KPMG Recruitment Drive for 2023 Freshers

About Company : KPMG is one of the world’s leading professional services firms and the fastest growing Big Four accounting firm in the United States. With 75+ offices and more than 40,000 employees and partners throughout the US, we’re leading the industry in new and exciting ways. Our size and strength make us much more agile and responsive to changing trends.

Company Full Name : KPMG
Job Role : Data Science Analyst
Degree Needed : ME/MTech/MCA/MSC
Batch : Any Batch
Location : Mumbai

Job Description :
Roles and Responsibility :

Collecting and preprocessing large datasets from multiple sources.
Cleaning and filtering data to remove irrelevant or inaccurate information.
Conducting exploratory data analysis to identify patterns, trends, and correlations in the data.
Developing and implementing statistical models and machine learning algorithms to solve business problems.
Creating and maintaining data pipelines and databases for efficient data storage and retrieval.
Collaborating with cross-functional teams to understand business objectives and formulate data-driven solutions.
Presenting findings and insights to stakeholders in a clear and concise manner.
Continuously monitoring and evaluating the performance of data models and algorithms.
Staying up to date with emerging data science techniques, tools, and industry trends.

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Required Qualification and Skills :

Strong knowledge of statistics, mathematics, and machine learning algorithms.

Proficiency in programming languages such as Python or R for data manipulation and analysis.
Experience with data visualization tools and techniques.
Familiarity with databases and SQL for data retrieval and management.

Ability to understand and work with large and complex datasets.
Strong problem-solving and critical-thinking skills.
Excellent communication and presentation skills to effectively convey complex findings to non-technical stakeholders.
Ability to work independently and in a team environment.
Experience in data engineering or software development is a plus.
A degree in fields such as data science, computer science, mathematics, or a related discipline is typically required, while a master’s or doctoral degree is often preferred.