PwC

Data Science Engineer- Senior Associate

India · Work style not stated · Full time

Apply on the employer’s site ↗See how well you match this job

You apply directly with the employer. ROLIVA does not submit applications from this page and is not the employer.

About the role

Description from the employer’s posting. Check the employer’s page for the current version.

EmployerPwC
LocationIndia
Work styleWork style not stated
Employment typeFull time
Employer posted25 Sep 2026

Industry/Sector

Not Applicable

Specialism

Advisory - Other

Management Level

Senior Associate

Job Description & Summary

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 Data Science Engineer- Senior Associate, you will leverage advanced analytics and statistical techniques to transform raw data into actionable insights, enabling informed decision-making and driving business growth. Within our Advisory practice, you will focus on building meaningful client connections and learning how to manage and inspire others. Navigating increasingly complex situations, you will grow your personal brand and deepen your technical skills. You are expected to anticipate the needs of your teams and clients, and to deliver quality work. Embracing increased ambiguity, you will be comfortable when the path forward isn’t clear, using these moments as opportunities to grow.

Show full description

In this role at PwC Acceleration Center India, you will engage in exploratory and descriptive analysis, statistical modeling, and creating data visualizations to help solve complex business problems and inform strategic decisions. You will use a broad range of tools, methodologies, and techniques to generate new ideas and solve problems. By interpreting data to inform insights and recommendations, you will develop a deeper understanding of the business context and how it is changing. This position offers a unique opportunity to enhance your skills while contributing to impactful client solutions.

Responsibilities

- Designing and developing data solutions to transform raw data into actionable insights
- Leveraging advanced analytics and statistical techniques to extract insights from large datasets
- Conducting exploratory and descriptive analysis to solve complex business problems
- Creating data visualizations to inform strategic decisions and drive business growth
- Utilizing machine learning and artificial intelligence to enhance data-driven decision making
- Building and maintaining data pipelines and confirming data quality and integrity
- Applying data science algorithms and predictive modeling to support client engagements
- Collaborating with teams to develop and implement data engineering solutions
- Interpreting data to provide insights and recommendations for business strategies
- Upholding professional and technical standards in all data science activities

What You Must Have

- At least a Bachelor's degree
- At least 5 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: Artificial Intelligence and Robotics, Business Analytics, Computer and Information Science, Computer Engineering, Computer Programming, Data Processing/Analytics/Science, Engineering, Information Technology, Machine Learning, Management Information Systems, Mathematics, Statistics, Systems Engineering
- Utilizing advanced data science algorithms and workflows
- Navigating complex data analysis and predictive modeling
- Excelling in machine learning and deep learning applications
- Developing data-driven decision-making strategies
- Building meaningful client connections and anticipating needs
- Mentoring junior team members and guiding project deliverables

Travel Requirements

Job Posting End Date

See how well you match this job Apply on the employer’s site ↗

Check your resume against this job Free, no sign-up. Nothing you paste is stored.

Staying safe while you apply

Never pay to apply, interview or accept an offer. ROLIVA never asks you for payment to apply to a job.
Apply only through the official “Apply on the employer’s site” button, on the employer’s own site, and check that a recruiter’s email uses that employer’s own domain rather than a free email address.
Be cautious of an offer made with no real interview, or pressure to decide quickly or share financial details early.

Does something look wrong with this listing? Use “Report broken link” in the role details, or read ROLIVA’s full job-safety guidance ↗.

Preparing for this role with ROLIVA

Check the fit.
Compare the requirements with the experience you have confirmed, including gaps.
Prepare honestly.
Build interview stories and application drafts from your own evidence.
Keep track.
Save the role and record your own application status and follow-ups.

Create a free workspace or log in.