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À propos de ce poste Data Scientist - Senior Associate chez PwC

PwC · Sur site · Bangalore (SDC) - Table Space Towers - Bangalore

Industry/Sector

Not Applicable

Specialism

Data, Analytics & AI

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 Technology Consulting 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 and deepen your technical skills. You are expected to anticipate the needs of your teams and clients, delivering quality solutions even when the path forward isn’t clear.

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 and methodologies to generate new ideas and solve problems, while upholding professional and technical standards. This position offers an opportunity to develop a deeper understanding of the business context and how it is changing, using reflection to enhance strengths and address development areas.

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 and predictive modeling to drive data-driven decision-making
- Developing and maintaining data pipelines and data lakes for efficient data processing
- Applying data science algorithms and workflows to enhance data quality and integrity
- Collaborating with clients to understand their data needs and deliver tailored solutions
- Mentoring junior team members in data science methodologies and best practices
- 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 for predictive modeling
- Excelling in complex data analysis and data-driven decision making
- Leveraging programming languages such as Python, R, and MATLAB
- Applying knowledge of neural networks and deep learning frameworks
- Navigating ambiguity while building meaningful client relationships

Travel Requirements

Not Specified

Job Posting End Date

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À propos de PwC

Are you ready to make a difference? Want to unlock new value by applying your unique perspective and talents? You can grow exponentially at PwC. Here, you can uncover hidden talents, build lifelong relationships rooted in trust and empathy and turn challenges into opportunities for innovation. We’ll help you grow your skills through challenging, meaningful work so you can go further.

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