PwC
Dataops + Infra + Security Specialists - Senior Associate
India · Work style not stated · Full time
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About the role
Description from the employer’s posting. Check the employer’s page for the current version.
- EmployerPwC
- LocationIndia
- Work styleWork style not stated
- Employment typeFull time
- Employer posted
Industry/Sector
Not Applicable
Specialism
Data, Analytics & AI
Management Level
Senior Associate
Job Description & Summary
The Opportunity
Join our Acceleration Center India and help shape the future of business for our diverse client portfolio across geographies and jurisdictions. You’ll work at the heart of global teams across Advisory, Assurance, Tax and Business Services—solving real client challenges through connected collaboration. We’ll help you grow your skills so you can go further. With hands-on learning, cutting-edge tools and an inclusive culture, this is your opportunity to do inspiring work that makes a difference—every day.
As a Dataops + Infra + Security Specialists - Senior Associate you will help design, build, and support data operations, infrastructure, and security solutions that turn raw data into usable insights for clients within our Data and Analytics Engineering practice. As a Senior Associate you will analyze complex problems, manage assigned workstreams, build meaningful client connections, and guide junior team members while using critical thinking, multiple tools, and a broader view of business needs to contribute to client service engagements. In this role at PwC Acceleration Center India, you will focus on exploratory and descriptive analysis, statistical modeling, data visualization, and the delivery of work that supports data-driven decision making and business growth.
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Responsibilities
- Analyzing client data engineering needs and translating complex business problems into data science workstreams
- Developing data pipelines, data quality checks, and data lake processes to support analytics and model development
- Applying statistical analysis, machine learning, and predictive modeling techniques to uncover patterns and inform recommendations
- Building and maintaining data science workflows that support exploratory analysis, descriptive reporting, and visualizations
- Using AI fluency, automation tools, and digital tooling to improve data engineering and analytics delivery
- Reviewing work output for technical accuracy, completeness, and alignment with professional standards
- Guiding junior team members on data science methods, coding practices, and troubleshooting approaches
- Anticipating client and project needs while managing assigned tasks across changing priorities and ambiguous requirements
- Communicating findings and technical concepts clearly to client teams and internal stakeholders
What You Must Have
- At least a Bachelor's degree
- At least 4 years of experience
- Oral and written proficiency in English required
What Sets You Apart
- Preference for at least one of the following fields of study: Artificial Intelligence and Robotics, Business Analytics, Computer and Information Science, Computer Engineering, Computer Programming, Data Processing/Analytics/Science, Engineering, Information Technology, Machine Learning, Management Information Systems, Mathematics, Statistics, Systems Engineering
- Demonstrating dataops, infrastructure, and security delivery in client-facing settings
- Applying data engineering tools, methods, and techniques to solve problems
- Interpreting data to shape recommendations and project decisions
- Building client relationships while anticipating team and client needs
- Guiding junior team members through ambiguity and changing priorities
- Advanced Security
- Infrastructure Design - Terraform and Container Management (Docker)
- Dataops Architecture
- Governance Implementation
- Automation Strategy
- Risk Management
- Technical Leadership
Travel Requirements
Not Specified
Job Posting End Date
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At a glance
- Employment typeFull time
- SenioritySenior
- Employer posted
- Added to ROLIVA
- Last checked
Skills in this posting
Skills ROLIVA found in the employer’s own description above. A mention is not a requirement.