Senior Data Scientist – Applied Machine Learning
Core
Translate customer and business problems into production-ready machine-learning solutions for propensity, personalisation, growth, and retention.
Role type
Senior Applied Machine Learning Engineer
Builds
Predictive models and features for home lending and property services
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), data pipelines, model monitoring, drift detection
Preferred skills
Generative AI, large language models, recommendation systems, NLP, time-series forecasting, MLflow, dbt, R or Scala
Technologies
Databricks, AWS SageMaker, Azure ML, MLflow, Git-based CI/CD, dbt, Streamlit, Power BI, Tableau
Responsibilities
Define analytical objectives, build predictive features, develop and evaluate models, manage full model lifecycle including deployment and retraining, improve data quality and ML Ops practices, collaborate with engineering and product teams (via careerplan.io/jobs/744000153872899-senior-data-scientist-applied-machine-learning-at-lendi-group)
Seniority
Senior, hands-on IC
