Data Analyst With Strong Data Scientist Skills

ING

Amsterdam, Netherlands
Not specified; 25-28 vacation days; pension scheme...
Hybrid
Strong background in statistics
Experience with boosting algorithms
Fluent coding in python pyspark sql
ING is seeking a Data Analyst with strong data science skills to join their Retail Banking Analytics team in Amsterdam. The role involves extracting business insights and developing data science pipelines for projects related to credit acceptance and personalization, with a focus on collaboration and continuous learning

Job Summary

  • This hybrid role involves optimizing product funnels, developing complex reports, and designing A/B tests while also building full data science pipelines using tree-based approaches.
  • The team consists of over 15 highly skilled Data Scientists dedicated to analytics lending, pricing, and personalization within ING's Retail Banking Analytics Chapters.
  • Candidates will collaborate with cross-functional teams including product managers, engineers, and marketers to derive actionable insights from credit risk and marketing data.

Matching Summary

Match Score: 85

ING is seeking a Data Analyst with strong data science skills to join their Retail Banking Analytics team in Amsterdam. The role involves extracting business insights and developing data science pipelines for projects related to credit acceptance and personalization, with a focus on collaboration and continuous learning.

Salary

Not specified; 25-28 vacation days; Pension scheme; 13th month salary; 8% Holiday payment

Skills & Requirements

Must-have

  • Strong background in statistics
  • Experience with boosting algorithms
  • Fluent coding in Python Pyspark SQL
  • 4 years financial sector experience
  • Domain knowledge in credit risk or collections

Nice-to-have

  • Master degree in econometrics
  • Excellent communication skills
  • Curious and continuous learning mindset
  • Collaborative team environment
  • Experience with propensity to buy models

Key Requirements

  • At least 4 years of experience in the financial sector
  • Strong background in statistics
  • Experience building classifiers based on boosting algorithms
  • Fluency in Python, Pyspark, and SQL

Work Rights

Not specified

Tailored Resume

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