Line of Service

AdvisoryIndustry/Sector

Not ApplicableSpecialism

OperationsManagement Level

Associate & Summary

At PwC, our people in data and analytics focus on leveraging data to drive insights and make informed business decisions. They utilise advanced analytics techniques to help clients optimise their operations and achieve their strategic goals.

In business intelligence at PwC, you will focus on leveraging data and analytics to provide strategic insights and drive informed decision-making for clients. You will develop and implement creative solutions to optimise business performance and enhance competitive advantage.

Why PWC 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….

Responsibilities:

- Designing and building analytical, deep learning (DL), and machine learning (ML) algorithms using Python, R, and other statistical and data engineering tools.
- Developing scalable data pipelines and cloud-based solutions leveraging AWS services to support advanced analytics and AI/ML workflows.

Technical Skills Required:

- Hands-on experience with Generative AI, including designing, developing,



and deploying GenAI applications in production environments using Python and cloud platforms like AWS.
- Strong knowledge of statistical and data mining techniques such as Linear & Logistic Regression, Decision Trees, Bagging, Boosting, Time Series analysis, and Non-parametric methods.
- Proficiency in Python, SQL, and R, combined with experience in distributed data processing frameworks and cloud-based data engineering tools.
- Proven expertise with Generative AI platforms and services, including OpenAI and Google Gemini, integrated within data engineering pipelines.

Mandatory skill sets:

Python, AWS, Data Engineering

Preferred skill sets:

Python, AWS, Data Engineering

Years of experience required:

Fresher / 0 to 2 Years

Education qualification:

BE, B. Tech, M. Tech

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

Degrees/Field of Study required:Degrees/Field of Study preferred:Certifications (if blank, certifications not specified)

Required Skills

Optional Skills

Accepting Feedback, Accepting Feedback, Active Listening, AI Fluency, AI-Human Collaboration, Applied Macroeconomics, Business Case Development, Business Data Analytics, Business Intelligence and Reporting Tools (BIRT), Business Intelligence Development Studio, Communication, Competitive Advantage, Continuous Process Improvement, Data Analysis and Interpretation, Data Architecture, Database Management System (DBMS), Data Collection, Data Pipeline, Data Quality, Data Science, Data Visualization, Digital Tooling, Emotional Regulation, Empathy, Geopolitical Forecasting {+ 22 more}Desired Languages (If blank, desired languages not specified)

Travel Requirements

Not SpecifiedAvailable for Work Visa Sponsorship?

NoGovernment Clearance Required?

NoJob Posting End Date

November 17, 2026

📌 IN_Associate_Data Science & Engineering_Data & Analytics_Advisory_Kolkata (India)
🏢 PricewaterhouseCoopers
📍 India