Senior Data Scientist

November 7, 2026

Hybrid

Senior

Warsaw, Poland

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Mandatory office attendance
English is required
C1 level

Description

The employer's Data & Applied Intelligence hub brings together over 250 Poland-based specialists collaborating with Microsoft, AWS, Google, Oracle, and Snowflake. This Senior Data Scientist role covers the end-to-end delivery of machine learning and predictive analytics solutions, scalable analytical pipelines, MLOps practices, and exploration of LLM and Generative AI use cases. The scientist works directly with clients to translate business needs into analytics objectives and communicates findings, building solutions with Python, PySpark, cloud platforms, and ML frameworks.

Responsibilities

Design and develop machine learning and predictive analytics solutions, selecting suitable modeling approaches and rigorously validating results while pursuing continuous learning
Work directly with clients to understand business needs, translate them into analytics objectives, communicate findings, and recommend actions that create business value
Build scalable analytical solutions using Python, PySpark, cloud platforms, and ML frameworks, working with large datasets and applying feature engineering and statistical methods
Apply MLOps practices, experiment tracking, model deployment, CI/CD, Responsible AI principles, and model explainability, demonstrating a commitment to constant progress
Explore how LLMs and Generative AI can support analytics use cases such as Text-to-SQL, data summarization, and conversational analytics

Requirements

Minimum 4 years of professional experience in Data Science, Machine Learning, Data Engineering, or a closely related area
Bachelor's degree or higher in Computer Science, Mathematics, Statistics, Data Science, or another relevant technical field
Strong hands-on skills in Python and PySpark, including data wrangling, feature engineering, distributed processing, and working with large-scale datasets
Solid knowledge of machine learning, predictive modeling, statistics, and probability, with experience using libraries such as scikit-learn, XGBoost, PyTorch, or TensorFlow
Practical experience with MLOps, including experiment tracking tools such as MLflow or Weights & Biases, CI/CD for ML models
Strong experience with cloud platforms (AWS, Azure, or GCP) for model deployment and data processing
Experience working directly with external clients, gathering and translating business requirements into analytical objectives and communicating analytical findings and actionable recommendations
Understanding of Responsible AI, including model fairness, explainability, and bias mitigation, together with knowledge of LLMs and Generative AI and their application to analytical use cases
Proficiency with AI-assisted development tools such as Cursor, Copilot, or similar solutions as part of your development workflow
Fluent English, minimum C1 level
Bonus: Experience with Databricks and building NLP solutions or processing text data at scale
Bonus: Hands-on experience with RAG pipelines, embeddings, or vector databases in analytical use cases
Bonus: Experience with visualization solutions such as Power BI, Tableau, or Streamlit, containerization and API tooling such as Docker, FastAPI, or Flask, or contributions to open-source projects, research, or Kaggle competitions

Conditions

Work on projects for international clients and broaden your expertise across Data Science, Machine Learning, Generative AI, and cloud technologies
Develop your skills by solving analytical problems that connect advanced modeling with real business needs
Collaborate with experienced Data & AI specialists while gaining exposure to different technologies, industries, and analytical use cases
A permanent employment contract
Individual support of a People Lead and a specific path of professional development, as well as the possibility of a session with a Coach
A wide training package including soft, technical, and language training, access to e-learning platforms, Gallup test, GenAI training, and the possibility of co-financing courses and certification
Employee Assistance Program with legal, financial, and psychological consultations
Employee Share Purchase Plan with quarterly dividends for employees who own company shares
Paid employee referral program
Private medical care and life insurance
Access to the Worksmile platform, with a wide range of products and services, including the Multisport card
Full-time employment

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