Job Description

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 Palantir Application Developer- Senior Associate, you will leverage advanced technologies and techniques to design and develop robust data solutions for clients, transforming raw data into actionable insights that drive business growth. Within our Technology Consulting practice, you will focus on leveraging advanced analytics and statistical techniques to extract insights from large datasets, enabling data-driven decision-making and solving complex business problems.

As a Senior Associate, you will build meaningful client connections and learn how to manage and inspire others. You will navigate increasingly complex situations, growing your personal brand and deepening your technical skills. You are expected to anticipate the needs of your teams and clients, delivering quality work while embracing ambiguity and using these moments as opportunities for growth.

In this role at PwC Acceleration Center India, you will work on exploratory and descriptive analysis, statistical modeling, and creating data visualizations to inform strategic decisions. You will use a broad range of tools and methodologies to generate new ideas and solve problems, developing a deeper understanding of the business context and how it is evolving.

Responsibilities

• Developing and implementing data solutions using advanced analytics and statistical techniques to transform raw data into actionable insights
• Collaborating with clients to understand their data needs and delivering tailored solutions that drive business growth
• Utilizing programming languages such as C++, R, and MATLAB to create and optimize data models and algorithms
• Conducting complex data analysis and predictive modeling to support data-driven decision-making processes
• Designing and maintaining data pipelines and data lakes to validate efficient data flow and storage
• Applying machine learning and deep learning techniques to enhance data science workflows and solve complex business problems
• Creating data visualizations to effectively communicate insights and recommendations to stakeholders
• Engaging in AI-human collaboration to leverage artificial intelligence for innovative solutions
• Upholding professional and technical standards while interpreting data to inform strategic decisions
• Mentoring junior team members and fostering a collaborative environment to enhance team performance

What You Must Have

• At least a Bachelor's degree
• At least 4 years of experience
• Oral and written proficiency in English required

-- Hands-on experience with Palantir Foundry data engineering

What Sets You Apart

-Experienced in building Ontology-ready data products in Palantir Foundry for operational applications, dashboards, workflows, AI/ML, and data science teams.

• Skilled with Palantir AIP, AI-enabled workflows, model development, feature engineering, and data products supporting GenAI use cases.
• Proficient in Palantir Application Development tools like Workshop, Quiver, Slate, Functions, Actions, and creating user-facing operational workflows.
• Knowledgeable in API integration, event-based ingestion, streaming data, SFTP, JDBC/ODBC connectivity, and automated data ingestion patterns.

-Familiar with CI/CD, automated testing, data observability, alerting, production support, incident management, and strong stakeholder communication and problem-solving skills

Travel Requirements

Not Specified

Job Posting End Date