Remote Data Scientist: GenAI & Enterprise ML

Accenture PLC; Warszawa; Hybrid; PLN 180,000 - 300,000; Full time

Benefits offered by this job

Private medical care

Life insurance

Multisport card

Worksmile platform access

Job summary

Accenture plc is looking for a Data Scientist to design and deliver data-driven solutions that turn complex enterprise data into actionable insights and intelligent products. You will combine strong analytical foundations with practical engineering skills and leverage GenAI to enhance data science workflows.

The role involves building scalable models, designing end-to-end pipelines, and collaborating across cross-functional teams in a flexible setup that may include remote work, onsite client

Qualifications

• 3+ years in Data Science, ML or Data Engineering with Python and PySpark.
• Strong foundation in machine learning, statistics and probability.
• Experience with MLOps and experiment tracking (MLflow or Weights & Biases).
• Cloud experience (AWS/Azure/GCP) for model deployment and data processing.
• Familiarity with LLMs/GenAI in analytics and AI-assisted tooling.

Responsibilities

• Build and deploy ML models and analytical solutions for enterprise clients.
• Design analytics pipelines from data exploration to production deployment.
• Leverage GenAI to augment data science workflows and intelligent data exploration.
• Translate business needs into DS approaches and validate assumptions.
• Collaborate with engineers, architects, and consultants on cross-functional teams.

Skills

Python

PySpark

MLOps

Cloud platforms

LLMs

GenAI

Statistics

English B2+

Education

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

Tools

Databricks

Docker

FastAPI

Streamlit

Job description

Accenture plc is looking for a Data Scientist to design and deliver data-driven solutions that turn complex enterprise data into actionable insights and intelligent products. You will combine strong analytical foundations with practical engineering skills and leverage GenAI to enhance data science workflows.

The role involves building scalable models, designing end-to-end pipelines, and collaborating across cross-functional teams in a flexible setup that may include remote work, onsite client