Data Analyst with strong Data Scientist skills
ING Nederland
Data Analyst with strong Data Scientist skills
Data Analyst with strong Data Scientist skills needed for Retail Banking Analytics team in Amsterdam. Involves hybrid role in credit acceptance, personalisation, and pricing projects, requiring 4+ years in financial sector and expertise in Python, Pyspark, SQL, and statistics. Offers hybrid working, pension scheme, and 25-28 vacation days.
Data Analyst with strong Data Scientist skills
Data Analyst with strong Data Scientist skills needed for Retail Banking Analytics team in Amsterdam. Involves hybrid role in credit acceptance, personalisation, and pricing projects, requiring 4+ years in financial sector and expertise in Python, Pyspark, SQL, and statistics. Offers hybrid working, pension scheme, and 25-28 vacation days.
Salary
Core Qualifications
Technical (Must-have)
Soft Skills
Key Responsibilities
- Extract business insights from data
- Develop full data science pipeline
- Collaborate with cross-functional teams including product managers, engineers, marketers and data scientists
- Work on credit acceptance modelling and funnel analysis
- Develop complex reporting tools covering credit risk and collections funnels, including monitoring data quality and integrity
- Be part of customer interaction team to develop propensity to buy models and design, implement and analyse A/B tests
- Analyze test results using statistical methods to derive actionable insights and make data-driven recommendations
- Present findings and recommendations to stakeholders in a clear and concise manner