Senior Data Scientist – Applied Machine Learning
Core
Translate customer and business problems into clear analytical and machine-learning objectives and build predictive features for use cases such as propensity, personalisation, growth and retention.
Role type
Senior IC applied machine learning engineer (fintech/property)
Builds
Production ML models and features for home lending and property services
Domain
Fintech / Property / Machine Learning
Deliverable
production ML models
Required skills
Python, probability and statistics, classification, regression, feature engineering, experimentation, model deployment, cloud platforms (Databricks, AWS SageMaker, Azure ML), data pipelines, feature stores, model monitoring, drift detection, ML Ops
Preferred skills
Generative AI, large language models, agentic AI, recommendation systems, NLP, time-series forecasting, financial modelling, MLflow, Git-based CI/CD, dbt, R, Scala, Streamlit, Power BI, Tableau
Technologies
Python, Databricks, AWS SageMaker, Azure ML, MLflow, Git, dbt, Streamlit, Power BI, Tableau
Responsibilities
Translate business problems into ML objectives, develop and evaluate models, take models through the full product lifecycle including deployment and monitoring, improve data quality and feature pipelines, collaborate with product managers and engineers, explain technical approaches to stakeholders
Seniority
Senior, hands-on IC
