Last Updated on September 30, 2023 by GeeksGod
KPMG Freshers Job in 2023
KPMG Data Science Jobs 2023 for freshers (Analyst Job): Entities in India are professional services firm(s). These Indian member firms are affiliated with KPMG International Limited. KPMG was established in India in August 1993. Our professionals leverage the global network of firms, and are conversant with local laws, regulations, markets, and competition. KPMG has offices across India in Ahmedabad, Bengaluru, Chandigarh, Chennai, Gurugram, Hyderabad, Jaipur, Kochi, Kolkata, Mumbai, Noida, Pune, Vadodara and Vijayawada.
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.
Overview for KPMG Data Science Jobs 2023
Lighthouse, KPMG’s Big Data, AI & 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 qualification are mentioned below.
| Job Title | KPMG Data Science Jobs 2023 |
|---|---|
| Description | 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 ( not compulsory but preferred) |
| Estimated salary | Per hour – |
| Work Location | Postal code : Mumbai |
| Employment Type | FULL TIME |
Responsibilities for KPMG Data Science Jobs 2023
- 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.
Eligibility Criteria for KPMG Data Science Jobs 2023
- 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.
| Job Information | Details |
|---|---|
| Job Title | Advisory-Management-P Data Science Analyst |
| Location | Mumbai, Maharashtra, India |
| Job Description | See the detailed job description in the provided content. |
| Overview | KPMG’s Big Data, AI & Analytics practice focusing on Data Engineering, Data Science, Data Visualization, and Process Analytics. |
| Responsibilities | – Collecting and preprocessing large datasets – Cleaning and filtering data – Conducting exploratory data analysis – Developing statistical models and machine learning algorithms – Creating and maintaining data pipelines and databases – Collaborating with cross-functional teams – Presenting findings to stakeholders – Monitoring data model performance – Staying updated with data science trends |
| Qualifications | – Strong knowledge of statistics, mathematics, and ML algorithms – Proficiency in Python or R – Experience with data visualization – Familiarity with databases and SQL – Strong problem-solving skills – Excellent communication and presentation skills – Ability to work independently and in a team – Data engineering or software development experience (a plus) – Relevant degree in fields like data science, computer science, mathematics, or related disciplines (typically required) |
| Equal Opportunity Employer (EOE) | KPMG India is committed to equal opportunity for all applicants and employees, regardless of various factors. Supporting diversity is a key value. |
| Job Info | – Job Identification: INTG10010778 – Posting Date: 09/06/2023, 01:22 AM – Apply Before: 12/31/2023, 01:22 AM – Job Schedule: Full time – Location: 15th Floor and 16th Floor – Central B Wing and North C Wing, Nesco IT Park 4, Mumbai, Maharashtra, 400063, IN |
| Similar Jobs | Other similar jobs within KPMG India’s offerings. |
| Job Title | KPMG Data Science Jobs 2023 |
|---|---|
| Description | 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 ( not compulsory but preferred) |
| Estimated salary | Per hour – |
| Work Location | Postal code : Mumbai |
| Employment Type | FULL TIME |
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