Data Scientist

Volkswagen Financial Services (Poland); Warszawa; Hybrid; PLN 120,000 - 180,000; Full time

Benefits offered by this job

Employment contract

Hybrid work model

Medical package

Multicafeteria

Lunch card

Life insurance

Company products at special price

Training opportunities

Study funding

Job summary

Volkswagen Financial Services (Poland) is seeking a Data Scientist to develop and deploy regression, classification, and clustering models within an international AI team. You will design end-to-end solutions, perform feature engineering, and apply state-of-the-art ML/AI methods including LLMs and GenAI.

The role requires 1–2 years of DS experience, strong Python and data libraries, plus cloud and DevOps familiarity.

Qualifications

• Degree in Statistics, Mathematics, Computer Science, or a related field.
• 1–2 years of experience as a Data Scientist.
• Strong Python skills with pandas, numpy, scikit-learn.
• Solid understanding of ML/AI methods (LLMs, GenAI, neural networks, regression, clustering).
• Basic SQL knowledge and data modeling.
• Familiarity with cloud platforms (AWS/Azure/GCP); Docker, Git, CI/CD a plus.
• Familiarity with GDPR, IT security, and AI ethics.
• Strong communication, teamwork, proactive attitude.
• Fluent English and very good Polish.
• Experience in Agile/DevOps environments.

Responsibilities

• Develop and deploy models for regression, classification, and clustering
• Design end-to-end solutions, including deep learning and reinforcement learning
• Perform feature engineering and optimize model performance
• Analyze and prepare data, ensuring high data quality
• Apply advanced techniques (e.g., Monte Carlo simulations, SHAP) for model insights
• Build scalable solutions in Python
• Automate workflows in Linux environments (shell scripting, Git)
• Design software using functional and object-oriented approaches
• Work with SQL/NoSQL databases and optimize queries

Skills

Python

Pandas

NumPy

Scikit-learn

LLMs/GenAI

SQL

Cloud platforms

Docker

Git

CI/CD

English & Polish

Agile/DevOps

Education

Degree in Statistics/Mathematics/CS

Tools

Docker

Git

CI/CD

AWS

Azure

GCP

Job description

We are a 40-person AI Engineering team turning business ideas into scalable data and AI products. Our mission is to build advanced analytics, machine learning, and AI as core capabilities, delivering value across global markets. We work in an international, agile, interdisciplinary squads using cutting-edge cloud technologies to create real business impact.

Your Responsibilities:

• Develop and deploy models for regression, classification, and clustering
• Design end-to-end solutions, including deep learning and reinforcement learning
• Perform feature engineering and optimize model performance
• Analyze and prepare data, ensuring high data quality
• Apply advanced techniques (e.g., Monte Carlo simulations, SHAP) for model insights
• Build scalable solutions in Python
• Automate workflows in Linux environments (shell scripting, Git)
• Design software using functional and object-oriented approaches
• Work with SQL/NoSQL databases and optimize queries

Our Requirements:

• Degree in Statistics, Mathematics, Computer Science, or a related field
• 1–2 years of experience as a Data Scientist
• Strong Python skills and experience with libraries (pandas, numpy, scikit-learn)
• Solid understanding of ML/AI methods (e.g., LLMs, GenAI, neural networks, regression, clustering)
• Basic knowledge of SQL and data modeling
• Familiarity with cloud platforms (AWS/Azure/GCP), Docker, Git, CI/CD is a plus
• Understanding of GDPR, IT security, and AI ethics
• Strong communication skills, team-oriented mindset, and proactive attitude
• Fluent English, very good Polish language skills
• Experience working in Agile/DevOps environments

We offer:

• Employment contract
• Hybrid work model (3 days a week from the office) and a very good office location (Rondo ONZ 1)
• Medical package (full specialist package with dentistry)
• Multicafeteria - everyone will find something for themselves
• Lunch card
• Life insurance
• Company products and services at a special price
• Interesting trainings
• Study funding