About this role

Own the end-to-end lifecycle of Draivi's machine learning models from feature engineering and model development through to deployment, monitoring and retraining.
Work closely with the Head of Analytics and technical team to shape the ML approach for better real-time decisions.
Build and improve predictive models for revenue prediction, client scoring and medium-term financial forecasting.
Collaborate with backend teams on moving from an analytics batch ML approach to real-time operational predictions.

2–4 years of hands-on ML model development — not just notebooks, but working code.
Practical experience with tree-based methods (XGBoost, LightGBM or similar) and regression models.
Feature engineering experience on tabular data.
Solid SQL skills (BigQuery or equivalent warehouse).
Working understanding of model evaluation, cross-validation and overfitting.
Experience building or contributing to batch ML pipelines.
Comfortable working in an environment where ML infrastructure is still maturing.
Fluent English.

Machine Learning Specialist, Analytics

Key skills