Welcome to the exciting world of data science jobs, where big data meets technology and creativity. With the ever-increasing demand for data-driven decision-making, there's never been a better time to explore the types of data science jobs in India.
In this article, you will discover the different types of data science jobs available in India, their educational requirements, potential salary scales, industry growth rates, and upskilling programmes that can help you succeed in these careers.
What is Data Science?
Data science refers to the process of analysing, interpreting, and extracting insights from complex data sets using various statistical and computational techniques. It involves gathering, cleaning, and organising data from diverse sources to identify patterns and trends that can be used to make important business decisions.
Career Growth and Potential in Data Science
The demand for data science jobs has been rapidly increasing over the past few years due to the rise of big data analytics.
According to a report by Analytics India Magazine, India's analytics industry is expected to be worth ₹50,000 crores by 2025. This growth has led to an increase in demand for skilled professionals in this field. Companies are looking for professionals who can analyse large volumes of data and provide valuable insights.
Data Science Jobs: Responsibilities and Salaries
1. Data Scientist
Job Potential and Career Path: Data science jobs like those of a data scientist are considered the most in-demand job roles at present. As a data scientist, you can work across industries such as healthcare, finance, and e-commerce. Possible job roles include Chief Data Officer or Analytics Manager.
Specialisations: Natural Language Processing (NLP), Deep Learning (DL), Computer Vision (CV).
Salary Scale: INR 6–18 lacs per annum.
Education/Certifications: Bachelor's/Master's degree in Computer Science/Statistics/Mathematics/Data Science, PG Diploma in Data Science.
2. Business Analyst
Job Potential and Career Path: Business analysts can work across multiple industries, such as banking, retail, and e-commerce. Possible job roles include senior business analyst or head of business intelligence.
Specialisations: Pricing analytics, market research analytics.
Salary Scale: INR 4–12 lacs per annum.
Education/Certifications: Bachelor's degree in Business Administration/Statistics/Economics, PG Diploma in Data Science.
3. Database Administrator (DBA)
Job Potential and Career Path: DBAs work across industries such as finance or IT services. Possible job roles include senior database administrator or head of database management.
Specialisations: Big data administration, cloud-based databases
Salary Scale: INR 3–10 lacs per annum
Education/Certifications: Bachelor's degree in Computer Science/Information Technology, Certification courses in DBMS.
4. Machine Learning Engineer
Job Potential and Career Path: ML Engineers can work across multiple industries such as healthcare, finance, retail, and e-commerce. Possible job roles include Senior Machine Learning Engineer or Head of Machine Learning Development.
Specialisations: Recommendation system design, predictive modelling
Salary Scale: INR 5–16 lacs per annum.
Education/Certifications: Bachelor's/Master's degree in Computer Science/Statistics/Mathematics/Data Science, Certification courses in Machine Learning.
5. Data Analyst
Job Potential and Career Path: Data Analysts can work across industries such as finance, e-commerce, healthcare. Possible job roles include Senior Data Analyst or Head of Analytics Division.
Specialisations: Social Media analytics, customer behaviour analytics
Salary Scale: INR 3–12 lacs per annum.
Education/Certifications: Bachelor's degree in Computer Science/Statistics/Mathematics/Data Science, PG Diploma in Data Analytics.
6. Growth Hacker
Job Potential and Career Path: Growth Hackers can work across industries such as technology startups and e-commerce companies. Possible job roles include Chief Growth Officer or Growth Marketing Manager.
Specialisations: A/B testing, Search Engine Optimization (SEO).
Salary Scale: INR 5–15 lacs per annum.
Education/Certifications: Bachelor's degree in Business Administration/Marketing, PG Diploma in Data Science.
7. Data Science Consultant
Job Potential and Career Path: Data Science Consultants can work across industries such as finance, healthcare, and retail. Possible job roles include Senior Data Science Consultant or Director of Data Science.
Specialisations: Machine Learning, Big Data Analytics, Business Intelligence
Salary Scale: INR 10-30 lacs per annum.
Education/Certifications: Bachelor's degree is required with experience working in the field and a strong understanding of data science.
Courses and Certifications in Data Science
To become a professional in the data science job industry, one must have a relevant degree along with certification courses to enhance their skills. This enables young professionals to gain hands-on experience with tools and technologies used in the industry. Several government and private institutes offer such courses.
Popular undergraduate and postgraduate courses:
Empowering Your Career in Data Science
To make the most of your career in data science, it's essential to keep learning and upskilling. Stay updated with the latest trends and technologies, network with industry experts, and continuously seek out opportunities to learn new skills.
WIZR is here to help you achieve your career goals by offering guidance and financial help on various upskilling programs that cater to different interests and levels of experience.
FAQs
Q. Which industries have more demand for data science jobs?
The demand for data science jobs is high across several industries, such as healthcare, finance, e-commerce, retail, and logistics.
Q. Why are data science jobs so popular in India?
Data science jobs are popular in India due to the country's rapidly expanding digital economy, increasing use of technology, and growing demand for data-driven decision-making across industries.
Q. When should I start planning for a career in data science?
You can start planning your career in data science as early as your undergraduate studies by choosing relevant courses and internships that align with your interests and goals.
Q. Where can I find a good upskilling programme for data science jobs?
WIZR is an excellent platform that offers guidance and financial assistance on high-quality, career-focused upskilling and certification programmes for young professionals.
Q. Who is best suited for a career in data science jobs?
People who are curious about technology, have an aptitude for problem-solving and critical thinking, possess strong analytical skills, and enjoy working with large datasets may be well-suited for a successful career in data science jobs.
