Data Scientist
Tasks
- Apply machine learning techniques
- Apply reproducibility best practices
- Automate and simplify processes
- Build data pipelines
- Contribute to coding and documentation standards
- Design experimentation and evaluation
- Develop inferential models
- Develop predictive models
- Improve data accessibility and consistency
- Improve data systems for scalability
- Maintain data pipelines
- Mentor analysts
- Partner with stakeholders to shape decisions
- Perform causal inference
- Process and store data on Azure
- Translate technical work into narratives
- Use versioning and automation
Perks/Benefits
- 25 days annual leave
- Bike loans
- Comfortable workspaces
- Employer pension contribution
- Hybrid working culture
- Interest-free season ticket
- Professional development
- Staff affinity networks
- Wellbeing support line
- Work from home technology package
Skills/Tech-stack
Azure | Bayesian | Causal Inference | Data Pipelines | Experiment design | Frequentist | Linux | Machine Learning | Python | R | SQL | Statistical inference
Education
N/A
Roles
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