B.Sc Data Science Jobs, Scope, Salary in India 2024
BSc Data Science job opportunities span a broad spectrum of roles, making it a versatile and promising field. Graduates can pursue jobs after a BSc in Data Science course as Data Analysts, Data Scientists, Machine Learning Engineers, and Business Analysts. Other BSc Data Science jobs include Data Engineers, Database Administrators, Quantitative Analysts, Research Scientists, etc.
B.Sc in Data Science salary in India is in the range of INR 3.5-7 LPA [Source: Glassdoor]. However, these figures tend to grow with experience, offering higher earning potential. Renowned companies like Amazon, Deloitte, LinkedIn, Flipkart, IBM, and Accenture are among the top recruiters, providing competitive average salaries ranging from INR 8 to 14 LPA.
Table of Contents
- BSc Data Science Jobs in India
- B.Sc in Data Science Salary in India
- Career Scope of BSc Data Science Course
Also, Check: How to Become a Data Scientist
BSc Data Science Jobs in India
The demand for professionals with BSc Data Science degrees is on a steady rise as industries across the board recognize the value of data-driven decision-making. This growing demand for data science expertise highlights the pivotal role of BSc Data Science graduates in various sectors, from technology and finance to healthcare and beyond.
Detailed below is the breakdown of the jobs after BSc Data Science.
Entry Level Jobs for BSc Data Science Graduates
Entry-level roles in BSc Data Science are where graduates commence their journey, applying foundational knowledge in data analysis. These positions involve data collection, analysis, and support for more experienced professionals. The entry-level jobs after BSc Data Science salary ranges from INR 3.5-7 LPA.
|
Job Designation |
Description |
Average BSc Data Science Per Month Salary |
|
Data Analyst |
Entry-level data analysts are responsible for collecting, processing, and analyzing data to help organizations make informed decisions. |
INR 30,000 |
|
Business Analyst |
These professionals work on understanding business needs, translating them into data requirements, and helping organizations improve their processes. |
INR 25,000 |
|
Research Assistant |
Graduates can work as research assistants in various research projects, collecting and analyzing data to support research goals. |
INR 28,000 |
|
Junior Data Scientist |
In this role, individuals assist senior data scientists in data analysis and machine learning tasks. |
INR 32,000 |
|
Web Analyst |
Web analysts focus on website performance and user behavior, helping businesses optimize their online presence. |
INR 23,000 |
Government Jobs for BSc Data Science Graduates
The job opportunities for BSc Data Science graduates in the government sector are vast due to the demand for professionals to apply data expertise for public welfare and policy making. These positions involve data collection, analysis, and privacy enforcement to contribute to effective governance.
Below listed are a few govt jobs after BSc Data Science course:
|
Job Designation |
Description |
|
Data Officer |
Data officers manage and analyze data for policy development and decision-making. |
|
Statistical Officer |
Statistical department officers gather and analyze data to support government initiatives. |
|
Data Inspector |
Data inspectors ensure data security and privacy compliance in government agencies. |
|
Public Health Data Analyst |
In the health sector, data analysts help in monitoring health trends and providing data-driven insights. |
|
Quantitative Analyst (Quant) |
Quants work in the finance sector, applying data analysis to financial modeling and risk assessment. |
Private Jobs for BSc Data Science Graduates
The BSc Data Science scope in India is diverse across the private sector industries. Data experts in these roles optimize business strategies and decisions by leveraging data insights, contributing to corporate success.
Below listed are B.Sc Data Science opportunities for graduates in the private sector:
|
Job Designation |
Description |
|
Data Scientist |
Data scientists extract valuable insights from data for strategic decision-making. |
|
Machine Learning Engineer |
Machine learning engineers design and implement machine learning models for various applications, from e-commerce to healthcare. |
|
Database Administrator |
These professionals manage, maintain, and secure an organization's databases. |
|
Data Engineer |
Data engineers build data pipelines, ensuring data is accessible and ready for analysis. |
|
Business Intelligence Analyst |
These analysts create reports and visualizations to help businesses understand their data better. |
|
Market Research Analyst |
Private companies often employ market research analysts to study market trends and customer behavior. |
B.Sc in Data Science Salary in India
The BSc Data Science salary in India varies significantly based on factors such as experience, job roles, and the sectors they choose to work in. The average entry level B.Sc Data Science salary per month is in the range of INR 30,000-58,000. After 3 to 5 years of experience earn more than INR 10 LPA.
However, the BSc Data Science salary in India is dependent on various factors. An overview of the BSc Data Science salary is detailed in the table below.
|
BSc Data Science Salary |
Amount (INR) |
|
Highest Salary |
More than INR 10 LPA |
|
Lowest Salary |
2 LPA |
|
Average Salary |
4 LPA |
B.Sc Data Science Salary Based on Job Designations
The B.Sc Data Science scope and salary vary for different job roles, from Data Scientists to Data Analysts and beyond. The following section delves into salary figures for various positions, both for freshers and professionals with several years of experience.
|
Job Role |
Average Salary For Freshers |
Average Salary for 5+ years Experience |
|
Data Scientist |
INR 3.6 LPA |
INR 8-9 LPA |
|
Data Analyst |
INR 4 LPA |
INR 7-11.5 LPA |
|
Big Data Administrator |
INR 3.5 LPA |
INR 6-7.5 LPA |
|
Machine Learning Engineer |
INR 3 LPA |
INR 5-8 LPA |
|
Data Engineer |
INR 3.1 LPA |
INR 6-8 LPA |
Experience Wise B.Sc Data Science Salary
Several factors, such as university placements, internship experiences, projects, type of institution, skill set, etc, influence the B.Sc Data Science salary in India. The following table shows the range of average salaries based on experience:
| Experience (in Years) | Highest Salary (INR) | Average Salary (INR) | Lowest Salary (INR) |
| 0 - 2 | 7.0 LPA | 4.0 LPA | 3.0 LPA |
| 3 - 6 | 12.0 LPA | 5.5 LPA | 3.5 LPA |
| 7 - 10 | 13.5-14 LPA | 8.0 LPA | 7.0 LPA |
| 11 - 15 | 15-18 LPA | 10.5 LPA | 8-9 LPA |
| 16 & Above | 19-22 LPA | 12-14 LPA | 9.5-10 LPA |
B.Sc Data Science Salary Based on Sectors
The B.Sc Data Science scope and salary are diverse not only in career options but also in the sectors it encompasses. Graduates in B.Sc Data Science can explore opportunities in both the private and public sectors.
This section delves into the B.Sc in Data Science salary ranges and job prospects within these distinct sectors, offering insights into the earning potential for data science professionals.
Top Recruiters in the Private Sector for BSc Data Science Graduates
The private sector in India offers substantial opportunities for B.Sc Data Science graduates as top recruiters seek data professionals to drive their businesses. The average BSc Data Science salary per month in private sector is between INR 38,000-56,000.
Below listed are the annual salaries offered by key private-sector employers for BSc Data Science graduates:
|
Top Recruiters |
Average Annual Salary |
|
Deloitte |
INR 6.6 LPA |
|
Amazon |
INR 5.5 LPA |
|
TCS |
INR 5.6 LPA |
|
Accenture |
INR 6.8 LPA |
|
IBM |
INR 6 LPA |
Top Recruiters in the Government Sector for BSc Data Science Graduates
Beyond the private sector, the public sector, including organizations like RBI and ISRO, also offers rewarding roles for BSc Data Science graduates. The table below highlights the top public sector recruiters with their average annual salary:
|
Top Recruiters |
Average Annual Salary |
|
NABARD |
INR 5 LPA |
|
NIUA |
INR 8 LPA |
|
THSTI |
INR 8.5 LPA |
|
RBI |
INR 18.6 LPA |
|
ISRO |
INR 15 LPA |
Career Scope for BSc Data Science Graduates
The scope of BSc Data Science job opportunities is vast, offering graduates a diverse array of professional opportunities in both the private and public sectors.
Graduates are equipped to excel in roles across various domains, including data analysis, machine learning, and business intelligence. Some key areas of recruitment include:
|
Areas of Recruitment |
Job Roles for B.Sc Data Science Graduates |
|
Business and Finance |
Data Analyst, Quantitative Analyst, Business Analyst. |
|
Healthcare and Life Sciences |
Healthcare Data Analyst and Bioinformatics Analyst. |
|
Technology and IT |
Data Scientist, Machine Learning Engineer, Data Engineer. |
|
Government and Public Policy |
Data Analyst, Data Privacy Officer, Data Administrator. |
|
Marketing and Advertising |
Digital Marketing Analyst, Marketing Research Analyst, Data Consultant. |
Top BSc Data Science Recruiters
BSc Data Science job opportunities are offered by some of the top recruiters such as Microsoft, Amazon, HCL Tech, etc. An overview of the job roles offered along with the average annual salary is detailed below:
|
Top Recruiters |
Job Roles |
Average BSc in Data Science Salary |
|
Amazon |
Data Analysts, Web Analyst, Market Research Analysts, Marketing Analyst, Data Scientist, etc. |
INR 5 - 15 LPA |
|
Flipkart |
Data Analysts, Web Analyst, Market Research Analysts, Marketing Research Analyst, Data Scientist, etc. |
INR 5.9 - 14 LPA |
|
IBM |
Data Scientist, Data Engineer, Data Analyst, etc. |
INR 5 - 16.5 LPA |
|
Deloitte |
Financial Data Analyst, Data Scientist, Researcher, etc. |
INR 4 - 13.4 LPA |
|
|
Data Analyst, Data Engineer, Data Developer, Research and Marketing Analyst, etc. |
INR 5 - 13.3 LPA |
|
TCS |
Data Analysts, Market Trend Analyst, etc. |
INR 5.6 LPA |
|
HCL Technologies |
Machine Learning Engineer, Data Scientist, Data Analyst, etc. |
INR 8.3 LPA |
|
Wipro |
Business Analyst, Trend Analyst, etc. |
INR 10.3 LPA |
|
Accenture |
Research Scientist, Data Mining Specialist, etc. |
INR 8-12 LPA |
Courses After BSc Data Science
BSc Data Science graduates have the option to pursue advanced certifications and higher education to refine their skills and stay at the cutting edge of data science. Below listed are courses that can be pursued after BSc Data Science:
- Master's in Data Science
- Certifications in specialized areas such as Natural Language Processing or Big Data Analytics
- Doctorate in Data Science
- PhD in Data Science
Factors to Consider Before Choosing a Job
In order to have a successful career path it is important to evaluate key factors that can influence BSc Data Science job scope such as industry growth rate, market dynamics, future potential, etc. Here are five key factors to consider before choosing a B.Sc Data Science job:
- Industry and Domain: Data science is applicable in various sectors like finance, healthcare, technology, and more. Consider which area aligns with your passion and career goals.
- Job Role and Responsibilities: Research and assess if the responsibilities and daily tasks of the role match your skills and interests.
- Location and Mobility: Some industries may have higher demand in specific regions, and mobility might be necessary for certain roles.
- Company Culture: Assess the company's culture, work environment, and values.
- Career Growth and Learning Opportunities: Evaluate the company's commitment to employee development. Look for opportunities for further education, certifications, and advancement within the organization.
Skills Required for BSc Data Science Jobs
BSc Data Science scope and salary vary based on the experience and skills the candidate has that help them to have an edge in a competitive job market. Listed below are some of the skills necessary to perform well after getting a BSc Data Science job:
- Data Analysis Proficiency: A solid grasp of data analysis tools and programming, including Python, R, and SQL, to handle and interpret data effectively.
- Statistical and Machine Learning Expertise: Understanding statistical methods and machine learning algorithms to derive insights and predictive models from data.
- Data Management: Skills in managing databases, ensuring data quality, and efficient querying for analysis.
- Data Visualization and Communication: The ability to create compelling data visualizations and effectively communicate findings to both technical and non-technical stakeholders.
- Problem-Solving and Ethical Practices: Strong problem-solving abilities, combined with ethical considerations, to navigate complex data challenges while adhering to data privacy and ethical standards.
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Result Date: Mar 22, 2024
B.Sc Data Science Fee Structure
FAQs on B.Sc Data Science Job, Scope and Salary
Q: Is BSc Data Science worth it?
A: Yes, pursuing BSc Data Science can be highly worthwhile, given the increasing demand for data-driven decision-making in today's world.
Q: Can I get a placement after BSc Data Science?
A: Yes, BSc Data Science graduates have excellent placement prospects with roles such as Data Analysts, Data Scientists, and more.
Q: What is the highest salary for BSc Data Science?
A: The highest salary for BSc Data Science can vary, but experienced professionals in the field can earn impressive salaries, often in the range of 15 - 20 LPA.
Q: What is the salary for a fresher in Data Science?
A: The entry level BSc Data Science salary in India per month is between INR 17,000-58,000. However, these figures can vary based on factors like location and job role.
Q: After BSc Data Science which course is best?
A: The best courses after BSc Data Science include MBA in Business Analytics, Big Data Analytics Certification, MSc in Data Science, etc.
Q: Which industry offers the highest salary to Data Science professionals?
A: Organizations in finance, technology, and healthcare industries offer the highest salary to Data Science professionals.
Q: What is the difference between data scientists and data analysts?
A: Large-scale data collection, cleansing, and analysis utilizing a variety of statistical and machine-learning methods are within the purview of data scientists. Data analysts concentrate on analyzing and presenting data to stakeholders in a simplified manner.
