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Senior / Lead Data Scientist – AI specialist (m/f/d)
EPAM Systems, Inc. —München
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- Azure
- Doktorat
- Informatik

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Senior / Lead Data Scientist – AI specialist (m/f/d)
EPAM Systems, Inc. —München
Design and apply evaluation frameworks to assess model accuracy, performance and data suitability, and resolve issues such as data drift and model drift.

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Senior / Lead Data Scientist – AI specialist (m/f/d)

EPAM Systems, Inc. -
München

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Details zur Stelle

Qualifikationen

CI/CD
Azure
Doktorat
Informatik
Kubernetes
Google Cloud Platform
Anwendungsentwicklung
AWS
Machine Learning
Physik
Computerlinguistik
Erfahrung in der IT
Künstliche Intelligenz
Python
Analytik

Vollständige Stellenbeschreibung

We're looking for a Senior/Lead Data Scientist to join our team in Munich, Berlin, Leipzig or Frankfurt, Germany, in a hybrid working mode.

In this role, you will drive the development and deployment of state-of-the-art data and AI solutions within our IT professional services practice. You will combine deep technical expertise with strategic thinking and effective client engagement to deliver production-grade, high-impact data science outcomes.

Responsibilities

Lead the design, development and deployment of innovative data and AI solutions that address complex business challenges
Partner with business stakeholders and data engineering teams to define project goals, technical requirements and delivery roadmaps
Engage with clients to communicate data and AI opportunities, risks and strategies in clear and accessible terms
Apply deep expertise in advanced analytics modeling, algorithm selection and statistical inference to solve complex business problems hands-on
Continuously tune and refine models for improved performance, accuracy, scalability and reliability across multiple use cases
Design and implement end-to-end data science workflows ensuring robust MLOps practices and production-grade code quality
Design and apply evaluation frameworks to assess model accuracy, performance and data suitability, and resolve issues such as data drift and model drift
Build and optimize GenAI and Agentic AI systems including RAG, multimodal AI applications, human-in-the-loop solutions and evaluation frameworks
Implement and oversee AI governance frameworks ensuring regulatory compliance, ethical AI principles and responsible AI practices
Define and enforce standards for coding practices, model evaluation, documentation and data science workflows across the team
Provide mentorship and technical leadership to junior and mid-level data scientists fostering a culture of innovation and continuous learning
Maintain current knowledge of industry trends, emerging technologies and regulatory developments impacting data science and AI

Requirements

Degree in Data Science, Computer Science, Statistics, Mathematics, Physics or a related field; advanced degree or Ph.D. advantageous
Substantial professional experience in data science and machine learning with a strong track record of delivering production-grade solutions; prior experience in IT consulting or professional services is highly valued
Deep proficiency in at least two ML/AI domains (e.g. Natural Language Processing, Machine Learning Engineering, Computer Vision, Time Series, Recommendation Systems, Generative and Agentic AI)
Expertise in Python and advanced knowledge of data science and AI frameworks such as scikit-learn, PyTorch, MLflow, Plotly, Streamlit and LangChain
Advanced understanding of LLMs, RAG systems, vector databases, prompt engineering and GenAI/Agentic AI application development
Demonstrated experience with cloud platforms (AWS, Azure or GCP), production deployment pipelines and related ML/AI frameworks (e.g. Amazon SageMaker, Bedrock, Microsoft Azure Machine Learning, Foundry, Google Vertex AI)
Hands-on experience with DataOps principles and implementing CI/CD for data pipelines; proficiency with tools such as Palantir Foundry, Celonis, Kubernetes & Flux (GitOps) and DataDog
Practical experience with Microsoft Foundry, Copilot, Power Platform and Azure AI Search
Knowledge of AI governance, regulatory compliance (including GDPR and EU AI regulatory frameworks), responsible AI principles and experience working within large German enterprise IT environments (e.g. change management, works council, German data protection)
Strong written and verbal communication skills in German and English with the ability to engage clients and mentor junior team members

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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Senior / Lead Data Scientist – AI specialist (m/f/d)

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