Data science is one of the fastest-growing and most lucrative fields in India. In fact, data shows that the average data science salary in India has increased by over 12% in the last year alone.
With such impressive growth, it's no wonder that so many people are looking to pursue a career in this field. If you're one of them, then this article is for you.
What is Data Science?
Data science is an interdisciplinary field that involves the extraction, analysis, and interpretation of large volumes of data using a combination of mathematical, statistical, and computational techniques.
It encompasses a wide range of sub-fields such as machine learning, artificial intelligence, predictive modelling, and data mining. The demand for skilled professionals who can work with these technologies has been growing rapidly over the past few years.
Data Science Job Roles
Data science job roles consist of various positions that require different skills and responsibilities.
- Machine Learning Engineer: Develops smart machines capable of performing tasks without explicit instructions.
- Business Intelligence Analyst: Analyses complex data sets to derive insights into business operations.
- Data Scientist: Builds predictive models using machine learning algorithms.
- Database Administrator: Manages large volumes of data.
- Big Data Analyst: Analyses massive amounts of structured and unstructured data.
These positions require knowledge of big data, programming languages like Python or R, machine learning techniques, and database management systems.
Job Potential and Career Paths
The demand for skilled data scientists is increasing rapidly in India due to the country's digitalization drive. It is projected that by 2025, India will have a shortage of around 200,000 data scientists.
After gaining experience in this field, you may progress into specialised roles such as AI Manager or Head of Analytics.
- AI Manager: Develops AI strategies for companies to solve problems.
- Head of Analytics: Manages teams of analysts who use insights derived from large amounts of data to drive business growth.
Salaries in Data Science
Data science is one of the highest-paying fields in India, with an average salary of ₹8.4 lakhs per annum for entry-level positions, ₹15.6 lakhs per annum for mid-level positions, and ₹28.5 lakhs per annum for senior-level positions.
These figures are much higher when compared to other popular career options such as software development and web development.
Salaries based on experience level:
The salaries of data science professionals vary based on their job roles. For instance, a data analyst earns an average salary of ₹4.8 lakhs per annum, whereas a data scientist earns an average salary of ₹9.3 lakhs per annum. A machine learning engineer can earn up to ₹15-20 lakhs annually.
Factors affecting salaries
Several factors affect salaries in data science.
- One such factor is skills and experience. Professionals with more experience or specialised skills such as artificial intelligence and deep learning earn higher salaries than those without these skills.
- Location also plays a crucial role in determining salaries in data science. For example, data scientists working in Bangalore earn an average salary of ₹11 lakhs per annum, whereas those working in Mumbai earn about ₹10 lakhs per annum.
- Education is another factor that influences salaries in data science. Professionals with advanced degrees such as a master's or Ph.D., or those with specialised certifications such as those from IBM or Microsoft earn higher salaries than those without these qualifications.
- Company size is also a significant factor that determines the salary structure of data science professionals. Large companies such as Amazon and Google pay significantly higher than mid-sized companies and start-ups.
Comparison of average salaries across different cities in India:
Education and Upskilling Options
To become a successful data scientist, you need an academic background in computer science or statistics. Some degree options include B.Tech. in Computer Science/IT/Maths/Statistics, M.Sc. in Data Science or a Ph.D. in Statistics or Data Science.
Another option is to pursue diploma courses. They typically last between six months to one year and are focused on practical applications of data science techniques.
Upskilling is essential to staying competitive and retaining a successful data science career. These include AI and Machine Learning Course, Data Analytics Course and Big Data Course.
Industry Trends in Data Science
The Indian data science industry is expected to grow rapidly over the next few years due to digitalization initiatives by the government and private sector companies. According to a report by NASSCOM, the Indian data analytics market is expected to reach $3.5 billion by 2025 and create over 90,000 jobs.
WIZR offers an array of career-focused upskilling and certification programmes that can help you acquire the necessary skills to excel in this field. So, get set and kickstart your career in data science!
FAQs
1. Are there international remote job options for data scientists?
Yes, many companies now offer remote work options to data scientists due to the increased demand for skilled professionals in this field.
2. What is the most exciting aspect of data science jobs?
The most exciting aspect of data science jobs is the ability to solve complex problems using cutting-edge technologies and techniques that are constantly evolving.
3. How can WIZR help me with upskilling?
WIZR provides access to a range of career-focused upskilling programmes and certification courses across various industries, along with financing options to help you achieve your career goals.
4. Who earns more: data scientists or software engineers?
Both professions are equally important but data scientists tend to make slightly higher salaries due to their specialised skill set.
5. How do I know which certification programme or course is right for my career goals?
Consider your current skill level and desired career path when choosing a certification programme or course that aligns with your goals. Research different programmes offered by reputable institutions and speak to industry experts for guidance.
