Data Science Internship Program (She/He/They)

Accenture is a leading global professional services company with approximately 791,000 employees serving clients in more than 120 countries. The company specializes in Strategy & Consulting, Technology, Operations, Industry X, and Accenture Song, focusing on digital transformation, cloud, data, and AI.

• Active student status with availability of at least 30 hours per week
• Pursuing a degree in Data Science, Computer Science, Mathematics, Statistics, Econometrics, or related quantitative field
• Very good understanding of statistics, probability theory, and fundamental machine learning concepts
• Familiarity with supervised and unsupervised learning techniques
• Programming experience in Python and familiarity with data science libraries such as Pandas, NumPy, and scikit-learn
• Strong analytical, problem-solving, and communication skills
• Good command of English and Polish

Nice to have:

• Experience with time series forecasting
• Knowledge of deep learning and neural networks
• Familiarity with Generative AI and LLM concepts
• Understanding of RAG (Retrieval-Augmented Generation)
• Experience with LangChain or LangGraph
• Familiarity with embeddings, vector databases, or semantic search
• Basic knowledge of SQL
• Experience with cloud platforms, MLOps, or model deployment

• Explore, clean, and analyze datasets to identify patterns and insights
• Apply statistical and probabilistic methods to real-world problems
• Develop, train, and evaluate machine learning and statistical models
• Perform feature engineering and experiment with different modeling approaches
• Work on predictive modeling and time series forecasting problems
• Evaluate model performance and analyze prediction errors
• Support the deployment and monitoring of models in production
• Contribute to experiments with modern AI and Generative AI solutions
• Document work and communicate findings to the team
• Collaborate with Data Scientists, ML Engineers, and business stakeholders

This internship requires active student status and availability of at least 30 hours per week. Candidates must have a good command of English and Polish. The role adheres to an Equal Employment Opportunity Statement prohibiting discrimination based on various protected characteristics.