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English is required · B2 level
Description
Accenture Poland is hiring a Data Scientist to join its AI & Data practice of 200+ Poland-based specialists. The role focuses on designing and delivering data-driven solutions that turn complex enterprise data into actionable insights and intelligent products. The work sits at the intersection of classical ML and Generative AI, leveraging LLMs as a force multiplier in data science workflows. The position offers a permanent contract with a flexible hybrid arrangement and a comprehensive benefits package.
Responsibilities
Build and deploy machine learning models that solve real business problems at scale for enterprise clients
Design and implement advanced analytics pipelines from data exploration and feature engineering through production deployment
Leverage GenAI and LLMs to augment data science workflows including conversational analytics and automated insight generation
Translate business requirements into data science approaches, selecting methods and communicating results to stakeholders
Collaborate with engineers, architects, and consultants on cross-functional project teams contributing to solution design
Requirements
Solid knowledge of probability theory and statistics
Min. 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 rigorous validation
Experience with ML frameworks and libraries (scikit-learn, XGBoost, PyTorch, TensorFlow)
Practical experience with data wrangling, feature engineering, and working with large-scale datasets
Familiarity with LLMs and Generative AI (Text-to-SQL, data summarization, conversational analytics)
Proficiency with AI-assisted development tools (Cursor, Copilot, or similar) as core daily workflow
Experience with cloud platforms (AWS, Azure, or GCP) for model deployment and data processing
Good command of English (min. B2+)
Bonus: Experience building NLP solutions or working with text data at scale
Bonus: Hands-on experience with RAG pipelines, embeddings, or vector databases
Bonus: Familiarity with MLOps practices, experiment tracking (MLflow, Weights & Biases), and CI/CD for ML
Bonus: Experience with data visualization tools (Power BI, Tableau, Streamlit)
Bonus: Knowledge of containerization and API tooling (Docker, FastAPI, Flask)
Bonus: Understanding of Responsible AI principles — fairness, explainability, bias mitigation
Conditions
Flexible hybrid: mix of remote work most of the time, onsite at client, or in Accenture office
Permanent employment contract
Individual People Lead support with coaching session available
Comprehensive training package: soft skills, technical, language training, e-learning, GenAI training, co-financing courses and certifications
Employee Assistance Program with legal, financial and psychological consultations
Employee Share Purchase Plan with quarterly dividends
Private medical care and life insurance
Worksmile benefits platform including Multisport card