Data Scientist (AI&Data)

Accenture is a leading global professional services company with approximately 791,000 people serving clients in more than 120 countries. The AI&Data team in Poland has over 250 specialists working with tech partners like Microsoft, AWS, Google, Oracle, and Snowflake to implement data and analytics solutions from strategy to implementation.

• Minimum 3 years of commercial experience in Data Science, Machine Learning, or related analytical role
• Strong Python skills and advanced SQL knowledge
• Solid foundation in statistics, machine learning, and predictive modeling with ability to select and validate approaches
• Experience with ML frameworks and libraries such as scikit-learn, XGBoost, PyTorch, TensorFlow
• Practical experience with data wrangling, feature engineering, and large-scale datasets
• Familiarity with LLMs and Generative AI for analytical tasks like Text-to-SQL, data summarization, conversational analytics
• Proficiency with AI-assisted development tools (e.g., Cursor, Copilot)
• Experience with cloud platforms (AWS, Azure, or GCP) for model deployment and data processing
• Good command of English (minimum B2+)

Nice to have:

• Experience building NLP solutions or working with text data at scale
• Hands-on experience with RAG pipelines, embeddings, or vector databases
• Familiarity with MLOps practices, experiment tracking (MLflow, Weights & Biases), and CI/CD for ML models
• Experience with data visualization tools and building dashboards (Power BI, Tableau, Streamlit)
• Knowledge of containerization and API tooling (Docker, FastAPI, Flask)
• Understanding of Responsible AI principles including model fairness, explainability, and bias mitigation
• Contributions to open-source projects, published research, or Kaggle competition experience

• 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 including conversational analytics, Text-to-SQL, automated insight generation, and intelligent data exploration
• Translate business requirements into data science approaches, validate assumptions, and communicate results to technical and non-technical stakeholders
• Collaborate with engineers, architects, and consultants on cross-functional project teams contributing to solution design and technical direction

Accenture does not discriminate employment candidates on the basis of race, religion, color, sex, age, disability, national origin, political beliefs, trade union membership, ethnicity, denomination, sexual orientation or any other basis impermissible under Polish law. Inclusion and diversity are fundamental to the company culture and core values. By applying, candidates consent to personal data processing under GDPR by Accenture Sp. z o.o. or other Accenture group entities.