Data Scientist

13 октября 2026 г.

Гибрид

Middle

Warsaw, Poland

Стоит учесть

Английский обязателен
уровень B2

Описание

A global professional services company's AI & Data practice in Poland unites over 200 specialists and works with major cloud and data platform vendors. The Data Scientist designs and delivers data-driven solutions that turn complex enterprise data into actionable insights and intelligent products for enterprise clients, combining classical machine learning with GenAI and LLMs. The work location is flexible: mostly remote, with some onsite time at a client or company office.

Обязанности

Build and deploy machine learning models and analytical solutions that solve real business problems at scale for enterprise clients
Design and implement advanced analytics pipelines – from data exploration and feature engineering through model training, evaluation, and production deployment
Leverage GenAI and LLMs to augment data science workflows: conversational analytics, Text-to-SQL, automated insight generation, and intelligent data exploration over enterprise datasets
Translate business requirements into data science approaches – selecting the right methods, validating assumptions, and communicating results to both technical and non-technical stakeholders
Collaborate with engineers, architects, and consultants on cross-functional project teams, contributing to solution design and technical direction

Требования

Solid knowledge of probability theory and statistics
Min. 3 years of commercial experience in Data Science, Machine Learning, or a related analytical role
Strong Python skills and advanced SQL knowledge
Solid foundation in statistics, machine learning, and predictive modeling – able to select the right approach and validate results rigorously
Experience with ML frameworks and libraries (e.g., scikit-learn, XGBoost, PyTorch, TensorFlow)
Practical experience with data wrangling, feature engineering, and working with large-scale datasets
Familiarity with LLMs and Generative AI – understanding how to leverage foundation models for analytical tasks (e.g., Text-to-SQL, data summarization, conversational analytics)
Proficiency with AI-assisted development tools (e.g., Cursor, Copilot, or similar) – we expect these to be a core part of your daily workflow, not an occasional add-on
Experience with cloud platforms (AWS, Azure, or GCP) for model deployment and data processing
Good command of English (min. B2+)
Experience building NLP solutions or working with text data at scale
Hands-on experience with RAG pipelines, embeddings, or vector databases in analytical contexts
Familiarity with MLOps practices, experiment tracking (e.g., MLflow, Weights & Biases), and CI/CD for ML models
Experience with data visualization tools and building analytical dashboards (e.g., Power BI, Tableau, Streamlit)
Knowledge of containerization and API tooling (Docker, FastAPI, Flask)
Understanding of Responsible AI principles and model fairness, explainability, and bias mitigation
Contributions to open-source projects, published research, or Kaggle competition experience

Условия

Flexible work: mostly remote, with some onsite time at a client or company office
A permanent employment contract
Individual support of a People Lead and a clearly defined path of professional development, including the possibility of a session with a Coach
A comprehensive training package including soft skills, technical and language training, e-learning platforms, Gallup test, GenAI training, and co-financing of courses and certifications
Employee Assistance Program offering legal, financial and psychological consultations
Employee Share Purchase Plan with eligibility for quarterly dividends
Paid employee referral program
Private medical care and life insurance
Access to the Worksmile benefits platform including the Multisport card

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