Data Scientist
Tasks
- Analyze evaluation results and communicate recommendations
- Build LLM based evaluation models
- Build data pipelines for evaluation
- Create observability frameworks and evaluation rubrics
- Design automated QA and evaluation pipelines
- Develop and deploy machine learning models
- Develop prediction models for routing and deflection
- Forecast support demand
Perks/Benefits
- 30 day sabbatical after 3 years
- Annual learning and development budget
- Corporate pension scheme
- Employee referral rewards
Skills/Tech-stack
Calibration | Data Pipelines | Data labeling | Experimentation | Human-in-the-loop | Language Models | Language Processing | Large Language Models | Machine Learning | Metric Design | Model Deployment | Natural Language | Natural Language Processing | NumPy | Observability | Pandas | Prompt engineering | Python | SQL | Scikit-learn | Statistics | The Loop
Education
N/A
Roles
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