IN-Senior Associate_AWS Data Engineer_GCC_Advisory_Bangalore

PwC International; Bengaluru; On-site; INR 1,400,000 - 2,100,000; Full time

Job summary

PwC is seeking a Senior Associate in Data, Analytics & AI to design and build robust data pipelines and data infrastructure that enable efficient processing and actionable insights for clients. You will work on advanced ML models and data transformations within a healthcare domain, collaborating with global stakeholders and mentoring teammates.

The role emphasizes production-ready models, strong communication, and delivering impact through data-driven decision making across advisory projects.

Qualifications

• 4+ years in data science or related quantitative field.
• Strong foundation in statistical modeling, machine learning, and problem-solving.
• Experience with large, high-dimensional datasets and communicating insights clearly.

Responsibilities

• Lead development of advanced ML and statistical models for complex healthcare problems.
• Drive best practices in modeling, experimentation, and analytical rigor.
• Translate real-world problems into scalable data science solutions.
• Partner with global stakeholders to influence product and business decisions.
• Mentor and elevate the technical depth of the data science team.
• Stay at the forefront of ML and healthcare analytics advancements.

Skills

Data Science

ML

NLP

Deep Learning

Transformers

GNN

Statistical Modeling

Education

B.Tech / M.Tech / M.E / MCA / BE

Tools

AWS

Apache Airflow

Apache Hadoop

Azure Data Factory

Databricks

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 engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and implementing data pipelines, data integration, and data transformation solutions.

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…. A career within Data and Analytics services will provide you with the opportunity to help organisations uncover enterprise insights and drive business results using smarter data analytics. We focus on a collection of organisational technology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within their organisations in order to keep up with the changing nature of customers and technology. We make impactful decisions by mixing mind and machine to leverage data, understand and navigate risk, and help our clients gain a competitive edge.

Responsibilities: What You Will Do

• Lead development of advanced ML and statistical models for complex healthcare problems
• Drive best practices in modeling, experimentation, and analytical rigor
• Translate real-world problems into scalable data science solutions
• Partner with global stakeholders to influence product and business decisions
• Mentor and elevate the technical depth of the data science team
• Stay at the forefront of ML and healthcare analytics advancements

Who We Are Looking For

• 4+ years in data science or related quantitative field (CS, Statistics, Math, etc.)
• Strong foundation in statistical modeling, machine learning, and problem-solving
• Experience with large, high-dimensional datasets and communicating insights clearly
• Expertise in modern ML approaches including:
• Transformers (NLP, representation learning)
• Deep learning techniques
• Graph-based methods (Graph Neural Networks)
• Exposure to causal inference / decision-focused modeling is a plus
• Ability to own ambiguous problems and drive high-impact outcomes
• Strong collaboration, communication, and stakeholder engagement skills
• Experience taking models to production
• Healthcare & Healthcare Revenue Cycle domain experience is a plus

Mandatory skill sets: Data Science, Modern ML, NLP, Deep Learning Preferred skill sets: Data Science, Modern ML, NLP, Deep Learning Years of experience required: 4-7yrs Education qualification: B.Tech / M.Tech / M.E / MCA/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 Big Data Optional Skills Accepting Feedback, Accepting Feedback, Active Listening, Agile Scalability, AI Fluency, AI-Human Collaboration, Amazon Web Services (AWS), Analytical Thinking, Apache Airflow, Apache Hadoop, Azure Data Factory, Communication, Creativity, Data Anonymization, Data Architecture, Database Administration, Database Management System (DBMS), Database Optimization, Database Security Best Practices, Databricks Unified Data Analytics Platform, Data Engineering, Data Engineering Platforms, Data Infrastructure, Data Integration, Data Lake {+ 30 more} Desired Languages (If blank, desired languages not specified)

Travel Requirements Not Specified Available for Work Visa Sponsorship? No Government Clearance Required? No Job Posting End Date July 27, 2026

Are you ready to make a difference? Want to unlock new value by applying your unique perspective and talents? You can grow exponentially at PwC. Here, you can uncover hidden talents, build lifelong relationships rooted in trust and empathy and turn challenges into opportunities for innovation. We’ll help you grow your skills through challenging, meaningful work so you can go further.