Senior AI Data Scientist
VOLKSWAGEN FINANCIAL SERVICES POLSKA SPÓŁKA Z OGRANICZONĄ ODPOWIEDZIALNOŚCIĄ
⚲ Warszawa, Śródmieście
Do uzgodnienia
Wymagania
- Python
- Machine Learning
- Data Science
- SQL
- Data Modeling
- AWS
- GCP
Opis stanowiska
Nasze wymagania:
Master’s degree (or equivalent) in Statistics, Mathematics, Computer Science, or related field
3–5 years of experience in Data Science
Proven ability to work independently, solve problems, and mentor others
Strong expertise in ML/AI (incl. LLMs, GenAI, neural networks, forecasting, etc.)
Advanced Python skills and experience with key libraries (pandas, numpy, scikit-learn)
Experience with ML frameworks (e.g., TensorFlow, PyTorch, Keras, MLflow)
Solid knowledge of SQL, data modeling, and software design principles
Hands-on experience with cloud platforms (AWS/Azure/GCP), Docker, Git, CI/CD
Understanding of GDPR, IT security, and ethical AI
Strong communication skills, proactive mindset, and team orientation
Fluent English, very good Polish language skills
Experience working in Agile/DevOps environments
O projekcie:
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.
Zakres obowiązków:
Design and deliver advanced models (regression, classification, clustering)
Lead end-to-end solutions, including deep learning and reinforcement learning
Drive feature engineering and model optimization
Ensure high-quality data processing and apply advanced techniques (e.g., Monte Carlo, SHAP)
Lead complex, statistics-driven projects
Build and scale Python-based solutions (incl. notebook environments)
Automate workflows in Linux (shell scripting, Git)
Design robust software architectures (functional & object-oriented)
Work with SQL/NoSQL databases and optimize performance
Fine-tune and deploy LLMs for business use cases
Develop LLM-based applications (e.g., copilots, chatbots, summarization tools)
Integrate AI solutions with enterprise systems and APIs
Apply advanced prompt engineering techniques
Evaluate and optimize model outputs (human-in-the-loop & automated methods)
Oferujemy:
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)
Health Academy
Multicafeteria - everyone will find something for themselves ☺
Lunch card
Life insurance
Employee Pension Program
Company products and services at a special price
Interesting trainings
Study funding
Online language classes (English/German)
Master’s degree (or equivalent) in Statistics, Mathematics, Computer Science, or related field
3–5 years of experience in Data Science
Proven ability to work independently, solve problems, and mentor others
Strong expertise in ML/AI (incl. LLMs, GenAI, neural networks, forecasting, etc.)
Advanced Python skills and experience with key libraries (pandas, numpy, scikit-learn)
Experience with ML frameworks (e.g., TensorFlow, PyTorch, Keras, MLflow)
Solid knowledge of SQL, data modeling, and software design principles
Hands-on experience with cloud platforms (AWS/Azure/GCP), Docker, Git, CI/CD
Understanding of GDPR, IT security, and ethical AI
Strong communication skills, proactive mindset, and team orientation
Fluent English, very good Polish language skills
Experience working in Agile/DevOps environments
O projekcie:
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.
Zakres obowiązków:
Design and deliver advanced models (regression, classification, clustering)
Lead end-to-end solutions, including deep learning and reinforcement learning
Drive feature engineering and model optimization
Ensure high-quality data processing and apply advanced techniques (e.g., Monte Carlo, SHAP)
Lead complex, statistics-driven projects
Build and scale Python-based solutions (incl. notebook environments)
Automate workflows in Linux (shell scripting, Git)
Design robust software architectures (functional & object-oriented)
Work with SQL/NoSQL databases and optimize performance
Fine-tune and deploy LLMs for business use cases
Develop LLM-based applications (e.g., copilots, chatbots, summarization tools)
Integrate AI solutions with enterprise systems and APIs
Apply advanced prompt engineering techniques
Evaluate and optimize model outputs (human-in-the-loop & automated methods)
Oferujemy:
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)
Health Academy
Multicafeteria - everyone will find something for themselves ☺
Lunch card
Life insurance
Employee Pension Program
Company products and services at a special price
Interesting trainings
Study funding
Online language classes (English/German)
🔍 Dekoder Ogłoszenia
🔴
Proven ability to work independently, solve problems, and mentor others
Oczekuje się, że będziesz samodzielnie rozwiązywać problemy i pomagać mniej doświadczonym kolegom, nawet jeśli nie jest to formalnie przypisane do Twoich obowiązków.
🔴
Strong expertise in ML/AI (incl. LLMs, GenAI, neural networks, forecasting, etc.)
Może oznaczać zarówno głęboką wiedzę teoretyczną, jak i praktyczne doświadczenie z tymi technologiami, co nie jest jednoznacznie określone.
🔴
Solid knowledge of SQL, data modeling, and software design principles
Wymagana jest nie tylko znajomość SQL, ale także umiejętność projektowania baz danych i stosowania dobrych praktyk inżynierskich.
🟡
Understanding of GDPR, IT security, and ethical AI
Oprócz wiedzy technicznej, oczekuje się świadomości regulacji prawnych i etycznych związanych z danymi i AI.
🟡
We are a 40-person AI Engineering team turning business ideas into scalable data and AI products.
Zespół jest stosunkowo duży, co może oznaczać zarówno dobrą strukturę, jak i potencjalnie więcej biurokracji lub mniej bezpośredniego wpływu na końcowy produkt dla pojedynczej osoby.