About the Organisation:
PricewaterhouseCoopers International Limited is a multinational professional services brand of firms, operating as partnerships under the PwC brand. It is the second-largest professional services network in the world and is considered one of the Big Four accounting firms, along with Deloitte, EY and KPMG.
About the Role:
A career within Data and Analytics services will provide you with the opportunity to help organisations uncover enterprise insights and drive business results using smarter data analytics. We focus on a collection of organisational technology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within their organisations in order to keep up with the changing nature of customers and technology. We make impactful decisions by mixing mind and machine to leverage data, understand and navigate risk, and help our clients gain a competitive edge.
Creating business intelligence from data requires an understanding of the business, the data, and the technology used to store and analyse that data. Using our Rapid Business Intelligence Solutions, data visualisation and integrated reporting dashboards, we can deliver agile, highly interactive reporting and analytics that help our clients to more effectively run their business and understand what business questions can be answered and how to unlock the answers.
Job Description & Summary:
Embark on a rewarding career journey with our Data and Analytics services. As an Intern/Trainee, you’ll contribute to uncovering enterprise insights and driving business results through smart data analytics. Our focus areas include business intelligence, data management, and data assurance. We help clients innovate, grow, and adapt to changing customer and technology landscapes.
Key Responsibilities:
- Experience using statistical computer languages to manipulate data and draw insights from large data sets.
- Experience working with and creating data architectures.
- Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks.
Education:
- B.Tech
Required Skills:
- Experience in using statistical computer languages
- Proficiency in creating data architectures
- Knowledge of machine learning techniques
- Strong analytical and problem-solving skills
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