Data Scientist (Generative AI)

emagine Polska; Województwo mazowieckie; Remote; PLN 180,000 - 280,000; Full time

Job summary

emagine Polska is seeking a Data Scientist to generate actionable insights through data analysis and AI-driven methods, supporting Consumer Health brands. The role focuses on integrating diverse data sources and translating business questions into robust analytical solutions.

You will design systematic data-to-insight processes, build reusable analytic recipes, and ensure results are reliable, scalable, and aligned with business goals in a 100% remote setup.

Qualifications

• Strong Python skills with machine learning and generative AI.
• Experience with structured data analysis and analytical methods.
• Experience applying Generative AI and LLMs to analytical tasks.
• Ability to balance probabilistic AI techniques with deterministic analytical methods.
• Understanding of data semantics and experience with knowledge representation.
• Experience in defining and tracking quality metrics in AI and analytics.
• Familiarity with multi-agent AI frameworks.
• Experience with vector databases.
• Experience with Azure cloud services and/or AWS equivalents.
• Experience with Databricks.
• Strong analytical mindset with a structured approach to problem-solving.
• Fluency in English (written and spoken).

Responsibilities

• Design systematic methods to generate meaningful insights from data.
• Integrate structured data and knowledge from various sources.
• Create reusable analytical recipes and agent skills.
• Evaluate various insight-generation approaches and maintain rigorous quality metrics.
• Optimize solutions for trust and operational scalability.

Skills

Python

Machine Learning

Generative AI

LLMs

Structured data

Knowledge representation

Quality metrics

Multi-agent AI

Vector databases

Azure

Databricks

AWS

English

Tools

Databricks

Azure Cloud

AWS

Vector databases

Job description

• Industry: pharma
• Location: 100% remote
• Rate: we're open to your suggestions

The role of the Data Scientist focuses on generating actionable insights through data analysis, integrating diverse data sources, and applying AI-driven methods to support Consumer Health brands. The primary goal is to transform business inquiries into structured analytical solutions that produce consistent, reliable insights.

Responsibilities

• Design systematic methods to generate meaningful insights from data.
• Integrate structured data and knowledge from various sources.
• Create reusable analytical recipes and agent skills.
• Evaluate various insight-generation approaches and maintain rigorous quality metrics.
• Optimize solutions for trust and operational scalability.

Requirements

• Strong Python skills with experience in machine learning and generative AI.
• Experience with structured data analysis and analytical methods.
• Experience applying Generative AI and LLMs to analytical tasks.
• Ability to balance probabilistic AI techniques with deterministic analytical methods.
• Understanding of data semantics and experience with knowledge representation.
• Experience in defining and tracking quality metrics in AI and analytics.
• Familiarity with multi-agent AI frameworks.
• Experience with vector databases.
• Experience with Azure cloud services and/or AWS equivalents.
• Experience with Databricks.
• Strong analytical mindset with a structured approach to problem-solving.
• Fluency in English (written and spoken).

Nice to have

• API & MCP development experience.
• Experience integrating analytics and AI in Consumer Health or related fields.
• Experience in building production-grade agentic AI solutions.
• Experience with Aegra for running AI agents.