PwC
Operations Engineer - Palantir Foundry-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 an Operations Engineer - Palantir Foundry, you will play a pivotal role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth within our Data and Analytics Engineering practice. You will focus on leveraging advanced analytics and statistical techniques to extract insights from large datasets and drive data-driven decision-making. As a Senior Associate, you will build meaningful client connections, manage and inspire others, and navigate increasingly complex situations. You are expected to anticipate the needs of your teams and clients, delivering quality solutions while embracing ambiguity and using these moments as opportunities for growth.
Show full description
In this role at PwC Acceleration Center India, you will utilize a broad range of tools, methodologies, and techniques to generate new ideas and solve problems. You will develop a deeper understanding of the business context and how it is evolving, interpreting data to inform insights and recommendations. Upholding professional and technical standards, you will contribute to the firm's code of conduct and independence requirements, fostering a culture of continuous improvement and innovation. This position offers a unique opportunity to enhance your skills and grow your personal brand while making a significant impact on client engagements.
Responsibilities
-Administer Palantir's Foundry instance and manage support processes
-Build and maintain data pipelines for operational excellence
-Develop in-house software platforms to refine support ticket assignments
-Create visualizations of financial data for internal stakeholders
-Monitor system performance and generate alerts for deviations
-Deliver exceptional features and enhancements to the platform
-Collaborate with stakeholders to improve deployment ecosystems
-Continuously seek opportunities for operational improvements
What You Must Have
- At least a Bachelor's & Master'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 proficiency in data science workflows and algorithms
- Utilizing machine learning and deep learning techniques effectively
- Excelling in complex data analysis and predictive modeling
- Leveraging programming languages such as Python, R, and MATLAB
- Applying data engineering skills to manage data pipelines and quality
- Navigating ambiguity while building meaningful client relationships
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.