Data Scientist

Raiffeisen Bank International AG; Warszawa; Presencial; PLN 262.000 - 394.000; Tempo integral

Benefícios oferecidos por esta vaga

Mindgram access

Group Insurance

Employee Capital Plans

Resumo da vaga

Raiffeisen Tech GmbH in Vienna seeks a Data Scientist to bridge Data Science, Data Engineering, and Financial Crime Prevention, delivering ML solutions across banking environments.

You'll develop models, work with large datasets, and collaborate with AML experts and engineering teams in an international setting. The role emphasizes production-ready ML, data quality, and continuous improvement.

Qualificações

• Experience as a Data Scientist, ML Engineer, or similar analytical role.
• Hands-on ML model development and lifecycle management.
• Strong Python and SQL skills with large datasets.
• Familiarity with Databricks or Big Data platforms is a plus.

Responsabilidades

• Develop and enhance ML models supporting AML processes.
• Analyze large-scale datasets and improve model performance.
• Support deployment, monitoring, and maintenance of ML in production.
• Investigate data quality issues across data sources.
• Collaborate with Data Engineers on pipelines, features, and prep.
• Contribute to continuous improvement of analytical solutions.
• Work with AML experts, stakeholders, and tech teams in an international setting.

Conhecimentos

Machine Learning

Python

SQL

Data analysis

Data engineering concepts

Databricks

Data quality

Communication in international teams

Descrição da vaga

We are looking for a Data Scientist. This role offers a unique opportunity to work at the intersection of Data Science, Data Engineering, and Financial Crime Prevention while contributing to solutions used across multiple banking environments.

Join a leading international bank in Vienna and help shape the digital future of the financial industry in Central and Eastern Europe!

The core facts

• Develop and enhance Machine Learning models supporting AML processes.
• Analyze large-scale datasets and identify opportunities to improve model performance and business outcomes.
• Support deployment, monitoring, and maintenance of ML solutions in production.
• Investigate and resolve data quality issues across multiple data sources.
• Collaborate with Data Engineers on data pipelines, feature engineering, and data preparation processes.
• Contribute to the continuous improvement of analytical solutions and operational processes.
• Work closely with AML experts, business stakeholders, and technical teams in an international environment.

Your core competences

• Experience as a Data Scientist, ML Engineer, or in a similar analytical role.
• Hands‑on experience with Machine Learning model development and lifecycle management.
• Strong Python and SQL skills.Experience working with large and complex datasets.
• Understanding of Data Engineering concepts and data pipeline design.Familiarity with Databricks or similar Big Data platforms is a strong advantage.
• Strong analytical and problem‑solving skills, particularly in data quality and data‑driven decision‑making.
• Excellent communication skills and ability to collaborate across international teams

Our culture and benefits

There are a bunch of good reasons why you should join our team.

Work Atmosphere

We focus on respect and friendly relations.

Working Hours

We value flexibility at work.

We work in a historical place.

Stack We Use

Our agile teams work on a wide range of technologies.

We provide you with access to an on-demand platform.

We want to have a good time after work.

Medical Care and More

Your health matters to us.

Mental Health

We offer you access to Mindgram.

Group Insurance and Employee Capital Plans

We want you to feel safe.