Dataops + Infra + Security Specialists - Associate

PwC Acceleration Center India; Bengaluru; On-site; INR 750,000 - 1,200,000; Full time

Job summary

PwC Acceleration Center India invites applications for a Dataops + Infra + Security Specialist – Associate role. You will support data operations, build pipelines and models, and apply ML tools while learning and growing within a global team across advisory, assurance, tax and business services.

You will work on data exploration, statistics, visualization, and ensure data quality across client projects, communicating observations clearly.

Qualifications

• Bachelor's degree required.
• At least 2 years of relevant experience.
• Excellent English communication, both written and spoken.

Responsibilities

• Support data science and data engineering work across client projects.
• Build and maintain data pipelines, data lakes, and models.
• Apply programming languages and ML tools to prepare data.
• Run data quality checks and troubleshoot workflows.
• Assist in developing predictive models and NLP use cases.
• Gather information from multiple sources and communicate findings.
• Adapt to changing project needs and own assigned tasks.
• Uphold professional and technical standards while growing skills.

Skills

Data engineering

Dataops

Infrastructure support

Machine learning

Data science

Communication

Analytical thinking

Education

Bachelor's degree

Tools

Docker

Terraform

Job description

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 - Associate you will support data and analytics engineering work within our Data, Analytics & AI practice, helping design and develop data solutions that turn raw data into usable insights for client needs. As an Associate you will focus on learning, contributing to project tasks, adapting to varied client and team settings, asking questions, and taking ownership of quality work while building your professional brand.

In this role at PwC, you will contribute to exploratory and descriptive analysis, statistical modeling, data visualization, and technical tasks across data operations, infrastructure, and security topics. You will use a learning mindset, gather information from multiple sources, interpret patterns, and apply professional and technical standards while developing commercial awareness and a deeper understanding of how the work supports broader business objectives.

Responsibilities

• Supporting data science and data engineering work across client projects, with a focus on data operations, infrastructure, and security practices
• Building and maintaining data pipelines, data lakes, and data models that support exploratory analysis, statistical modeling, and visualization
• Applying programming languages, machine learning tools, and AI-enabled methods to prepare data for analysis and model development
• Running data quality checks, troubleshooting workflow issues, and identifying patterns that affect model performance or data reliability
• Assisting in the development of predictive models, deep learning solutions, and natural language processing use cases
• Gathering information from multiple sources to support analysis, interpret findings, and communicate clear observations to team members
• Adapting to changing project needs and taking ownership of assigned tasks across varied client environments
• Upholding professional and technical standards while developing skills in data science, data engineering, and digital tooling

What You Must Have

• At least a Bachelor's degree
• At least 2 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
• Developing experience with data engineering, dataops, or infrastructure support
• Applying machine learning, data science, or data pipeline concepts in project settings
• Using programming languages, statistical analysis, or data modeling tools
• Gathering facts from multiple sources and analyzing patterns
• Communicating ideas clearly, asking questions, and seeking feedback
• Infrastructure Management - Terraform
• Security Fundamentals
• Data Pipeline Operations
• Monitoring
• Incident Response
• Automation
• Container Management (Docker)