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 skilled 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 solid 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 rapid-paced environment

📌 Agentic Ai Manager Hyderabad
🏢 PwC
📍 Hyderabad