Data science is a most in-demand field, in todays job market. KPMG, a professional services firm has a workforce of data scientists who work across their advisory, tax and audit divisions. If you’re interested in launching or progressing your career in data science pursuing opportunities at KPMG could be highly beneficial.
In this guide for beginners we will cover all the information you need to know about securing a data science position at KPMG in 2023. We will delve into topics such as the career paths within data science at KPMG the qualifications required, as well as insights into their interview process along with valuable tips, on how to make yourself stand out amongst other candidates. Lets dive in!
About KPMG in India
KPMG entities in India are professional services firm(s). These Indian member firms are affiliated with KPMG International Limited. KPMG started its operations, in India in August 1993. Our team members utilize the network of firms and possess knowledge about local laws, regulations, markets and competition. KPMG has offices across India in kpmg bangalore, kpmg gurgaon, kpmg global services, kpmg mumbai, kpmg bangalore office, kpmg pune, kpmg hyderabad, kpmg internship, kpmg chennai, kpmg kolkata, kpmg kochi.
KPMG entities in India offer services to national and international clients in India across sectors. We strive to provide rapid, performance-based, industry-focused, and technology-enabled services, which reflect a shared knowledge of global and local industries and our experience of the Indian business environment.
Company Website: www.kpmg.com
Job Role: Data Science Analyst
Qualification: Bachelor’s / Master’s degree
Batch: 2020 / 2021/2022/2023
Salary: ₹ 6.7 LPA
Job Location: Mumbai, India
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Lighthouse, KPMG’s Big Data, AI and analytics practice has deep industry specialization and focuses on solution delivery for Data Engineering, Data Science, Data Visualization, and Process Analytics.
As a data scientist, you will be responsible for collecting, analyzing, and interpreting complex data sets to derive insights and create actionable recommendations for business decisions. Some key responsibilities and qualifications are mentioned below.
Job Role and Responsibilities
- 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.
- 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.
How to apply in KPMG India
To apply for this Off Campus Drive, interested candidates must follow the procedure outlined below:
- Click on the “Apply here” button provided below. You will be redirected to the official career page.
- Click on “Apply”.
- If you have not registered before, create an account.
- After registration, login and fill in the application form with all the necessary details.
- Submit all relevant documents, if requested (e.g. resume, mark sheet, ID proof).
- Verify that all the details entered are correct.
- Submit the application form after verification.
KPMG Data Science Analyst Interview Process
The Data Science Analyst interview process typically comprises three rounds:
1. Initial online assessment – This consists of multiple-choice questions testing your technical knowledge in statistics, Python, SQL, machine learning and more.
2. Technical interview – Involves algorithm questions, SQL queries, statistical analysis, coding exercises and discussions to assess your technical abilities. Be ready to demonstrate your working knowledge.
3. Case interview – You will be given a business problem and asked to solve it using your analytics skills. This evaluates your problem-solving aptitude, analytical thinking and communication skills.
Throughout the interviews, focus on demonstrating your technical proficiency, data science competencies and strategic mindset. Know your resume well and be prepared to discuss your project experience in detail.
The process is rigorous but rewards data science talent. With diligent preparation, you can stand out from the competition.
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