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Data Analytics/AI Consultant (m/f/d)

EPAM Systems, Inc. -
München

Jetzt bewerben

Details zur Stelle

Qualifikationen

CI/CD
Datenmodellierung
Azure
Kubernetes
Google Cloud Platform
SQL
AWS
Machine Learning
APIs
Künstliche Intelligenz
Python
Analytik

Vollständige Stellenbeschreibung

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

We offer

30 days holiday per annum
Company Pension Scheme
Regular performance assessments
Discount on Fitness-First Black Membership
bitkom - Corporate Benefits
Employee Stock Purchase Plan (ESPP) (subject to certain eligibility requirements)
Learning and development opportunities, including in-house training and coaching, professional certifications, and courses
Friendly and enjoyable working team
Regular corporate and social events
Flexible and remote working opportunities
Award-winning workplace: Great Place To Work® certified in 2026, Kununu (Top Company 2022–2026), NewWork Business Award 2025 for outstanding culture, innovation and employee satisfaction.

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