Role & responsibilities
- Leading data analysis initiatives to drive insights and support strategic decision-making for clients
- Utilizing advanced analytics techniques and data manipulation skills to extract meaningful insights from large datasets
- Developing and implementing statistical models to solve complex business problems
- Guiding teams in the use of data visualization tools to enhance client presentations and reports
- Overseeing the development of machine learning algorithms to optimize client operations
- Collaborating with client teams to identify opportunities for leveraging data analytics in business processes
- Managing project timelines and deliverables to align with client expectations and objectives
- Mentoring team members to enhance their skills in data analysis and analytics software
- Addressing and resolving conflicts or issues with clients and stakeholders in a qualified manner
- Upholding professional and technical standards in all client engagements and deliverables
Preferred candidate profile
- At least a Bachelor's degree
- At least 7 years of experience
- Oral and written proficiency in English required
What Sets You Apart
- Preference for at least one of the following fields of study: Engineering, Data Processing/Analytics/Science, Computer and Information Science, Economics, Finance
- At least one of the following: Cloud platforms (AWS, Azure, GCP), or predictive modeling/ML (Python, SAS)
- Strong Python skills and working knowledge of SQL.
- Experience building and deploying AI/ML solutions.
- Deep skill in TypeScript, React, and Node.js, with strong Next.js (App Router) experience.
- Develop backend APIs and services using Python (FastAPI, Flask) and/or Node.js (Express) to serve AI capabilities to end users.
- Familiarity with Docker and containerized deployment workflows.
- Hands-on work with agentic AI and orchestration frameworks (LangChain, LangGraph, Claude Agent SDK), job queues, and event-driven systems.
- Experience
📌 Agentic AI Manager (Bengaluru)
🏢 PwC
📍 Bengaluru
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