Raiffeisen Bank International
Senior Data Scientist (Compliance)(m/w/x)
Full-timeWith HomeofficeSenior
Wien
from 67,400 / year
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RARaiffeisen Bank International
Senior Data Scientist (Compliance)(m/w/x)
Wien
from 67,400 / year
Full-timeWith Home OfficeSenior
Nejo AI Summary
Developing ML models for compliance analytics at a CEE bank. Strong SQL and supervised learning experience required. 30 days EU remote work, flexible hours.
Requirements
- Strong analytical and problem-solving mindset
- Statistics knowledge (hypothesis testing, evaluation metrics, class imbalance handling)
- Hands-on experience with supervised learning (feature engineering/selection, hyperparameter tuning, evaluation)
- Experience with data-quality analysis and data profiling
- Strong SQL skills and data modeling experience
- Understanding of banking/transaction data or motivation to learn
- Willingness to create model documentation for regulatory, audit, and validation
- Software delivery basics (Git, code reviews, branching strategies)
- Agile mind-set
- Pro-active attitude and team orientation
- Excellent communication skills
- Structured working approach and problem-solving skills
- Very good command of English (mandatory)
- German is a plus
- Motivation to constantly improve and learn new technologies
Tasks
- Collect and preprocess large datasets from multiple sources
- Develop and implement statistical models and machine learning algorithms
- Analyze data to identify patterns, trends, and correlations
- Create data visualizations and reports to communicate findings
- Collaborate with cross-functional teams to understand business needs
- Deliver data-driven solutions
- Monitor and improve model performance over time
- Stay updated with the latest data science tools and techniques
Work Experience
- approx. 4 - 6 years
Education
- Bachelor's degreeOR
- Master's degree
Languages
- English – Native
- German – Basic
Tools & Technologies
- Delta Lake
- Python
- PySpark
- MLflow
- Git
Benefits
Flexible Working
- Flexible hours
- Work-from-home options from Austria
- 30 days/year remote work from any EU country
Informal Culture
- 75+ nationalities
- English as company language
Free or Subsidized Food
- Subsidized canteen
Mental Health Support
- Well-being programs
Healthcare & Fitness
- Check-ups
- Sport allowances
Corporate Discounts
- Discounts
- Exclusive banking terms
Public Transport Subsidies
- Free public transport pass
Additional Allowances
- Child allowances
Generous Parental Leave
- Gender-neutral parental leave
Childcare
- Bilingual company kindergarten
- Holiday childcare
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Raiffeisen Bank International and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
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RARaiffeisen Bank International
Senior Data Scientist (Compliance)(m/w/x)
Wien
from 67,400 / year
Full-timeWith Home OfficeSenior
Nejo AI Summary
Developing ML models for compliance analytics at a CEE bank. Strong SQL and supervised learning experience required. 30 days EU remote work, flexible hours.
Requirements
- Strong analytical and problem-solving mindset
- Statistics knowledge (hypothesis testing, evaluation metrics, class imbalance handling)
- Hands-on experience with supervised learning (feature engineering/selection, hyperparameter tuning, evaluation)
- Experience with data-quality analysis and data profiling
- Strong SQL skills and data modeling experience
- Understanding of banking/transaction data or motivation to learn
- Willingness to create model documentation for regulatory, audit, and validation
- Software delivery basics (Git, code reviews, branching strategies)
- Agile mind-set
- Pro-active attitude and team orientation
- Excellent communication skills
- Structured working approach and problem-solving skills
- Very good command of English (mandatory)
- German is a plus
- Motivation to constantly improve and learn new technologies
Tasks
- Collect and preprocess large datasets from multiple sources
- Develop and implement statistical models and machine learning algorithms
- Analyze data to identify patterns, trends, and correlations
- Create data visualizations and reports to communicate findings
- Collaborate with cross-functional teams to understand business needs
- Deliver data-driven solutions
- Monitor and improve model performance over time
- Stay updated with the latest data science tools and techniques
Work Experience
- approx. 4 - 6 years
Education
- Bachelor's degreeOR
- Master's degree
Languages
- English – Native
- German – Basic
Tools & Technologies
- Delta Lake
- Python
- PySpark
- MLflow
- Git
Benefits
Flexible Working
- Flexible hours
- Work-from-home options from Austria
- 30 days/year remote work from any EU country
Informal Culture
- 75+ nationalities
- English as company language
Free or Subsidized Food
- Subsidized canteen
Mental Health Support
- Well-being programs
Healthcare & Fitness
- Check-ups
- Sport allowances
Corporate Discounts
- Discounts
- Exclusive banking terms
Public Transport Subsidies
- Free public transport pass
Additional Allowances
- Child allowances
Generous Parental Leave
- Gender-neutral parental leave
Childcare
- Bilingual company kindergarten
- Holiday childcare
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Raiffeisen Bank International and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
Like this job?
BetaYour Career Agent finds similar jobs for you every day.
About the Company
Raiffeisen Bank International
Industry
FinancialServices
Description
The company is committed to providing an excellent customer experience and values diversity and inclusion in its workforce.
Not a perfect match?
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