Data Scientist

Volkswagen Financial Services (Poland)

Warszawa

Hybrid

PLN 110,000 - 170,000

Full time

7 hours ago
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Benefits offered by this job

Medical package
Lunch card
Life insurance
Company products and services at a  - 
Study funding

Job summary

Volkswagen Financial Services (Poland) is hiring a Data Scientist to join a 40-person AI Engineering team in Warsaw. You will develop and deploy models for regression, classification, and clustering, and design end-to-end AI solutions using Python and cloud platforms.

You will work in an Agile/DevOps environment, perform feature engineering, ensure data quality, and apply advanced techniques like SHAP and Monte Carlo simulations. Hybrid work is offered.

Qualifications

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

Responsibilities

  • Develop and deploy models for regression, classification, and clustering.
  • Design end-to-end AI solutions including deep learning and reinforcement learning.
  • Perform feature engineering and optimize model performance.
  • Analyze and prepare data ensuring high data quality.
  • Apply techniques like Monte Carlo simulations and SHAP for insights.
  • Build scalable Python-based solutions and automate Linux workflows.
  • Work with SQL/NoSQL databases and optimize queries.

Skills

Python
Pandas
NumPy
Scikit-learn
English
Polish
Data storytelling
Communication

Education

Degree in Statistics, Mathematics, Computer Science

Tools

Docker
Git
CI/CD

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
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