Data Scientist, Growth (12 month contract)
Core
Lead the design, development, deployment, and operationalization of advanced analytics and machine learning solutions to support growth, customer experience, and commercial decision-making in banking.
Role type
Senior IC machine learning engineer (growth analytics)
Builds
Production ML models, scalable data pipelines, experimentation frameworks, and cloud-based analytical workflows for pricing, engagement, and recommendation systems.
Domain
Financial services / Machine Learning / Growth Analytics
Deliverable
production ML models
Required skills
Python, SQL, Spark, statistical analysis, causal inference, experimental design, model deployment, cloud platforms, Git/CI/CD, feature engineering
Preferred skills
Experience migrating ML assets between cloud platforms, mentoring team members, building reusable analytical frameworks
Technologies
Python, SQL, Spark, Google Cloud Platform, Microsoft Azure, Microsoft Fabric, AWS, Git
Responsibilities
Lead machine learning model development for growth initiatives; Design and maintain scalable data pipelines and feature engineering frameworks; Develop and evaluate experimentation frameworks (A/B testing, uplift measurement); Perform feature engineering, model selection, validation, and monitoring; Partner with product, engineering, and business teams to operationalize model outputs; Lead migration and modernization of models and workflows from Microsoft Fabric/Azure to Google Cloud Platform; Design production-ready ML solutions with automated retraining and monitoring; Validate migrated solutions by reconciling data and model results; Create reusable analytical frameworks and shared code libraries; Mentor team members and support knowledge transfer.