About the role

Develop and implement automated testing frameworks for data-driven solutions while leveraging advanced analytics to extract insights from complex datasets. Collaborate with cross-functional teams to design data pipelines and apply machine learning algorithms to enhance data science projects.

What they look for

QA Automation Data Analytics Artificial Intelligence Machine Learning C++ R Data Modeling Predictive Analysis Neural Networks Data Visualization Data Pipelines Statistical Modeling Deep Learning Natural Language Processing Automated Testing Frameworks

Requirements

Requires at least a Bachelor's degree and a minimum of 2 years of relevant experience. Candidates should demonstrate proficiency in programming languages like C++ and R, along with strong skills in data science and statistical modeling.

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 Gen AI-QA Automation Tester-Senior Associate, you will play a pivotal role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. Within our Data and Analytics Engineering practice, you will focus on leveraging advanced analytics and statistical techniques to extract insights from large datasets, driving data-driven decision-making. You will work on exploratory and descriptive analysis, statistical modeling, and creating data visualizations to help solve complex business problems and inform strategic decisions.

As a Senior Associate, you will build meaningful client connections and learn how to manage and inspire others. You will navigate increasingly complex situations, growing your personal brand and deepening your technical skills. You are expected to anticipate the needs of your teams and clients, delivering quality work. Embracing increased ambiguity, you will be comfortable when the path forward isn’t clear, using these moments as opportunities to grow.

In this role at PwC Acceleration Center India, you will leverage your skills to analyze complex concepts and interpret data to inform insights and recommendations. You will uphold professional and technical standards, using a broad range of tools and methodologies to generate new ideas and solve problems.

Responsibilities

- Developing and implementing automated testing frameworks for data-driven solutions - Leveraging advanced analytics and statistical techniques to extract insights from complex datasets - Collaborating with cross-functional teams to design and optimize data pipelines and workflows - Utilizing programming languages such as C++ and R for data modeling and predictive analysis - Applying machine learning algorithms and neural networks to enhance data science projects - Conducting exploratory and descriptive analysis to support strategic decision-making - Building and maintaining data visualizations to communicate insights effectively - Troubleshooting data science workflows to improve data quality and accuracy - Engaging in continuous learning to stay updated with emerging technologies in artificial intelligence and data science - Supporting client engagements by providing technical guidance and innovative solutions

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 - Utilizing advanced data science algorithms and workflows - Demonstrating proficiency in programming languages such as C++ and R - Leveraging machine learning and deep learning techniques - Excelling in data-driven decision making and predictive modeling - Navigating complex data analysis and data engineering tasks - Applying natural language processing and neural network methodologies

Travel Requirements

Not Specified

Job Posting End Date