Senior Associate – LLM Engineer

PwC

LLM - Engineer - Senior Associate transforming raw data into actionable insights at PwC. Collaborating globally to solve client challenges through data-driven decision making.

Posted 7/7/2026full-timeBangalore • 🇮🇳 IndiaSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and developing data solutions, utilizing advanced analytics, machine learning, and data visualization to drive strategic business decisions. Proficient in programming languages and data science methodologies, with a strong focus on data quality and mentoring junior team members.

Highest-signal resume keywords

Data Solution DesignMachine Learning ApplicationsData Visualization CreationProgramming Proficiency in C++ and RAdvanced Data Science Algorithms

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data AnalysisPredictive ModelingStatistical TechniquesData Pipeline ManagementData Lake DevelopmentExploratory AnalysisData Quality AssuranceDeep Learning ApplicationsData Science MethodologiesData Processing

Soft Skills

CollaborationMentoringCommunication

Tools & Technologies

Scikit-LearnTensorFlow

Industry Keywords

Artificial IntelligenceBusiness AnalyticsComputer ScienceData ScienceStatisticsEngineeringInformation Technology

Tech Stack

Tools & technologies

Scikit-LearnTensorflow

About the role

Key responsibilities & impact

Designing and developing data solutions to transform raw data into actionable insights
Leveraging advanced analytics and statistical techniques to extract insights from large datasets
Conducting exploratory and descriptive analysis to solve complex business problems
Creating data visualizations to inform strategic decisions and drive business growth
Utilizing machine learning and artificial intelligence to enhance data-driven decision making
Building and managing data pipelines and data lakes for efficient data processing
Implementing data science algorithms and workflows to optimize data analysis
Collaborating with clients to understand their data needs and deliver tailored solutions
Confirming data quality and integrity throughout the data engineering process
Mentoring junior team members and guiding them in data science methodologies

Requirements

What you’ll need

At least a Bachelor's degree
At least 4 years of experience
Oral and written proficiency in English required
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 programming languages such as C++ and R
Utilizing advanced data science algorithms and workflows
Navigating complex data analysis and predictive modeling
Excelling in machine learning and deep learning applications
Leveraging tools like Scikit-Learn and TensorFlow for AI solutions

Benefits

Comp & perks

Health insurance
Professional development opportunities