Operations AI Engineers

Job Description & Summary Description We are a team that turns complexity into opportunity. We look for the curious and collaborative – ready to commit to growth, think boldly and make an impact from day one. SHAPING TOMORROW Make a real impact, today, and tomorrow, through work that matters. Here, you will tackle today’s toughest challenges with a future-focused mindset; so our clients turn to us first when it matters most. PwC's Strategic Analytics & Operations practice is looking for Operations AI Engineers to join our growing team and help deliver cutting-edge AI-driven solutions to some of Greece's most complex operational environments. Make a real impact - Design and develop AI and machine learning models applied to supply chain, logistics and operations optimization - Build and deploy predictive analytics and automated solutions for large-scale operational networks - Develop AI-based and agentic decision-support tools that autonomously monitor, reason and recommend actions across complex operations - Leverage vibe coding and AI-assisted development environments combining tools like Cursor and Claude to accelerate solution building and prototyping - Design multi-agent systems capable of handling end-to-end operational workflows with minimal human intervention - Translate complex operational challenges into scalable AI-powered solutions - Collaborate with cross-functional teams of consultants, data engineers and client stakeholders - Present analytical findings and recommendations to senior client leadership What you bring matters - Degree in Computer Science, Data Science, Engineering or Mathematics - 1-3 years of experience in AI/ML engineering or advanced analytics roles - Strong proficiency in Python, SQL and machine learning frameworks (TensorFlow, PyTorch, scikit-learn) - Familiarity with agentic AI frameworks (LangChain, AutoGen, CrewAI or similar) - Hands-on experience with vibe coding and AI-assisted development tools (Cursor, Claude, GitHub Copilot, Windsurf or similar) - Knowledge of LLMs, prompt engineering and AI orchestration is a strong advantage - Experience with data visualization tools (Power BI, Tableau) - Knowledge of supply chain, logistics or operations domains is a strong advantage - Excellent communication skills in Greek and English BRING YOUR BEST, EVERYDAY Your skills, integrity, and curiosity make the difference. At PwC Greece, we match that with an environment that brings out your best every day – supported by people who inspire, challenge, and grow with you. What we offer goes beyond a competitive package. It’s about creating the conditions for you to learn, belong, and deliver impact. That means: - Your work life-balance supported by a hybrid working model - Your creativity sparked in collaborative office spaces - Your career growing through local and global opportunities - Your development advanced with continuous learning and professional certifications - Your well-being cared for with extra leave days and wellness initiatives - Your perspective valued in an inclusive team where your impact matters Want to unlock new value by applying your unique perspective and talents? At PwC Greece, you lead by example. Our standards for quality and care are high – and together we surpass them. We redefine possibilities for our clients and communities. Challenge accepted? Our circle of connection matters - it’s at the heart of what we do. Click here (PwC life) All applicants will be acknowledged and treated in the strictest confidence.

Summary

Design and develop AI and machine learning models for supply chain, logistics and operations optimization, build predictive analytics and agentic decision-support tools, and present findings to client leadership. Requires a degree in Computer Science, Data Science, Engineering or Mathematics, 1-3 years of AI/ML engineering experience, Python, SQL and machine learning framework proficiency, and Greek and English communication skills.

Responsibilities

Design and develop AI/ML models for supply chain and operations optimization; build predictive analytics and automated solutions; develop agentic decision-support tools; design multi-agent systems; translate operational challenges into AI-powered solutions; collaborate with cross-functional teams; present findings to client leadership

Qualifications

Degree in Computer Science, Data Science, Engineering or Mathematics; 1-3 years of AI/ML engineering or advanced analytics experience; strong Python, SQL and ML framework proficiency; familiarity with agentic AI frameworks; hands-on vibe coding and AI-assisted development tools; LLMs, prompt engineering and AI orchestration (advantage); data visualization tools; supply chain/logistics/operations knowledge (advantage); excellent Greek and English communication

Education requirements

Degree in Computer Science, Data Science, Engineering or Mathematics

Experience requirements

1-3 years of experience in AI/ML engineering or advanced analytics roles

Benefits

Hybrid working model; extra leave days; wellness initiatives; continuous learning and professional certifications