Data Scientist

Data Scientist

At Madiff, we build advanced AI-driven solutions for leading US enterprises, focusing on large-scale commercial applications powered by Generative AI and LLMs. Our teams in Poland, Portugal, France, and the UK deliver high-impact projects in collaboration with top global consulting firms and Fortune 500 clients across banking, telecom, and high-tech industries.

We are expanding our Data Science practice to strengthen our capability in designing and deploying large-scale AI systems. This role will focus on developing machine learning models, optimising data pipelines, and implementing advanced techniques in NLP, RAG, and predictive analytics within enterprise-grade environments.

You will work closely with cross-functional teams to integrate AI components into production systems, collaborate with data engineers and ML developers, and help shape how AI is used to drive real business transformation at scale.

We’re looking for a Data Scientist with expertise in Generative AI and LLMs who can contribute to building and deploying data solutions for enterprise customers. Strong experience in Python, model training, vector databases, and modern AI frameworks (LangChain, LangGraph, Hugging Face, PyTorch, or TensorFlow) is highly valued.

We’re looking for a Data Scientist with Generative AI expertise to support the AI transformation program of a leading global consulting firm.

 

What you will do:

• Design, fine-tune and optimize LLMs and GenAI pipelines using Python , PyTorch , TensorFlow , MLflow , and LangChain
• Build and scale RAG systems and advanced prompting (chain-of-thought, function-calling)
• Develop and deploy predictive models (classification, time-series forecasting) in CI/CD environments with Docker and MLflow
• Implement robust AI governance frameworks – including compliance , monitoring , and ethical guidelines
• Lead internal adoption workshops , mentor junior team members, and drive business alignment
• Collaborate on data ingestion , feature engineering , model evaluation , and feedback loops

Requirements

• 3–4+ years as a Data Scientist , with practical experience in GenAI and ML workflows
• Excellent Python skills with PyTorch , TensorFlow , Scikit-learn , Pandas , and NumPy
• Experience with cloud platforms (Azure, Databricks) and MLOps tools like MLflow , CI/CD
• Proven success in LLM fine-tuning , prompt engineering , and RAG architecture
• Solid knowledge of forecasting and predictive modeling
• Strong communication, stakeholder engagement, and mentoring abilities
• Fluent English - spoken and written

 

Nice to Have:

• Familiarity with Dataiku , Apache Spark , GraphQL , or React Native
• Domain experience in healthcare or fintech
• Advanced degree (MSc/PhD) in Data Science, AI, or related field

Benefits

• Fully remote work set-up
• Comprehensive medical care
• Long-term opportunity to shape GenAI adoption in highly regulated, high-impact industries