Related skills
sql python pandas airflow scikit-learn📋 Description
- Own ML models end-to-end, production-grade
- Translate business needs into modelling problems
- Build models predicting learner outcomes and demand
- Collaborate with Data Engineers and Insight Analysts
- Productionise pipelines and ML infrastructure
- Communicate insights to stakeholders for action
🎯 Requirements
- 5+ years of data science/ML experience
- Predictive modelling, forecasting or optimisation
- Python + NumPy, Pandas, Scikit-Learn, xgboost, SHAP
- Advanced SQL and data pipelines
- AWS SageMaker and/or Azure; Airflow; Snowflake
- Statistical validity and data security
🎁 Benefits
- Time off: 27 days holiday plus 5 extra days
- Health & Wellness: private medical insurance and life cover
- Hybrid work: office three days per week
- Work-from-anywhere: up to 10 days per year
- Space to connect: weekly catch-ups and events
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