Senior AI Engineer

PwC

. Leverage advanced analytics and statistical techniques to extract insights from large datasets .

Posted 9/22/2026full-timeBangalore • IndiaSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in data science and machine learning, with a strong ability to analyze large datasets and derive actionable insights. Proficient in Python and familiar with Natural Language Processing techniques to solve complex business problems.

Highest-signal resume keywords

Data Science AlgorithmsMachine Learning TechniquesPython for Data AnalysisExploratory Data AnalysisNatural Language Processing

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data AnalysisStatistical TechniquesData VisualizationMachine LearningExploratory AnalysisData Solutions DevelopmentCritical ThinkingAnalytical ThinkingTroubleshooting WorkflowsLarge Dataset Management

Soft Skills

CollaborationCommunicationProblem Solving

Tools & Technologies

PySparkData Science WorkflowsData Processing

Industry Keywords

Artificial IntelligenceBusiness AnalyticsComputer ScienceInformation TechnologyStatistics

Tech Stack

Tools & technologies

PySparkPython

About the role

Key responsibilities & impact

Leverage advanced analytics and statistical techniques to extract insights from large datasets
Design and develop robust data solutions that transform raw data into actionable insights
Conduct exploratory and descriptive analysis to inform strategic decisions
Create data visualizations to solve complex business problems
Utilize machine learning algorithms to enhance data-driven decision-making
Troubleshoot data science workflows to optimize performance
Collaborate with clients to understand their needs and deliver tailored data solutions
Apply critical thinking to break down complex concepts and generate new ideas
Uphold professional and technical standards in client engagements
Interpret data to inform insights and recommendations for business growth
Work with global teams across Advisory, Assurance, Tax, and Business Services

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 study in 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, or Systems Engineering
Proficiency in data science algorithms and workflows
Knowledge of machine learning techniques to solve complex problems
Solid understanding of machine learning techniques and statistical analysis
Experience working with large datasets and performing exploratory data analysis
Hands-on experience in Python for data analysis and machine learning
Exposure to PySpark and large-scale data environments
Proficiency in Natural Language Processing (NLP) techniques
Analytical thinking to solve complex data challenges

Benefits

Comp & perks

Hands-on learning opportunities
Cutting-edge tools
Inclusive culture
Opportunity to grow skills and contribute to impactful client solutions