Senior Data Scientist

PwC

Data Scientist - Senior Associate leveraging advanced analytics and statistical techniques at PwC. Transforming raw data into actionable insights for informed decision-making and business growth.

Posted 7/8/2026full-timeBangalore • 🇮🇳 IndiaSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in advanced analytics, statistical modeling, and machine learning techniques to extract insights from large datasets. Proficient in data visualization and effective communication to support client objectives and drive business growth.

Highest-signal resume keywords

Machine Learning TechniquesStatistical AnalysisPython for Data AnalysisNatural Language Processing (NLP)Data Visualization

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Advanced AnalyticsStatistical ModelingExploratory Data AnalysisData ProcessingAnalytical Thinking

Soft Skills

Effective CommunicationClient Relationship ManagementCritical ThinkingAdaptability

Tools & Technologies

PythonPySpark

Industry Keywords

Data ScienceBusiness AnalyticsArtificial IntelligenceMachine LearningStatistics

Tech Stack

Tools & technologies

PySparkPython

About the role

Key responsibilities & impact

Leveraging advanced analytics and statistical techniques to extract insights from large datasets
Conducting exploratory and descriptive analysis to inform strategic decision-making
Developing and implementing statistical models to solve complex business problems
Creating data visualizations to effectively communicate insights and recommendations
Collaborating with clients to understand their data needs and deliver tailored solutions
Applying machine learning and natural language processing techniques to enhance data analysis
Utilizing analytical thinking to break down complex concepts and generate new ideas
Interpreting data to provide actionable insights and support client objectives
Upholding professional and technical standards in all data science activities
Building meaningful client connections and managing relationships to drive business growth

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
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 working with large-scale data environments.
Demonstrating proficiency in Natural Language Processing (NLP) techniques
Utilizing analytical thinking to solve complex data challenges
Applying machine learning models to derive actionable insights
Leveraging data science skills to enhance client solutions
Building meaningful client relationships through effective communication
Navigating complex situations with critical thinking and adaptability

Benefits

Comp & perks

hands-on learning
cutting-edge tools
inclusive culture