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 professional 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 putting LLM and AI APIs into production, plus a strong grasp of application security.
- Demonstrating proficiency in Python for machine learning applications
- Utilizing data analysis software to derive actionable insights
- Engaging in algorithm development to enhance data processing
- Applying analytic research skills to support client projects
- Adapting to diverse client needs in a fast-paced setting

📌 Agentic AI Manager (Bangalore Rural)
🏢 PwC
📍 Bangalore Rural