Data Scientist
Tasks
- Apply code review testing and continuous delivery
- Build and improve LLM and agentic AI systems
- Contribute to technical discussions and requirements
- Design evaluation frameworks
- Explain model results to non-technical audiences
- Implement retrieval-augmented generation
- Prepare models for production deployment
- Train, tune, and evaluate models
- Wrangle and analyze legal data
Perks/Benefits
- Cycle to work scheme
- Employee resource groups
- Enhanced parental leave
- Fertility support
- Flexible working
- Life assurance
- Online therapy access
- Online wellbeing programs
- Pension scheme
- Private medical
- Remote work options
- Study leave allowance
- Tech scheme
- Vision coverage
- Volunteer days
- Wellness day
Skills/Tech-stack
Agentic AI | Agile | Code review | Context engineering | Continuous Delivery | Data Analysis | Data Wrangling | Development Lifecycle | Language Models | Language Processing | Large Language Models | Machine Learning | Natural Language | Natural Language Processing | NumPy | Pandas | Python | Retrieval-Augmented Generation | Scikit-learn | Software Development Lifecycle | Software development | Statistical modeling | Unit Testing
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
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