Data Scientist
Core
Design, train, and monitor Machine Learning models to deliver business value within a DataOps & MLOps strategy for a financial services client.
Role type
Data Scientist (ML Model Lifecycle)
Builds
Production ML models for financial services
Domain
Financial Services / Machine Learning
Deliverable
production ML models
Required skills
Machine Learning (classification, regression, clustering), Python, SQL, Data Engineering, Statistics, Cloud Platforms (GCP/AWS), MLOps basics
Preferred skills
MLOps deployment, Data Science certifications
Technologies
Python, SQL, GCP (Vertex AI/BigQuery), AWS (SageMaker), Jupyter, GIT
Responsibilities
Identify and map model inputs; process and validate data; execute ML model training and evaluation; monitor model performance and data drift; collaborate on model deployment to production; migrate models to cloud analytics platforms; document model maintenance procedures.
Seniority
Mid-level, hands-on IC
