Data Science Jobs in India: Eligibility, Salaries, and Career Prospects

published on
Jul 2, 2024
4 Min REad
Table of Content

Are you a recent graduate who's finding it hard to find a job in your field? You're not alone. Many fresh graduates face this challenge, especially when it comes to finding good-paying jobs that align with their interests and qualifications. However, have you ever considered a career in data science?

Data science jobs are becoming increasingly important across all industries as companies continue to rely on data-driven insights for their business operations. In this article, we'll explore the world of data science jobs and provide guidance on eligibility requirements, salaries, career prospects, specialisations, and upskilling opportunities available in India.

 

What is Data Science?

Data science is a multidisciplinary field that uses scientific and statistical methods to extract insights and knowledge from data sets. With the rise of digital data collection and storage, companies need skilled professionals who can help them make sense of this data. This is where data science comes in.

  • As a data scientist, you'll be responsible for collecting, cleaning, analysing, and interpreting large amounts of structured and unstructured data.
  • Data scientists use various Data science tools, such as Python, R, and SQL, to create algorithms and models to identify patterns and trends in the data.
  • A data scientist needs technical skills such as coding abilities and familiarity with machine learning algorithms.
  • They also require non-technical skills such as critical thinking and communication skills.

Job Potential and Career Growth

With the exponential growth of digital information comes an ever-increasing demand for skilled professionals who can analyse it. As businesses rely heavily on big data to make strategic decisions, today's global marketplace presents tremendous opportunities for aspiring data scientists.

Top sectors hiring data scientists include:

  • Banking and financial services
  • E-commerce and retail
  • Healthcare and pharma
  • IT and technology services
  • Telecom
  • FMCG and consumer durables

Data science jobs offer excellent growth prospects and plenty of advancement opportunities within organisations. With experience or additional education or certification courses under your belt, you could progress into roles such as Senior Data Scientist or even Chief Analytics Officer.

Top Industries Hiring Data Scientists

Industry

Percentage of companies hiring data scientists

Banking & Financial Services

30%

E-commerce & Retail

27%

Healthcare & Pharma

18%

IT & Technology Services

13%

Telecom

7%

FMCG & Consumer Durables

5%

Salaries in Data Science Jobs

Data science jobs are known to offer high salaries, reflecting the market demand for skilled professionals in this field. The average starting salary for a data scientist in India ranges from ₹5 lakhs to ₹10 lakhs per annum. With experience and additional certification courses, the data science salary figures significantly increase.

The top-paying job roles in data science include:

  • Data Architect
  • Data Engineer
  • Machine Learning Engineer
  • Business Intelligence Analyst

Several factors affect the salaries of data scientists.

  • Location is one of the most critical factors affecting payment. Data scientists working in metropolitan cities like Mumbai, Delhi NCR, or Bangalore earn significantly more than those working in smaller cities. Industry-wise, Financial services and E-commerce pay better than other sectors.
  • Other factors affecting salaries are education level and experience. A Master's degree holder earns a higher salary than a Bachelor's degree holder. Similarly, an experienced data scientist with five or more years of work experience can earn up to ₹20-25 lakhs per annum.

Top Paying Job Roles in Data Science

Job Role

Median Annual Salary

Data Architect

₹15 Lakhs

Data Engineer

₹14 Lakhs

Machine Learning Engineer

₹13 Lakhs

Business Intelligence Analyst

₹11 Lakhs

Education and Certification in Data Science

Several universities across India offer dedicated degree programmes in data science at both the undergraduate and postgraduate levels.

Some popular degree courses include:

  • BSc./BTech./BE in Computer Science/Statistics/Mathematics
  • Masters' degrees such as M.Tech., M.Sc., MBA, Data Analytics, or Management 
  • PG Diploma in Data Science

Popular Degree Courses in India for Data Science

Degree Course

Duration

Fees (INR)

BSc. in Computer Science/Statistics/Mathematics

3 years

50,000 - 1.5 lakhs

BTech./BE in Computer Science/Statistics/Mathematics

4 years

5 lakhs - 12 lakhs

M.Tech/M.Sc/MBA/Data Analytics or Management

2 years

1 lakh - 6 lakhs

PG Diploma in Data Science

1 year

50,000 - 3 lakhs


Apart from the traditional degree programmes, there are several online certification programmes and upskilling courses offered by reputed institutions.

Online certification programmes offer professionals a chance to upskill themselves while continuing with their jobs. Many reputed institutions offer certification courses in data science and related fields. These courses are often shorter than degree courses and provide hands-on training in specific areas of data science like Machine Learning, Data Warehousing, and Business Analytics.

Certifications and Degrees: Which one's better for you?

Certifications

Degrees

Short-term commitment

Long-term commitment

Focused on specific skills

Holistic education

Less expensive

More expensive

Increases earning potential quickly

Takes time to see returns

Upskilling Opportunities

Upskilling is essential for those seeking career advancement in the field of data science. Continuous learning is crucial for professionals to stay updated with evolving trends and technologies.

Some future trends for upskilling in data science include:

  • Artificial Intelligence
  • Automation
  • Natural Language Processing (NLP)
  • Advanced Machine Learning
  • Data Visualisation
  • Cloud Computing

WIZR offers guidance and financial assistance to young professionals seeking career-focused training programmes that enable them to acquire new skills and certifications that would significantly boost their careers.

 

Specialisations within Data Science Jobs

Data Science has several specialisations, including machine learning, deep learning, computer vision, NLP, and AI. In recent years, specialisation in AI has gained more popularity due to its extensive use across industries.

To pursue these specialisations, professionals need to have the relevant skills and expertise. Certifications in these specialised fields can help you stand out from other candidates.

 

Become a Successful Data Scientist

In conclusion, data science is an exciting field with a huge demand for skilled professionals. Whether you are a fresh graduate or someone looking to switch careers, there are many opportunities waiting for you in this field.

With WIZR's help, you can easily find the best courses and training programmes that fit your needs and take your career to the next level.

 

FAQs

1. Who earns more: a data scientist or a data analyst?

Data scientists generally earn more than data analysts due to their advanced skill set and expertise in machine learning algorithms.

2. What are some of the top companies hiring data scientists?

Top companies hiring data scientists include TCS, Amazon, IBM, Accenture, Deloitte, and PWC India, among others.

3. What is the salary of some senior roles in data science?

Senior roles such as Data Science Manager or Chief Data Officer can command salaries upwards of ₹30 lakhs per year.

4. Can I pursue a data science degree or diploma without studying computer science in class 12?

Yes. Many universities offer Bachelor's degrees and postgraduate programmes with specialisations in Data Science for students from diverse backgrounds, including Commerce and Humanities.

5. What are the challenges in data science?

Dealing with vast amounts of information while keeping up with fast-changing technology is a challenge in data science. Additionally, working with complex algorithms and interpreting data accurately requires analytical and critical thinking skills.

Key takeaways

Related articles

Explore Courses

Explore more topics