Line of Service

AdvisoryIndustry/Sector

Not ApplicableSpecialism

Data, Analytics & AIManagement Level

Senior Associate & Summary

At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth.

Those in artificial intelligence and machine learning at PwC will focus on developing and implementing advanced AI and ML solutions to drive innovation and enhance business processes. Your work will involve designing and optimising algorithms, models, and systems to enable intelligent decision-making and automation.*Why PWCAt PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purpose-led and values-driven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world.

We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more about us.At PwC, we believe in providing equal employment opportunities, without any discrimination on the grounds of gender, ethnic background, age, disability, marital status, sexual orientation, pregnancy, gender identity or expression, religion or other beliefs, perceived differences and status protected by law.

We strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firm’s growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations. " &

Summary:



A career within Data and Analytics services will provide you with the opportunity to help organizations uncover enterprise insights and drive business results using smarter data analytics. We focus on a collection of organizational technology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within their organizations to keep up with the changing nature of customers and technology. We make impactful decisions by mixing mind and machine to leverage data, understand and navigate risk, and help our clients gain a competitive edge.

Responsibilities:

We’re looking for a strong Python developer with solid hands-on experience in building automation scripts, working with data transformation libraries, and writing clean, modular, object-oriented code. The role demands deep comfort with Python and its ecosystem.

- Expert in Python with robust understanding of OOPs, data structures, and design principles.

- Hands-on with Pandas and NumPy for complex data manipulation and transformation.

- Experience in building automation scripts and frameworks for data and system workflows.

- Familiar with REST API integration/development in Python for reporting, cataloging, or orchestration.

- Solid exposure to UNIX/Linux environments with working knowledge of shell scripting.

Exposure to KDB+/q, especially concepts like rdb, hdb, and tick data.
- Understanding of high-frequency or time-series data processing.

Write clean,



production-ready Python code.
- Are comfortable owning end-to-end automation workflows.

- Can work independently in a Linux-heavy setup and collaborate across data & engineering teams.

- Have a passion for optimizing and automating wherever possible.

Mandatory skill sets:

- Expert in Python with strong understanding of OOPs, data structures, and design principles.

- Hands-on with Pandas and NumPy for complex data manipulation and transformation.

- Experience in building automation scripts and frameworks for data and system workflows

preferred skill sets:

- Exposure to KDB+/q, especially concepts like rdb, hdb, and tick data.

- Understanding of high-frequency or time-series data processing.

Years of experience required: Experience: 4-8 Years

Education qualification:

B.Tech / M.Tech / MCA/MBA

Education (if blank, degree and/or field of study not specified)

Degrees/Field of Study required: Bachelor of Engineering, MBA (Master of Business Administration), Master of EngineeringDegrees/Field of Study preferred:Certifications (if blank, certifications not specified)

Required Skills

Artificial Intelligence (AI), Machine LearningOptional Skills

Accepting Feedback, Accepting Feedback, Active Listening, AI Implementation, Analytical Thinking, C++ Programming Language, Communication, Complex Data Analysis, Creativity, Data Analysis, Data Infrastructure, Data Integration, Data Modeling, Data Pipeline, Data Quality, Deep Learning, Embracing Change, Emotional Regulation, Empathy, GPU Programming, Inclusion, Intellectual Curiosity, Java (Programming Language), Learning Agility, Machine Learning {+ 25 more}Desired Languages (If blank, desired languages not specified)

Travel Requirements

Not SpecifiedAvailable for Work Visa Sponsorship?

NoGovernment Clearance Required?

NoJob Posting End Date

May 22, 2026

📌 IN-Senior Associate_ Python Developer__ Data & Analytics _ Advisory _Bangalore (Bengaluru)
🏢 PwC
📍 Bengaluru