PwC
Data Science -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
Specialism
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 Science - Senior Associate, you will leverage advanced analytics and statistical techniques to transform raw data into actionable insights, driving data-driven decision-making and business growth. Within our Data and Analytics Engineering practice, you will focus on building meaningful client connections, managing and inspiring others, and navigating complex situations to deepen your technical skills and personal brand. You are expected to anticipate the needs of your teams and clients, delivering quality solutions even when the path forward is unclear.
Show full description
In this role at PwC Acceleration Center India, you will engage in exploratory and descriptive analysis, statistical modeling, and data visualization to solve complex business problems and inform strategic decisions. You will use a broad range of tools and methodologies to generate new ideas and solve problems, while developing a deeper understanding of the business context and how it is evolving. Upholding professional and technical standards, you will interpret data to inform insights and recommendations, responding effectively to diverse perspectives and needs. This position offers a unique opportunity to grow your skills in a dynamic environment, contributing to impactful client solutions.
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 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
- Developing and managing data pipelines and data lakes for efficient data processing
- Implementing data science algorithms and workflows to optimize data utilization
- Collaborating with clients to understand their needs and deliver tailored data solutions
- Applying critical thinking to break down complex concepts and generate new ideas
- Upholding professional and technical standards in all client engagements
What You Must Have
- At least a Bachelor's degree
- At least 2 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 algorithms and workflows
- Utilizing advanced machine learning techniques and tools like TensorFlow
- Excelling in complex data analysis and predictive modeling
- Leveraging programming languages such as Python, R, and MATLAB
- Applying data-driven decision-making in client-focused environments
- Navigating ambiguity while building meaningful client relationships
Travel Requirements
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.