Senior Data Scientist — ML, MLOps & Generative AI

Accenture PLC; Warszawa; Hybrid; PLN 180,000 - 280,000; Full time

Benefits offered by this job

Permanent contract

Development path with People Lead and/

Training package and coaching

Employee Assistance Program

Employee Share Purchase Plan

Referral program

Private medical care & life insurance

Worksmile access + Multisport

Job summary

Accenture Poland seeks a data scientist / ML engineer to design and develop machine learning and predictive analytics solutions, validate results, and translate business needs into analytics objectives. You will build scalable solutions using Python, PySpark, cloud platforms, and ML frameworks for large datasets.

The role offers flexible work arrangements, collaboration with clients and peers, and exposure to Responsible AI and Generative AI use cases.

Qualifications

• Minimum 4 years of professional experience in Data Science, ML, Data Engineering, or related area.
• Bachelor’s degree or higher in Computer Science, Mathematics, Statistics, Data Science, or another relevant technical field.
• Strong hands-on skills in Python and PySpark, data wrangling, feature engineering, distributed processing, and large-scale datasets.
• Solid knowledge of ML, predictive modeling, statistics, and probability with libraries such as scikit-learn, XGBoost, PyTorch, or TensorFlow.
• Experience with MLOps including experiment tracking tools like MLflow or Weights & Biases, CI/CD for ML models.
• Strong experience with cloud platforms (AWS, Azure, or GCP) for deployment and data processing.
• Experience working with clients, translating business requirements into analytic objectives and communicating findings.

Responsibilities

• Design and develop machine learning and predictive analytics solutions, selecting modeling approaches and validating results.
• Work directly with clients to understand business needs, translate into analytics objectives, communicate findings, and recommend actions.
• Build scalable analytical solutions using Python, PySpark, cloud platforms, and ML frameworks with large datasets.
• Apply MLOps, model deployment, CI/CD, and Responsible AI principles, ensuring model explainability and continuous progress.
• Explore Generative AI use cases like Text-to-SQL, data summarization, and conversational analytics, staying curious and learning.

Skills

Python

PySpark

ML libraries

MLOps

Cloud platforms

Client collaboration

Responsible AI

LLMs / Generative AI

AI development tools

English (C1)

Education

Bachelor's degree or higher in CS/Math/Stats/Data Science

Tools

Databricks

NLP / text data

RAG pipelines

Embeddings / vector databases

Power BI / Tableau / Streamlit

Docker / FastAPI / Flask

Kaggle / open-source projects

Job description

Accenture Poland seeks a data scientist / ML engineer to design and develop machine learning and predictive analytics solutions, validate results, and translate business needs into analytics objectives. You will build scalable solutions using Python, PySpark, cloud platforms, and ML frameworks for large datasets.

The role offers flexible work arrangements, collaboration with clients and peers, and exposure to Responsible AI and Generative AI use cases.