GenAI‑Driven Data Scientist for Enterprise Impact

Accenture Poland

Województwo mazowieckie

Hybrid

PLN 133,920 - 167,400

Full time

14 days+
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Benefits offered by this job

Paid employee referral program
Private medical care
Life insurance
Access to e-learning platforms
Employee Assistance Program

Job summary

A global professional services firm seeks a Data Scientist in Poland to design and deliver data-driven solutions for enterprise clients. Responsibilities include building machine learning models, implementing advanced analytics, and collaborating across project teams. The ideal candidate has a minimum of 3 years of experience, strong Python and SQL skills, and familiarity with Generative AI technologies. The role offers hybrid work flexibility and a comprehensive training package.

Qualifications

  • Min. 3 years of commercial experience in Data Science, Machine Learning, or a related analytical role.
  • Strong Python skills and advanced SQL knowledge.
  • Solid foundation in statistics, machine learning, and predictive modeling.
  • Practical experience with data wrangling and feature engineering.

Responsibilities

  • Build and deploy machine learning models for enterprise clients.
  • Design and implement advanced analytics pipelines.
  • Collaborate with engineers and consultants on project teams.

Skills

Commercial experience in Data Science
Python
SQL
Statistics
Machine Learning
ML frameworks
Data wrangling
Large-scale datasets
Generative AI
Cloud platforms

Education

Bachelor's degree in a related field

Tools

scikit-learn
XGBoost
PyTorch
TensorFlow
Power BI
Tableau
Docker

Job description

A global professional services firm seeks a Data Scientist in Poland to design and deliver data-driven solutions for enterprise clients. Responsibilities include building machine learning models, implementing advanced analytics, and collaborating across project teams. The ideal candidate has a minimum of 3 years of experience, strong Python and SQL skills, and familiarity with Generative AI technologies. The role offers hybrid work flexibility and a comprehensive training package.
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