AI Data Scientist: NLP & ML for Scalable Business Impact

ERGO

Województwo mazowieckie

Hybrid

PLN 180,000 - 280,000

Full time

6 days ago
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Benefits offered by this job

Medical package
Sports card
Remote working option
Dog-friendly office

Job summary

ERGO Technology & Services S.A. (ET&S) in Poland is seeking a Data Scientist to design and deliver AI-powered solutions across business units. You will bridge technical possibility and business impact by applying ML, NLP, and unstructured data analytics at scale.

You will join a data-driven, international team that values collaboration, robust data workflows, and practical AI deployment. The role offers flexible hours, with hybrid work from Warsaw or Gdansk.

Qualifications

  • Master’s or higher in a quantitative/technical field.
  • Strong Python programming experience.
  • Experience with NLP and unstructured data.
  • Knowledge of cloud platforms and scalable deployment tools (MLOps, Docker, Git).
  • Excellent communication to translate insights to technical and non-technical audiences.
  • Experience in cross-functional, fast-paced teams.

Responsibilities

  • Collaborate with business and tech teams to translate ideas into data- and AI-driven solutions.
  • Develop and deploy ML and NLP models using modern tools.
  • Prepare structured and unstructured data for analysis and modeling.
  • Create visual and analytical outputs that support decision-making and tell data stories.
  • Contribute to internal initiatives to improve data infrastructure, tools, and methods.
  • Work in cross-functional, agile teams and keep stakeholders informed.

Skills

Python
Kubernetes
NLP
Cloud
Docker
Git
MLOps
Data storytelling
Agile teamwork

Education

Master’s or higher in quantitative/technical field

Tools

SQL

Job description

ERGO Technology & Services S.A. (ET&S) in Poland is seeking a Data Scientist to design and deliver AI-powered solutions across business units. You will bridge technical possibility and business impact by applying ML, NLP, and unstructured data analytics at scale.

You will join a data-driven, international team that values collaboration, robust data workflows, and practical AI deployment. The role offers flexible hours, with hybrid work from Warsaw or Gdansk.

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