About the role

The role involves leveraging advanced analytics and statistical techniques to transform raw data into actionable insights for strategic decision-making. You will also be responsible for developing robust data solutions, maintaining data pipelines, and mentoring junior team members.

What they look for

Data Science Machine Learning Python R MATLAB Statistical Modeling Data Visualization Predictive Modeling Data Engineering Data Pipelines Data Lakes Exploratory Data Analysis Analytical Thinking Problem Solving Consulting Mentoring

Requirements

Candidates must hold at least a Bachelor's degree and possess a minimum of 4 years of relevant experience. Proficiency in programming languages such as Python, R, or MATLAB and strong expertise in machine learning algorithms are required.

Full description

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 - AI/ML - Engineer - 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 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 a unique opportunity to develop a deeper understanding of the business context and how it is evolving, 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 decisions - Creating data visualizations to solve complex business problems - Utilizing machine learning algorithms and predictive modeling to drive data-driven decision making - Developing and maintaining data pipelines and data lakes for efficient data processing - Implementing data science workflows and troubleshooting to optimize performance - Applying programming languages such as Python, R, and MATLAB for data analysis and modeling - Collaborating with clients to understand their needs and deliver tailored data solutions - Navigating complex situations to grow personal brand and deepen technical skills - Upholding professional and technical standards in all client engagements - Mentoring junior team members and guiding them in data science methodologies

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 - Demonstrating proficiency in data science algorithms and workflows - Utilizing programming languages such as C++, R, and MATLAB - Applying machine learning techniques for predictive modeling - Leveraging data engineering skills for complex data analysis - Excelling in data-driven decision making and analytical thinking - Navigating complex data environments with creativity and innovation

Travel Requirements

Not Specified

Job Posting End Date