Erstellt am 13. Mai 2026
Data Analytics/AI Consultant (m/f/d)
EPAM
Berlin, Berlin 10115, Germany
Vollzeit
Reference: 1146238900
We're looking for a Data Analytics/AI Consultant to join our team in Frankfurt, Berlin, Leipzig or Munich, Germany in a hybrid working mode. In this role, you will combine deep technical expertise in data, analytics and AI with strong implementation skills to deliver data-driven outcomes for clients. You will work on designing and implementing advanced analytics, GenAI and Agentic AI solutions that are secure, scalable and cost-effective in enterprise environments. Responsibilities Collaborate with business and IT stakeholders to understand needs and identify opportunities for using data, analytics and AI to solve business problems Translate business demands into technical requirements by defining project goals, metrics, data sources and methodologies Develop, evaluate and monitor production-ready data analytics, AI and Agentic AI solutions ensuring secure and scalable operation Apply expertise in data modeling, advanced analytics, GenAI and agent-based frameworks to solve client challenges and ensure solution quality Apply statistical methods including regression, hypothesis testing and forecasting to develop predictive models and analytical outputs Support the development of comprehensive data and AI strategies including use case identification and solution roadmaps Participate in stakeholder workshops, design sessions and strategic discussions to align business and technical requirements Take technical ownership of solution components and work closely with Solution Architects and Technical Leads to implement key design decisions Collaborate with cross-functional teams to define project scope, develop datasets and apply appropriate algorithms to deliver high-quality solutions Stay current with trends in data and analytics including cloud data platforms, open-source solutions, data science, GenAI and Agentic AI Participate in code reviews and testing to uphold quality standards and engineering best practices Requirements Proven end-to-end experience delivering data, analytics and AI solutions including data platforms, advanced analytics, GenAI and Agentic AI Deep hands-on expertise in SQL and Python including advanced analytics, performance tuning, data modeling and model evaluation Proven experience applying statistical methods, predictive modeling and machine learning techniques to deliver advanced analytics solutions Demonstrated experience designing, implementing and optimizing GenAI solutions including large language models (LLMs), multimodal AI applications and human-in-the-loop solutions Solid understanding of Agentic AI concepts including development and orchestration of autonomous AI agents Experience implementing agent-based workflows that integrate with IT landscapes, APIs, MCP servers and enterprise platforms Knowledge of implementing monitoring, governance and control mechanisms for AI systems Familiarity with data security principles (RBAC, ABAC, RLS and attribute-level security) and regulatory compliance frameworks including GDPR, EU AI Act and ISO-27001 Proficiency in designing and delivering data and AI solutions using at least one leading cloud platform - AWS, Microsoft Azure or Google Cloud Platform Strong written and verbal communication skills in German and English Nice to have Experience in energy, utilities or industrial sectors Practical experience with Microsoft Foundry, Copilot, Power Platform and Azure AI Search Hands-on experience with DataOps principles and implementing CI/CD for data pipelines Proficiency in Palantir Foundry, Celonis, Kubernetes & Flux (GitOps) and DataDog Practical experience documenting software architectures using arc42