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AI / ML

Full-stack Agentic AI Developer - Associate

PwC Acceleration Center India

2+ yrsOn-site · Bengaluru East, Karnataka, IndiaFull-timeListed 1d ago
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How to stand out for Full-stack Agentic AI Developer - Associate at PwC Acceleration Center India

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Experience 1–3 yrs (2+ years)

About the role

structured by ORI

The Opportunity Join our Acceleration Center India and help shape the future of business for our diverse client portfolio across geographies and jurisdictions. You’ll work at the heart of global teams across Advisory, Assurance, Tax and Business Services—solving real client challenges through connected collaboration.

What you will do

  • Leveraging advanced analytics techniques to extract insights from large datasets and drive data-driven decision-making
  • Developing algorithms and machine learning models to optimize client operations and achieve strategic goals
  • Applying Python programming language to enhance data analysis and software development processes
  • Collaborating with team members and clients to gather information and analyze facts to discern patterns
  • Engaging in client support activities to address regulatory risk and compliance challenges in financial services

What they are looking for

  • At least a Bachelor's degree
  • At least 2 years of experience
  • Oral and written proficiency in English required

Nice to have

  • Bachelor's degree in Computer Science, Engineering, Data Science, Statistics, Mathematics, or related field.
  • 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.
  • Build or contribute to front-end interfaces for AI agent assets using modern JavaScript/TypeScript frameworks (React, Next.js, or equivalent).
  • 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.
  • Demonstrating proficiency in Python for machine learning applications
PythonSQLdata manipulationdata visualizationstatistical modelingmachine learningalgorithm developmentanalytic researchAWSAzureGCPSASReactNext.js
Full posting text

The Opportunity

Join our Acceleration Center India and help shape the future of business for our diverse client portfolio across geographies and jurisdictions. You’ll work at the heart of global teams across Advisory, Assurance, Tax and Business Services—solving real client challenges through connected collaboration. We’ll help you grow your skills so you can go further. With hands-on learning, cutting-edge tools and an inclusive culture, this is your opportunity to do inspiring work that makes a difference—every day.

As a Full-stack Agentic AI Developer - Associate, you will leverage advanced analytical techniques to extract insights from large datasets and drive data-driven decision-making within our Data, Analytics & AI practice. You will utilize skills in data manipulation, visualization, and statistical modeling to support clients in solving complex business problems. As an Associate, you will focus on learning and contributing to client engagement and projects while developing your skills and knowledge to deliver quality work.

You will be exposed to clients to learn how to build meaningful client connections, manage and inspire others, and grow your personal brand by deepening your technical knowledge of firm services and technology resources.

In this role at PwC Acceleration Center India, you will adapt to working with a variety of clients and team members, each presenting varying challenges and scope. Every experience is an opportunity to learn and grow, taking ownership and consistently delivering quality work that drives value for our clients and success as a team. You will build a brand for yourself, opening doors to more opportunities, and embrace ambiguity, using these challenges as opportunities for growth.

Responsibilities

Leveraging advanced analytics techniques to extract insights from large datasets and drive data-driven decision-making

Utilizing skills in data manipulation, visualization, and statistical modeling to support clients in solving complex business problems

Developing algorithms and machine learning models to optimize client operations and achieve strategic goals

Applying Python programming language to enhance data analysis and software development processes

Collaborating with team members and clients to gather information and analyze facts to discern patterns

Adapting to a fast-paced environment and taking ownership of tasks to consistently deliver quality work

Building a personal brand by learning and applying professional and technical standards

Engaging in client support activities to address regulatory risk and compliance challenges in financial services

What You Must Have

At least a Bachelor's degree

At least 2 years of experience

Oral and written proficiency in English required

What Sets You Apart

Bachelor's degree in Computer Science, Engineering, Data Science, Statistics, Mathematics, or related field.

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.

Build or contribute to front-end interfaces for AI agent assets using modern JavaScript/TypeScript frameworks (React, Next.js, or equivalent).

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.

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 environment

Employment type: Full-time

Industries: Professional Services

Professional Services
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