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, flexibilityprogrammesand 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

At PwC, we believe inprovidingequal 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 Summary-A career withinData & AnalyticsServices 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 inmodeling, 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.

Mandatory skill sets:

Conduct exploratory data analysis using visualizations to understand data patterns and structures.

Perform statistical analysis and hypothesis testing to validate assumptions.

Develop, deploy, evaluate, and fine-tune machine learning models for business challenges.

Design and implement scalable data pipelines, ETL workflows, and data integration strategies into Snowflake/Data Lake platforms.

Utilize advanced statistical and machine learning methods to derive actionable insights.

Lead AI research projects focused on innovative data analysis techniques.

Qualifications:

4+ years of hands-on experience building data analytics, data engineering, and machine learning solutions.

Strong expertise with Azure Stack services and Snowflake.

Proficient in SQL with deep knowledge of dimensionalmodeling.

Experience creating interactive dashboards using Power BI or Tableau.

Familiarity with advanced statistical analysis, machine learning, and predictivemodeling.

Programming proficiency in R or Python preferred.

Excellent communication skills with the ability to simplify complex technical concepts for diverse audiences.

Experience with AI Automation projects, including Generative AI or Agentic AI, is a plus.

Preferred skill sets: Python, Machinelearning ,Deep learning

Years of experience required: 5+years

Education qualification:

B.E

Education

Degrees/Field of Study required: Bachelor of Engineering

Degrees/Field of Study preferred:

Certifications

Required Skills

Data Engineering

Optional Skills

Accepting Feedback, Accepting Feedback, Active Listening, 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, Data Modeling, Data Pipeline + 38 more

Desired Languages

Travel Requirements

Available for Work Visa Sponsorship

Government Clearance Required

Job Posting End Date

September 3, 2026

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