Data Scientist - Junior/Mid/Senior

• Minimum Bachelor's degree in discipline like Informatics, Physics, Mathematics, Quantitative Methods.
• At least 2 years of experience applying data-driven approaches to business scenarios, including the design and deployment of advanced analytics and machine learning algorithms.
• At least 1 year of experience in delivering analytical projects with top Cloud platforms such as GCP, Azure, AWS.

• Proficient in at least one of programming and query languages like Python, PySpark, SQL.  
• Solid understanding of machine learning and data science techniques including:
  • Clustering, regression, classification, forecasting
  • Neural networks, hyperparameter optimization
  • Natural Language Processing (NLP), Large Language Models (LLMs)

• Ability to translate complex business requirements into robust, data-driven solutions.
• Strong appetite for continuous learning and skill development in emerging AI technologies.
• Professional working proficiency in English.

Research indicates that some candidates, especially the most diverse ones, may hesitate to apply for positions if they don't meet all requirements. If you believe you possess the necessary skills, even if not meeting every requirement, we wholeheartedly encourage you to submit your application.

• Experience with frameworks like XGBoost, lgbm, Prophet, Hyperopt, Keras, PyTorch, TensorFlow, sklearn, LangChain, CrewAI, Open AI API, Hugging Face Transformers or Google ADK.
• Experience with generative AI or agentic AI technologies

• Hands-on experience with Databricks
• Familiarity with MLOps tools and practices such as MLflow, Kubeflow, or Airflow

• Azure Data Science Associate
• Azure AI Engineer
• Google Cloud Professional Data Engineer
• Google Cloud Data Analytics Professional
• Databricks ML Professional

• Location: Our headquarters is in Warsaw, with an additional office in Kraków.
• Flexibility: While most of our work is delivered remotely, our consulting model - through Intelligent Consulting Hub Europe (ICH) - also involves on-site collaboration. You should be willing and able to travel to client locations across Europe (and occasionally beyond) for short or long-term engagements, depending on project needs.
• Hybrid Collaboration: We value in-person time for learning, relationship-building, and team collaboration. As an employer, we aim to be as flexible as possible to support your individual work-life balance and preferences.

Accenture does not discriminate employment candidates on the basis of race, religion, colour, sex, age, disability, national origin, political beliefs, trade union membership, ethnicity, denomination, sexual orientation or any other basis impermissible under Polish law. All our leaders are committed to building a better, stronger and more durable company for future generations to create positive, long-lasting change. Inclusion and diversity are fundamental to our culture and core values. Our rich diversity makes us more innovative and creative, which helps us better serve our clients and our communities. Our position as partner to many of the world’s leading businesses, organizations and governments affords us both an extraordinary opportunity and a tremendous responsibility to make a difference. Sustainability is one of our greatest responsibilities, which we embed it into everything we do and for everyone we work with.

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We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, sexual orientation, gender identity or expression, marital status, citizenship status or any other basis as protected by applicable law. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities.