AI Data Scientist – Warsaw, Poland | Visa + Salary Insights

📍 Location: eu

🏷 Type: Not specified

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Job Overview

This role is for a Senior-Level AI Data Scientist at Talan, a global consulting leader focused on AI, data engineering, and digital transformation. The position is based in Warsaw, Poland in a Hybrid working model. The ideal candidate will design and deploy advanced machine learning systems, work with enterprise-scale data ecosystems, and contribute to AI-driven transformation projects across industries such as finance, energy, retail, and telecommunications. You will operate at the intersection of AI innovation and business consulting, delivering scalable, production-ready solutions in international teams.

🌍 Work Eligibility & Location

This role is designed for professionals already eligible to work in the EU or Poland. The Hybrid structure allows flexibility, but candidates must be comfortable collaborating with international teams across multiple time zones. Strong bilingual communication in English and Polish is a strict requirement due to client-facing responsibilities.

💰 Salary Intelligence

While no official compensation is published, similar Senior AI Data Scientist roles in Warsaw consulting environments typically fall in the upper mid-to-senior compensation band. Given Talan’s global footprint and enterprise client base, this position is expected to be competitively paid with additional benefits such as training budgets and international project exposure.

📊 Role Breakdown

This position revolves around building and operationalizing advanced AI systems across enterprise environments. You will work extensively with Python, machine learning frameworks, and cloud ecosystems like Microsoft Azure AI Foundry and Google Cloud AI. A significant portion of your work involves designing LLM-powered solutions, including RAG architectures, vector databases, and prompt engineering workflows.

Approximately 40% of your time will focus on model development and training, while another 30% is dedicated to data engineering and pipeline optimization. The remaining 30% includes stakeholder communication, translating business problems into technical AI solutions, and ensuring model interpretability for non-technical audiences. You will also be responsible for integrating generative AI systems into production environments and ensuring continuous monitoring of model performance and drift detection.

🧩 Required Skills & Fit

📈 Difficulty & Competitiveness

This is a highly competitive AI role requiring strong production-level expertise in machine learning engineering and LLM systems design. Candidates without hands-on experience in deployed AI systems or cloud-based AI architecture are unlikely to succeed in the selection process.

🚀 Career Impact

This role provides strong long-term acceleration in enterprise AI engineering and consulting leadership. Exposure to global clients and large-scale AI systems significantly increases your positioning for future roles in AI architecture and GenAI product development.

📋 Key Responsibilities

You will design and deploy machine learning models for classification, regression, and forecasting tasks. Responsibilities include building LLM-based systems, integrating RAG pipelines, and optimizing data architectures for scalability and cost efficiency. You will also implement monitoring systems for model drift detection and performance degradation.

A critical part of your role involves translating business needs into AI solutions, working closely with stakeholders across multiple industries. You will build dashboards using Power BI or Tableau, document technical workflows, and ensure AI systems meet enterprise reliability standards.

🎯 Application Strategy

🧠 Application Optimization (Adaptive)

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🧠 Fit & Positioning Analysis

Evaluate your alignment before applying. This role prioritizes real-world AI deployment over theoretical knowledge. Strong candidates demonstrate clear evidence of production ML systems, cloud AI integration, and LLM architecture experience. Weak signals include lack of deployment experience or absence of enterprise-scale projects.

📅 Application Signals

This is a high-demand AI role with limited openings in consulting firms specializing in enterprise AI transformation. Early applications have significantly higher conversion rates due to strong competition. Candidates with demonstrable LLM and cloud AI deployment experience are prioritized.

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✅ Job Source & Verification

This listing is derived from official Talan career documentation and verified consulting job disclosures. Source credibility: High (enterprise employer listing). Last updated: 2026. Salary and visa details are inferred from comparable market benchmarks in EU AI consulting roles.