Dataops + Infra + Security Specialists - Associate

Price Waterhouse Cooper LLP; Bengaluru; On-site; INR 600,000 - 1,100,000; Full time

Job summary

Price Waterhouse Cooper LLP seeks a Dataops + Infra + Security Associate to support data analytics engineering within our Data, Analytics & AI practice. You will assist in building data pipelines, data lakes, and models while applying AI-enabled methods to prepare data for analysis and client needs.

You will work across advisory, assurance, tax and business services, collaborating with global teams to deliver quality work and grow your professional brand.

Qualifications

• : Must have a Bachelor's degree and 2+ years of experience in relevant fields.
• : Desired background in data engineering, dataops or infra support.
• : Familiarity with ML concepts and data pipelines preferred.
• : Proficient in English, both written and spoken.

Responsibilities

• Supports data science and data engineering work across client projects with a focus on data ops, infrastructure and security.
• Builds and maintains data pipelines, data lakes, and data models to support analysis and visualization.
• Applies programming languages and AI-enabled methods to prepare data for modeling.
• Runs data quality checks and troubleshoots workflow issues to ensure data reliability.
• Assists in developing predictive models, deep learning solutions, and NLP use cases.
• Gathers information from multiple sources to support analysis and communicate findings clearly.
• Adapts to changing project needs and takes ownership of tasks across client environments.
• Upholds professional standards while growing skills in data science, engineering and tooling.

Skills

Data engineering

Dataops

Infrastructure

ML basics

Programming

Communication

Education

Bachelor's degree

Tools

Docker

Terraform

Job description

Job Description & Summary

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.

The Opportunity

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.

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)