Faculty Fellowship Programme - Data Science - October 2026
Tasks
- Apply statistical learning concepts
- Build regression models
- Communicate results effectively
- Compose project plan and meet deadlines
- Develop data science models
- Handle natural language processing tasks
- Implement machine learning solutions
- Optimize model performance
- Perform hypothesis testing
- Present project outcomes on Demo Day
- Train neural networks
- Train random forest models
- Train support vector machines
- Use Bayesian inference
Perks/Benefits
- Dental coverage
- Enhanced parental leave
- Family-friendly flexibility
- Flexible working
- Hybrid working
- Paid experience
- Private healthcare
- Sanctus coaching
- Unlimited Annual Leave Policy
Skills/Tech-stack
Bayesian Inference | Data Science | Hypothesis Testing | Language Processing | Machine Learning | Natural Language | Natural Language Processing | Neural Networks | Optimization | Python | Random Forest | Regression | Statistical Learning | Support Vector Machines | Vector machines
Education
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