Senior Data Scientist (Data & AI)

Accenture

Warsaw, Poland • 33m ago • On-site

Senior

On-site

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Quick Facts

  • Focus: Machine learning, predictive analytics, and Generative AI

  • Work style: Mix of remote (most of the time) and onsite depending on project

Description

Design and develop machine learning and predictive analytics solutions, validate results, and continuously learn from outcomes. Translate client business needs into analytics objectives, communicate insights, and recommend actions that drive business value. Build scalable solutions with Python, PySpark, cloud platforms, and ML frameworks, applying MLOps and Responsible AI practices, including explainability and bias mitigation.

Responsibilities

  • Design and develop ML and predictive analytics solutions with rigorous validation

  • Work with clients to define analytics objectives and recommend actionable next steps

  • Build scalable analytical solutions for large datasets with feature engineering and statistical methods

  • Apply MLOps (experiment tracking, deployment, CI/CD) and Responsible AI principles

  • Explore LLM/Generative AI use cases such as Text-to-SQL, data summarization, and conversational analytics

Requirements

  • 4+ years of professional experience in Data Science, Machine Learning, Data Engineering, or related

  • Bachelor’s degree or higher in a relevant technical field

  • Strong hands-on Python and PySpark skills for data wrangling, feature engineering, and distributed processing

  • Solid machine learning, predictive modeling, statistics, and probability knowledge

  • Experience with ML libraries/frameworks (e.g., scikit-learn, XGBoost, PyTorch, TensorFlow)

  • Practical MLOps experience including experiment tracking (MLflow or Weights & Biases) and CI/CD

  • Experience with cloud platforms (AWS, Azure, or GCP)

  • Experience working with external clients to translate requirements and communicate findings

  • Understanding of Responsible AI (fairness, explainability, bias mitigation) and LLM/Generative AI for analytics use cases

  • Proficiency with AI-assisted development tools such as Cursor or Copilot

  • Fluent English (minimum C1)

Benefits

  • Permanent employment contract

  • Individual development support, professional path, and access to coaching

  • Broad training package (soft, technical, language, e-learning, Gallup test, GenAI training; co-financing for courses/certifications)

  • Employee Assistance Program (legal, financial, psychological consultations)

  • Employee Share Purchase Plan eligibility for quarterly dividends (if owning shares)

  • Paid employee referral program

  • Private medical care and life insurance

  • Access to Worksmile platform (including Multisport card)

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