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Strong PwC brand, mid-senior manager level, and broad AI/fullstack skillset increase applicant competition.
Role mixes applied ML engineering with client-service consulting, moderately limiting cross-industry transferability.
Explicit seven-year requirement plus numerous specific ML, deployment, and fullstack technology expectations make filters strict.
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Lead data analysis and AI solution development initiatives to drive strategic insights and optimize client operations.
Manage project timelines, client accounts, and deliverable quality to meet client objectives and uphold professional standards.
Mentor and develop junior team members, leveraging their strengths to enhance overall team performance and skillsets.
Bachelor's degree minimum requirement.
At least 7 years of relevant work experience in data analytics, AI development, or related fields.
Proficiency in English for oral and written communication.
Not explicitly mentioned in the JD: Notice period or specific travel requirements.
Background in Engineering, Data Science/Analytics, Computer Science, Economics, or Finance preferred.
Strong technical skills including Python (for ML), SQL, experience with cloud platforms (AWS, Azure, GCP), AI/ML deployment, and web development tech stack (TypeScript, React, Node.js).
Experience with agentic AI frameworks, production deployment of LLM/AI APIs, containerization (Docker), and application security.