Senior Data Scientist (AI, Python)
Location: Poland
English: Upper-Intermediate+
Our client is one of the top 5 global management consulting firms, widely recognized as one of the most prestigious in the industry. They serve hundreds of Fortune 500 clients, including major global financial institutions, leading media and tech companies, and federal agencies. Their proven platforms and services are trusted by some of the biggest names worldwide.
🧠 About the Project
You’ll be part of the Strategy & Corporate Finance department — a key unit within the firm that supports clients in tackling strategic and financial challenges. The team combines deep domain expertise with advanced analytical tools to deliver high-impact solutions.
🔧 Tech Stack:
Python, SQL, Pandas, NumPy, TensorFlow, PyTorch, RAG Implementation, Agents, AWS (Azure is a plus)
✅ Requirements:
- 3+ years of experience in data science or a related AI-focused role
- Solid knowledge of AI techniques including machine learning, deep learning, and NLP
- Hands-on experience with Python and key libraries: Pandas, NumPy, scikit-learn, streamlit
- Experience with AI/ML frameworks (TensorFlow, PyTorch)
- SQL proficiency
- Understanding of RAG and agent-based implementations
- Familiarity with Agile methodologies and experience working in Agile teams
- Cloud experience (AWS required, Azure/Google Cloud is a plus)
- Product-oriented mindset with a focus on iterative improvement
- Strong analytical and problem-solving skills
- Ability to clearly communicate complex ideas to both technical and non-technical audiences
- Good software engineering practices: version control, testing, code reviews
- Interest or background in Corporate Finance is a bonus
- Collaborative and proactive attitude, eagerness to stay current with tech trends
💼 Responsibilities:
- Analyze complex datasets to uncover insights using AI techniques
- Build and deploy AI models tailored to client-specific business needs
- Collaborate with consultants and domain experts to shape AI-driven strategies
- Communicate data-driven findings to diverse stakeholders
- Continuously enhance existing models for better accuracy and performance
- Contribute to the AI infrastructure and toolset used by the team
- Stay up to date with the latest trends in AI, ML, and DL