As a Data Scientist, your responsibilities will include working with content creators, product teams, and engineering teams to develop and refine agentic AI use cases, optimizing agent performance, and staying updated on the latest advancements in AI, natural language processing, and machine learning.
Requirements
- Prototyping of agentic AI pipelines in restricted environments
- AI Agent Tool Development
- Scoring and evaluation of AI agent performance
- Development of metrics and automated tools for agent deployment
- Feedback and Iteration
- Team Collaborate
- Documenting to enable sharing of knowledge and Best Practices
- Keeping ahead on Strategy
Benefits
- Core bank funding for retirement savings
- Medical and life insurance
- Flexible and voluntary benefits
- Time-off including annual leave, parental/maternity (20 weeks), sabbatical (12 months maximum), and volunteering leave (3 days)
- Minimum global standards for annual and public holiday, which is combined to 30 days minimum
- Flexible working options
- Proactive wellbeing support
- Continuous learning culture
- Inclusive and values driven organisation