Senior Data & AI Consultant - Energy/Oil & Gas

In this role you help build EPAM's Data & AI practice for the DACH region, shaping and delivering data & AI engagements in Energy, Utilities and Oil & Gas. You will lead client work, translate challenges into use cases and roadmaps, and mentor teams while developing new industry offerings. You’ll collaborate with leadership to grow relationships and drive the adoption of next‑gen data & AI technologies in energy. This is a high-impact, growth-focused opportunity in a dynamic, cross-functional environment.

Leistungen / Benefits

• 30 days holiday per annum
• Company Pension Scheme
• Flexible and remote working opportunities
• Employee Stock Purchase Plan (ESPP)
• Learning and development opportunities
• Regular performance assessments

Verantwortungsbereiche

• Lead and deliver Data & AI consulting engagements for Energy, Utilities and Oil & Gas clients
• Translate client challenges into use cases, roadmaps and solution designs
• Facilitate workshops, discovery sessions and stakeholder interviews
• Manage engagement scope, timelines and quality with delivery teams
• Advise on architecture, data governance and regulatory considerations
• Contribute to proposals, RFP responses and new industry offerings
• Build trusted client relationships and identify follow-on opportunities
• Coach and support junior consultants and engineers on engagements
• Contribute to thought leadership and represent EPAM at industry events

Zentrale Anforderungen

• 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, energy trading, generation/transmission/distribution or demand-side management)
• Technical depth in data engineering/platforms, data modeling, governance or applied AI/ML (incl. 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 leading client workstreams or small engagements end-to-end
• Strong stakeholder management and cross‑functional communication skills
• Business fluency in German and English
• Stakeholder management
• Clear and persuasive communication across business and technical audiences
• Coaching and mentoring junior colleagues
• Data engineering and data platforms
• Data modeling and governance
• Applied AI/ML (including GenAI/LLM)