Senior Data Scientist

Billennium; Poland; On-site; PLN 180,000 - 240,000; Full time

Benefits offered by this job

Private healthcare

Multisport card

Life insurance

Language courses

Online learning platforms access

Job summary

Billennium is seeking a Senior Data Scientist to drive AI and LLM initiatives for a global pharmaceutical client. The role emphasizes production-grade AI, experimentation, and scalable solutions in a highly regulated environment.

Ideal candidates combine hands-on applied AI experience with strong Python skills and the ability to own end-to-end delivery, from discovery to production, across data pipelines and software components.

Qualifications

• Proven experience delivering LLM- or ML-powered features into production environments.
• Strong Python programming skills.
• Hands-on with RAG, structured LLM outputs, and applied AI solutions.
• Experience with unstructured datasets and evaluation techniques.
• Able to design reusable software components.
• Excellent collaboration with technical and non-technical stakeholders.

Responsibilities

• Lead technical discovery and experimentation for applied AI and ML use cases.
• Evaluate AI approaches using real-world datasets.
• Collaborate with domain experts to design evaluation datasets and metrics.
• Design and implement Retrieval-Augmented Generation (RAG) solutions.
• Build entity resolution and matching frameworks.
• Transform prototypes into reusable Python components and services.
• Contribute to AI-powered data pipelines and applications.
• Partner with Product Managers, Engineers, and stakeholders to scope features.
• Own technical decisions, plans, timelines, risks.
• Improve solution quality through evaluation and monitoring.

Skills

Production ML

Python

RAG

LLMs

Unstructured data

Stakeholder comms

English fluency

Tools

AWS

S3

MongoDB Atlas

GPU inference

Pydantic

Job description

At Billennium, we have been helping organizations deliver technology projects and digital transformation initiatives for over 20 years. Currently, for our client from the global pharmaceutical industry, we are looking for a Senior Data Scientist to drive the development of cutting-edge AI and Large Language Model (LLM) solutions that solve complex business challenges and support innovation at scale.

This role is ideal for someone who combines strong data science expertise with a hands‑on approach to applied AI, enjoys turning research into production‑ready solutions, and wants to make a tangible impact in a highly regulated, data‑driven environment.

B2B | Remote | Global Pharma | Applied AI & LLMs

About the Project

You will join a team focused on leveraging modern AI technologies to unlock value from complex and unstructured data. Working closely with domain experts, product teams, and engineers, you will lead technical discovery initiatives, evaluate AI approaches using real‑world data, and develop intelligent solutions powered by LLMs.

The role combines research, experimentation, and production implementation, offering the opportunity to build reusable AI capabilities that can be deployed across multiple business applications and data pipelines.

Your Responsibilities

• Lead technical discovery and experimentation for applied AI and machine learning use cases.
• Evaluate and compare different AI approaches using real‑world datasets.
• Collaborate with domain experts to design evaluation datasets, quality metrics, and success criteria.
• Design and implement Retrieval-Augmented Generation (RAG) solutions.
• Build entity resolution and entity‑matching frameworks for complex datasets.
• Transform successful prototypes into reusable Python‑based components and services.
• Contribute to data pipelines and AI‑powered applications used across the organization.
• Partner with Product Managers, Engineers, and Business Stakeholders to scope and deliver new features.
• Own technical decisions, project delivery plans, timelines, and risk management.
• Continuously improve solution quality through evaluation, monitoring, and error analysis.

What We're Looking For

Must Have

• Proven experience delivering LLM- or ML-powered features into production environments.
• Strong programming skills in Python.
• Hands‑on experience with:
• Retrieval‑Augmented Generation (RAG),
• Structured LLM outputs,
• Applied AI solutions.
• Strong expertise in evaluation methodologies, experimentation, and error analysis.
• Experience working with complex, large‑scale, or unstructured datasets.
• Ability to design and develop reusable software components that integrate into larger platforms and systems.
• Experience making technical decisions and taking ownership of solution delivery.
• Strong problem‑solving and analytical skills.
• Ability to collaborate effectively with both technical and non‑technical stakeholders.
• Fluent English (written and spoken).
• Nice to Have
• Experience processing:
• PDF documents,
• Microsoft Word documents,
• Experience with:
• Pydantic,
• Knowledge of:
• LLM Agents,
• Tool Calling,
• AI Observability,
• Tracing and Monitoring.
• Experience working with:
• AWS,
• Amazon S3,
• MongoDB Atlas.
• Exposure to:
• OCR technologies,
• GPU inference and optimization.

Who Are We Looking For?

We are looking for someone who:

• Enjoys turning research and experimentation into production‑ready solutions.
• Takes ownership of technical decisions and delivery outcomes.
• Can balance innovation with practical business value.
• Is passionate about applying AI and LLM technologies to solve real‑world problems.
• Thrives in collaborative, cross‑functional environments.
• Communicates technical concepts clearly to different audiences.
• Continuously seeks opportunities to improve processes, models, and product quality.
• Is excited about shaping the future of AI‑driven products within a global organization.

What We Offer

• Cooperation in a B2B model.
• Benefits package for contractors (private healthcare, Multisport card, life insurance, language courses, and access to online learning platforms).
• Opportunity to work with cutting‑edge AI, Machine Learning, and Large Language Model technologies.
• Participation in strategic initiatives within a leading global pharmaceutical organization.
• Exposure to challenging data and AI problems with real business impact.
• Collaboration with experienced AI, Data, Product, and Engineering professionals.
• Long‑term cooperation in an innovative and fast‑growing technology environment.
• A culture that values knowledge sharing, ownership, and continuous learning.