new data science technologies and techniques
- Effective communication and collaboration skills
- Scientific programming skills (e.g., Python, R)
- 27 days annual leave, rising to 29 days after five years, plus 3 days for our Christmas closure
- 10% employer pension contribution
- Enhanced maternity and paternity leave (subject to qualifying requirements)
- 24 hour, 365-day access to support with physical, mental, social, health, or financial issues
- Flexible working opportunities
We are an equal opportunities employer and welcome applications from all qualified candidates. If you are passionate about data science and want to make a difference in the environmental sector, please apply for this exciting opportunity.
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