PwC
Data Scientist - 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 Science
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 Data Scientist - Senior Associate, you will leverage advanced analytics and statistical techniques to transform raw data into actionable insights, enabling informed decision-making and driving business growth. Within our Advisory - Other practice, you will focus on building meaningful client connections and learning how to manage and inspire others. Navigating increasingly complex situations, you will grow your personal brand, deepen your technical skills, and enhance your awareness of strengths. You are expected to anticipate the needs of your teams and clients, and to deliver quality.
Show full description
In this role at PwC Acceleration Center India, you will work on exploratory and descriptive analysis, statistical modeling, and creating data visualizations to help solve complex business problems and inform strategic decisions. You will use a broad range of tools, methodologies, and techniques to generate new ideas and solve problems. By interpreting data to inform insights and recommendations, you will develop a deeper understanding of the business context and how it is changing. This position offers a unique opportunity to embrace increased ambiguity, ask questions, and use these moments as opportunities to grow.
Responsibilities
- Leveraging advanced analytics and statistical techniques to extract insights from large datasets
- Designing and developing robust data solutions to transform raw data into actionable insights
- Conducting exploratory and descriptive analysis to inform strategic decision-making
- Creating data visualizations to solve complex business problems
- Utilizing machine learning algorithms to enhance data-driven decision-making processes
- Collaborating with clients to understand their data needs and deliver tailored solutions
- Managing data science workflows to optimize efficiency and effectiveness
- Troubleshooting data science algorithms to improve performance and accuracy
- Applying critical thinking to break down complex concepts and develop innovative solutions
- Interpreting data to inform insights and recommendations for business growth
What You Must Have
- At least a Bachelor'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
- Utilizing data science algorithms to enhance client solutions
- Navigating complex data science workflows with precision
- Familiarity with AI techniques and prompt engineering
- Solid understanding of machine learning techniques and statistical analysis
- Exposure to PySpark and large-scale data environments
- Building meaningful client connections through data-driven insights
- Developing machine learning models to solve business challenges
- Excelling in data science troubleshooting for client engagements
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
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