Data Scientist, Analytics & Modelling
Core
Designing and delivering strategic data products, cloud-native architectures, and predictive models to support financial, regulatory, and operational needs for a multinational bank.
Role type
Senior IC data scientist (analytics & modelling)
Builds
Cloud-native data solutions, reusable data products, and predictive models for Card Partnerships, Loans, and Consumer Banking.
Domain
Financial services / Data engineering & analytics
Deliverable
production ML models | product features | infrastructure
Required skills
Data strategy, cloud-native architecture, SQL, Python, PySpark, data pipeline development, metadata management, Agile delivery, statistical modeling
Preferred skills
AWS services expertise, data governance, stakeholder influence
Technologies
AWS Lambda, Redshift, Confluence, JIRA, pandas
Responsibilities
Define and execute product roadmaps for data assets; architect and implement cloud-native data solutions for legacy migration; build Python-based pipelines for large credit datasets; develop predictive models to support decision-making; maintain metadata catalogs and data lineage documentation; facilitate Agile processes and backlog management.
Seniority
Senior, hands-on IC
