Back to SearchSenior Data & AI Consultant - Energy/Oil & Gas
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We're looking for a Senior Data & AI Consultant – Energy/Oil & Gas (m/f/d) to join our Data & AI Consulting team in Germany or Austria in a hybrid working mode.
EPAM's Data & AI practice helps organizations realize business value through consulting and delivery of end-to-end data and AI/ML solutions. Our expertise spans data platform modernization, advanced analytics, machine learning, LLMOps, agentic frameworks and Responsible AI practices.
In this role, you will help build EPAM's Energy & Utilities Data & AI practice in the DACH region. You will shape and deliver Data & AI engagements for clients across energy transition, grid modernization, utilities operations and Oil & Gas, working closely with our practice leadership to grow client relationships and our offering.
This is an opportunity to take on real ownership in a growing practice and help shape how the energy sector adopts next-generation Data & AI technologies.
- Lead and deliver Data & AI consulting engagements for Energy, Utilities and Oil & Gas clients
- Translate client business challenges into Data & AI use cases, roadmaps and solution designs
- Facilitate workshops, discovery sessions and stakeholder interviews
- Manage engagement scope, timelines and quality together with delivery teams
- Advise clients on architecture, data governance and regulatory considerations
- Contribute to proposals, RFP responses and the development of new industry offerings
- Build trusted relationships with client stakeholders and identify opportunities for follow-on work
- Coach and support junior consultants and engineers on engagements
- Contribute to thought leadership and represent EPAM at industry events
- 5+ years of experience in Data & AI consulting, with a focus on Energy, Utilities or Oil & Gas
- Domain knowledge in at least one Energy or Utilities segment: grid modernization, DER integration, energy trading, generation/transmission/distribution or demand-side management
- Technical depth in at least one Data & AI area, such as data engineering and platforms, data modeling, governance or applied AI and ML (including MLOps and GenAI/LLM solutions)
- Hands-on experience delivering solutions on cloud platforms (AWS, Azure or GCP)
- Working knowledge of Databricks, Snowflake or modern AI orchestration tools
- Track record of leading client workstreams or small engagements end to end
- Strong stakeholder management and communication skills across business and technical audiences
- Business fluency in German and English
- Exposure to renewables, Data Center Energy Management or DER/grid-edge technologies
- Oil & Gas domain experience (Upstream, Midstream or Downstream)
- Certification in AWS, Azure, GCP, Databricks or Snowflake
- Familiarity with energy-sector regulatory frameworks or ESG compliance