IN_Associate_Data Science & Engineering_Data & Analytics_Advisory_Kolkata

PwC is hiring an IN_Associate_Data Science & Engineering_Data & Analytics_Advisory_Kolkata. Level rates it ; you can apply on PwC.

Level's read on this job

Works on AI ●●●○ is how Level rates this role: the daily work is on AI products, without building the model.
PwC mentions visa sponsorship in this posting.
Tools and skills the posting cites include OpenAI and Gemini.
Level lists 3,800+ other open roles at PwC.
The role was posted in the last few days.

AI in this role

openaigemini

Line of Service

Advisory

Industry/Sector

Not Applicable

Specialism

Operations

Management Level

Associate

Job Description & 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 innovative solutions to optimise business performance and enhance competitive advantage.

Why PWC

At 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. "

Job Description & 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 Specified

Available for Work Visa Sponsorship?

Government Clearance Required?

Job Posting End Date

November 17, 2026

How we rate this

IN_Associate_Data Science & Engineering_Data & Analytics_Advisory_Kolkata at PwC rates 60 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.

Classification

Works on AI. The daily work is on AI products, without building the model.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Key facts

IN_Associate_Data Science & Engineering_Data & Analytics_Advisory_Kolkata is an open job at PwC.
Level rates this role AI Level 3 of 4: Works on AI.
The role is based in Kolkata DN 57.
The job was posted on November 3, 2026.
Applications are handled by PwC. Apply on PwC

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

OpenAIGemini

Questions you could be asked

What's a project where you used OpenAI hands-on?
Walk me through how you've used Gemini in your day-to-day work.
Describe a typical day in a role like this one: which parts run through AI directly?
If you removed AI from this role, what would be left, and how do you decide what still needs a human?

Adapt your resume

List these exact terms on your resume: OpenAI and Gemini. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.

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