You explore data, build models and turn the results into practical recommendations.
Key Responsibilities
- Explore and clean datasets to answer business questions
- Build and test statistical and machine learning models
- Create charts and dashboards that explain the findings
- Work with engineers to put useful models to use
- Document methods, assumptions and limits
Required Skills
- A solid grounding in statistics and Python
- Good SQL and data visualisation skills
- Curiosity and a careful approach to testing results
- Clear communication of technical ideas
Nice to Have
- Experience with Jupyter, pandas and scikit-learn
- A degree in a quantitative subject
Tools and technologies: Python; pandas and Jupyter; SQL; Data visualisation
How to prepare
- Bring a project where you went from raw data to a conclusion
- Revise hypothesis testing and common modelling pitfalls