Data Scientist | Analytics @ ING Bank
Core
Analyze complex datasets to uncover patterns and develop advanced analytical solutions that improve products, services, and decision-making across Retail Banking.
Role type
Data Scientist (Analytics)
Builds
Scalable, production-ready analytics solutions and machine learning models for Retail Banking.
Domain
Banking / Retail Finance
Deliverable
production ML models | product features | dashboards & analysis
Required skills
Statistical analysis, Machine learning, Python, PySpark, Data cleaning, Feature engineering, Data visualization, Model governance
Preferred skills
None stated
Technologies
Python, PySpark
Responsibilities
Analyze large, complex datasets to identify patterns and trends; Translate business questions into data science problems; Develop and apply advanced analytics including statistical analysis and machine learning models; Build, test, and deploy data products and machine learning models at scale; Perform data exploration, cleaning, transformation, and feature engineering; Deliver clear insights, visualisations, and storytelling to stakeholders; Collaborate with cross-functional teams to align analytics solutions with business goals; Ensure proper model governance including documentation, validation, and monitoring.
Seniority
Mid-level (3–6+ years experience)
