Remote Data Scientist - Generative AI for Pharma Insights

emagine; Polska; Remote; PLN 150,000 - 260,000; Full time

Job summary

emagine is seeking a Data Scientist to turn business questions into structured analytical solutions. You will design data-driven insights, integrate diverse sources, and build AI-enabled analytics workflows. The role emphasizes production-ready, scalable methods and collaboration with health-focused teams.

The position is fully remote, offering exposure to Consumer Health brands and modern cloud/data-stack tools, with a strong emphasis on quality metrics and reproducibility.

Qualifications

• Proven Python ML experience with production systems.
• Structured data analysis and analytical methods.
• Generative AI and LLMs applied to analytics tasks.
• Balance probabilistic AI with deterministic analytics.
• Data semantics and knowledge representation understanding.
• Define and track AI/analytics quality metrics.
• Familiarity with multi-agent AI frameworks.
• Experience with vector databases.
• Cloud experience with Azure or AWS.
• Fluent 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 insight-generation approaches with quality metrics.
• Optimize solutions for trust and operational scalability.

Skills

Python

Machine Learning

Generative AI

LLMs

Knowledge representation

Vector databases

Multi-agent AI

Databricks

Azure / AWS

Analytical mindset

Tools

Databricks

Azure

AWS

Job description

emagine is seeking a Data Scientist to turn business questions into structured analytical solutions. You will design data-driven insights, integrate diverse sources, and build AI-enabled analytics workflows. The role emphasizes production-ready, scalable methods and collaboration with health-focused teams.

The position is fully remote, offering exposure to Consumer Health brands and modern cloud/data-stack tools, with a strong emphasis on quality metrics and reproducibility.