IN_Senior Associate_ AI Data Scientist Engineer_GCC_Advisory_Bangalore

PwC; Bengaluru; On-site; INR 3,000,000 - 5,400,000; Full time

Job summary

PwC India is seeking a Senior Associate in Data, Analytics & AI based in Mumbai. The role focuses on leading advanced ML and statistical modeling to turn complex healthcare data into actionable insights, while driving best practices, collaboration with global teams, and capability development.

You will leverage strong skills in Python and modern ML methods to deliver scalable data science solutions, with a focus on impactful outcomes for clients and internal stakeholders.

Qualifications

• 8+ years of experience in data science or a related quantitative field.
• Solid grounding in statistical modeling, machine learning, and complex problem-solving techniques.
• Proven experience handling large, high-dimensional datasets and delivering clear, actionable insights.
• Experience deploying models into production environments.

Responsibilities

• Lead the development of advanced ML and statistical models to solve 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.

Skills

Statistical modeling

Machine learning

Large datasets

Transformers

Deep learning

Graph ML

Causal inference

Production deployment

Education

Bachelor of Engineering

Tools

Python

ML frameworks

Graph Neural Networks

Alteryx

Job description

Line of Service

Advisory

Industry/Sector

Not Applicable

Specialism

Data, Analytics & AI

Management Level

Senior 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 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.

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

Responsibilities

• 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

Python, Machine learning , Deep learning

Years of experience required

8+ years

Location

Mumbai

Employment Type

Full Time, Permanent

Education Qualification

Full time B. E

Education

Degrees/Field of Study required: Bachelor of Engineering

Degrees/Field of Study preferred:

Certifications

Certifications (if blank, certifications not specified)

Required Skills

Data Engineering

Optional Skills

Accepting Feedback, Accepting Feedback, Active Listening, AI Fluency, AI-Human Collaboration, Algorithm Development, Alteryx (Automation Platform), Analytical Thinking, Analytic Research, Big Data, Business Data Analytics, Communication, Complex Data Analysis, Conducting Research, Creativity, Customer Analysis, Customer Needs Analysis, Dashboard Creation, Data Analysis, Data Analysis Software, Data Collection, Data-Driven Insights, Data Integration, Data Integrity, Data Mining {+ 41 more}

Desired Languages

(If blank, desired languages not specified)

Job Posting End Date

September 7, 2026