IN_Manager_AI Data Scientist Engineer_GCC_Advisory_Mumbai

PwC

Mumbai City

On-site

INR 3,500,000 - 7,000,000

Full time

3 days ago

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Job summary

PwC India is seeking a Senior Data Science AI Engineer based in Mumbai to lead the development of advanced ML models for healthcare revenue cycle challenges. You will drive data-driven decision making, collaborate with global teams, and mentor junior analysts in a fast-paced analytics environment.

The role requires 8+ years in data science, strong ML and statistical modeling skills, and hands-on experience deploying models to production.

Qualifications

8+ years of experience in data science or related field.
Strong ML and statistical modeling expertise.
Experience handling large high-dimensional datasets and delivering insights.
Experience deploying models to production.

Responsibilities

Lead the development of advanced ML and statistical models to solve complex healthcare problems.
Establish and promote best practices in modeling, experimentation, and analytical rigor.
Translate real-world healthcare challenges into scalable data science solutions.
Collaborate with global stakeholders to influence product and business strategy.
Mentor and enhance the technical capabilities of the data science team.
Keep up to date with the latest advances in ML and healthcare analytics.

Skills

8+ years data science

Statistical modeling

Machine learning

Big data handling

Production deployment

Healthcare domain knowledge

Education

Bachelor of Engineering

Tools

Alteryx

Python

Deep learning frameworks

Job description

Line of Service: Advisory

Industry/Sector: Not Applicable

Specialism: Data, Analytics & AI

Management Level: Manager

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 data analysis at PwC, you will focus on utilising advanced analytical techniques to extract insights from large datasets and drive data-driven decision-making. You will leverage skills in data manipulation, visualisation, and statistical modelling to support clients in solving complex business problems.

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.

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 Data & Analytics Services will provide you with the opportunity to help our clients leverage transformation to enhance their customer experiences.

Responsibilities

Position Overview

Senior Data Science AI Engineer

What You Will Do

Lead the development of advanced machine learning (ML) and statistical models to solve complex healthcare problems.
Establish and promote best practices in modeling , experimentation, and analytical rigor.
Convert real-world healthcare challenges into scalable data science solutions.
Collaborate with global stakeholders to influence product and business strategy.
Mentor and enhance the technical capabilities of the data science team.
Keep up to date with the latest advances in ML and healthcare analytics.

Who We Are Looking For

Mandatory skill sets

8+ years of experience in data science or a related quantitative field (e.g., Computer Science, Statistics, Mathematics).
Solid grounding in statistical modeling , machine learning, and complex problem-solving techniques.
Proven experience handling large, high-dimensional datasets and delivering clear, actionable insights.
Expertise with modern ML methods, including:

Transformers (e.g., NLP and representation learning)
Deep learning frameworks and architectures
Graph-based machine learning (such as Graph Neural Networks)
Familiarity with causal inference and decision-focused modeling is a plus.

Comfortable tackling ambiguous problems and pursuing impactful outcomes independently.
Excellent collaboration and communication skills for engaging with a range of stakeholders.
Experience deploying models into production environments.
Prior experience or domain knowledge in healthcare, particularly healthcare revenue cycle, is preferred.

Preferred skill sets