Senior Data Scientist - Applied Machine Learning
Core
Turn complex customer and business problems into practical, production-ready machine-learning solutions for home lending and property services.
Role type
Senior Applied Machine Learning Engineer
Builds
Propensity models, personalization engines, growth and retention solutions
Domain
Fintech / Property Finance
Deliverable
production ML models
Required skills
Python, probability and statistics, classification, regression, feature engineering, experimentation, model deployment, cloud platforms (Databricks/AWS/Azure), ML Ops, data pipelines
Preferred skills
Generative AI, large language models, agentic AI, recommendation systems, NLP, time-series forecasting, financial modelling, MLflow, dbt, R or Scala
Technologies
Databricks, AWS SageMaker, Azure ML, MLflow, Git-based CI/CD, Streamlit, Power BI, Tableau
Responsibilities
Translate business problems into ML objectives, build predictive features from large datasets, develop and maintain models for propensity/personalization/growth, manage full model lifecycle including monitoring and retraining, improve data quality and ML Ops practices, collaborate with engineering and product teams, present technical results to stakeholders
Seniority
Senior, hands-on IC
