IN_Senior Associate_Data Scientist _GCC_Advisory_Bangalore

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

Job summary

PwC India is seeking a Senior Data Scientist (Healthcare Focus) in Hyderabad to lead the development of advanced ML and statistical models and to translate healthcare challenges into scalable data science solutions.

You will mentor the team, collaborate with global stakeholders, deploy models to production, and stay ahead of ML advances in healthcare analytics.

Qualifications

• 8+ years of experience in data science or related quantitative field.
• Strong statistical modelling and ML expertise with large datasets.
• Experience with Transformers, DL frameworks, and Graph ML.
• Experience deploying models to production; healthcare domain knowledge preferred.

Responsibilities

• Lead the development of advanced ML and statistical models for healthcare problems.
• Collaborate with global stakeholders to influence product and business strategy.
• Mentor and enhance the technical capabilities of the data science team.
• Stay up-to-date with the latest advances in ML and healthcare analytics.

Skills

Transformers

Deep learning

Graph neural networks

Causal inference

Python

Machine learning

Production deployment

Communication

Education

Bachelor of Engineering

Tools

Alteryx

Job description

Line of ServiceAdvisoryIndustry/SectorNot ApplicableSpecialismData, Analytics & AIManagement LevelSenior AssociateJob Description & SummaryAt 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 moreabout 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 & SummaryA 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 sets8+ 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 architecturesGraph-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 setsPython, Machine learning , Deep learningYears of experience required8 + yearsLocation : HyderabadEmployment Type : Full Time, Permanent*Education QualificationFull time B. EEducation (if blank, degree and/or field of study not specified)Degrees/Field of Study required: Bachelor of EngineeringDegrees/Field of Study preferred:Certifications (if blank, certifications not specified)Required SkillsData EngineeringOptional SkillsAccepting 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 RequirementsNot SpecifiedAvailable for Work Visa Sponsorship?NoGovernment Clearance Required?NoJob Posting End DateAugust 21, 2026