Data Scientist (Machine Learning)

Location: Expo Business Park, Romania; hybrid working model

Company

ING Bank Romania is a technology-driven banking organization serving Retail, SME & Mid-Corporate, and Wholesale Banking customers.

What you will do

• Analyze large and complex datasets to identify patterns, trends, and actionable insights for Retail Banking.
• Translate business questions into data science problems, defining data requirements, analytical approaches, and implementation plans.
• Develop, test, and deploy statistical, predictive, and machine learning models and data products at scale.
• Perform data exploration, cleaning, transformation, and feature engineering to produce high-quality analytical outputs.
• Communicate insights through visualizations and storytelling to technical and non-technical stakeholders.
• Ensure model documentation, validation, monitoring, governance, privacy, security, and ethical use of data and AI models.

Requirements

• Master’s degree in Mathematics, Statistics, Economics, Finance, Computer Science, or another quantitative field.
• 3–6+ years of experience in data science or analytics, including independent work on complex topics.
• Strong knowledge of statistical analysis, data exploration, and machine learning techniques.
• Strong programming experience with Python and PySpark, plus the ability to work with large datasets.
• Experience with data cleaning, modeling, forecasting, pattern recognition, and data visualization.
• Ability to work independently in cross-functional Agile squads and communicate complex analytical trade-offs clearly.

Culture & Benefits

• Hybrid working model with built-in flexibility.
• Inclusive, collaborative, and high-performing analytics community.
• Monthly benefit budget and additional vacation days based on experience.
• Learning opportunities through ING Learning Centre, Udemy, Bookster, training, and certifications.
• Internal mobility opportunities across ING worldwide, including short- and long-term international assignments.
• Opportunities to contribute to sustainability and CSR initiatives.

Hiring process

• Submit an application through ING’s official careers platform and Workday.
• Applications should use official ING or Workday channels; ING does not request payments or banking details during recruitment.