IN_Senior Associate_Data Scientist _GCC_Advisory_Mumbai

AI in this role

nlp

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 PWCAt 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:

Position Overview: Senior Data Scientist (Healthcare Focus)

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

Python, Machine learning , Deep learning

Years of experience required

8+ years

Location : Hyderabad

Employment Type : Full Time, Permanent

*Education Qualification

Full time B. E

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

Degrees/Field of Study required: Bachelor of Engineering

Degrees/Field of Study preferred:

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)

Travel Requirements

Not Specified

Available for Work Visa Sponsorship?

Government Clearance Required?

Job Posting End Date

August 21, 2026

How we score this

IN_Senior Associate_Data Scientist _GCC_Advisory_Mumbai at PwC scores 90 out of 100 on AI centrality, which makes it AI Level 4 of 4 (Builds AI) on this board. The level measures how much of the work is AI, not seniority.

Classification

AI Level 4. Building AI systems is the job itself: without AI, the role would not exist.

AI Level 480 to 100
AI Level 360 to 79
AI Level 240 to 59
AI Level 10 to 39

Bands come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.

Prepare for this job

A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.

Skills and AI tools this role asks for

Nlp

Questions you could be asked

What NLP problem have you worked on, and how did you measure whether it actually worked?
How would you decide a model or AI system is ready to ship?
Tell me about a time a model underperformed in production. How did you find out, and what did you change?

Adapt your resume

List these exact terms on your resume: Nlp. 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.
Lead with what you built, trained or shipped — this role is judged on the AI system itself, not the tools around it.

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