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How is the Data Science Career Growth in India




Data science is experiencing unprecedented global growth, earning accolades such as being labeled the hottest job of the 21st century by Harvard Business and recognized as the fastest-growing job in 2017 by LinkedIn. Often referred to as the new oil by business leaders, the significance of data is underscored by predictions of approximately 11.5 million new jobs in the field by 2026, with the Big Data market expected to reach a staggering USD 96 billion. However, despite these promising projections, a substantial gap exists between the demand for data science talent and the available workforce, with the global tech shortage projected to reach 85 million in the next decade, according to Quanthub.

When selecting a laptops for data science and data analytics, consider factors such as processing power, storage capacity, and RAM. A laptop with a powerful CPU (Central Processing Unit), preferably an Intel Core i5 or i7, and a dedicated GPU (Graphics Processing Unit) can handle complex data processing tasks efficiently. Adequate RAM (8GB or more) and ample storage (SSD for faster read/write speeds) are crucial for smooth performance. Additionally, ensure the laptop has sufficient ports for connecting peripherals and supports high-speed Wi-Fi for seamless data transfer. Operating systems like Windows or macOS with relevant software and programming languages installed, such as Python, R, and SQL, will complete your ideal setup for data science and analytics work.

In the Middle East, particularly in the UAE, Artificial Intelligence, a leading driver of the data science industry, is projected to be worth USD 320 billion by 2030, as reported by PwC. This signifies significant growth potential for the region, necessitating a skilled workforce to realize its envisioned heights. For professionals considering a career change or entry into a high-demand field, the data science career path stands out as a promising and rewarding choice.

A data science career is dynamic and in high demand, encompassing the analysis of vast datasets to extract valuable insights. Professionals use statistical and machine learning techniques, transforming raw data into actionable strategies. The field offers diverse opportunities, with roles ranging from data analysts to machine learning engineers, driving innovation across industries.

Enrolling in a data science course in IIT can significantly boost career growth by providing a comprehensive and cutting-edge education. IIT’s renowned faculty and industry-aligned curriculum offer a deep understanding of data science concepts, tools, and applications. The program equips students with practical skills, including data analysis, machine learning, and AI, aligning them with industry demands. Networking opportunities, access to state-of-the-art resources, and the prestigious IIT brand enhance credibility. Graduates emerge with a solid foundation and the confidence and expertise needed to excel in the rapidly evolving field of data science, accelerating their professional trajectory.

Popular Data-Driven Career Paths in India

These are some of the popular roles for a data science professional:

Data Scientist: Data scientists oversee projects from inception to completion, possessing a holistic understanding of business problems. They analyze and organize information to solve complex issues, offering valuable insights, detecting patterns, and predicting future trends. In large organizations, they often lead projects rather than delve into execution-level details. The high demand for data science professionals is reflected in abundant job opportunities and lucrative compensation across diverse industries like government, finance, e-commerce, etc. Data science, with its requisite skills such as statistical analysis, machine learning, and programming, is considered pivotal for the future. Top companies like Amazon, IBM, and Accenture actively seek data science professionals with an average annual salary of 10.6 lakhs and a broad salary range from 4.5 to 26.0 lakhs.


Data Analyst: As the name implies, data analysts delve deep into structured and unstructured information, conducting database search queries to extract valuable insights for business problems. They employ algorithms and models to process, optimize, and manipulate data, with a crucial aspect of their career path involving data visualization through simplified charts and figures.

Skills required for Data Analysts include proficiency in statistics, algebra, calculus, Matlab, R, Python, critical thinking, mathematics, and machine learning. Top companies hiring Data Analyst professionals include Accenture, TCS, EY, HSBC, Genpact, Capgemini, Apple, Meta, Microsoft, Google, and IBM. Data Analyst professionals earn an average of 4.4 lakhs per annum, with salaries ranging from 1.9 lakhs to 11.9 lakhs per annum.

Machine Learning Scientist: A Machine Learning (ML) scientist plays a pivotal role in data science, focusing on researching and developing novel methods, algorithms, and approaches. This emerging job role is typically within an organization’s Research and Development (R&D) division, where ML scientists lead efforts to discover innovative data processing and analysis approaches, often resulting in published work.

Skills essential for ML Scientists include proficiency in statistics, probability, data modeling, programming, and software designing. The average salary for ML Scientists is 15.0 lakhs per annum, ranging from 5.1 lakhs to 52.0 lakhs per annum (Source).

The minimum education requirement for ML Scientists is a Bachelor’s degree in IT, Computer Science, Mathematics, Statistics, Engineering, or a related discipline.

Data Engineer/Architect: Data engineers are tasked with designing, constructing, and maintaining data ecosystems utilized by data scientists for algorithm execution. They ensure optimized runs by testing systems and pipelines and take charge of updating the data system. Data engineers format data batches, aligning them with the data system’s formats to facilitate the work of data scientists.

Skills vital for Data Engineers/Architects encompass the System Development Cycle, Project Management, Design techniques, Testing, SQL, Data Administration, Programming languages, and Architecture. Major companies hiring for these roles include Wipro, TCS, IBM, Amazon, Oracle, Cognizant, and Intel Corporation.

The average salary for Data Engineers/Architects is 23.6 lakhs per annum, ranging from 14.0 lakhs to 42.0 lakhs per annum.

Business Analyst

Business analysts play a distinct role within data science, focusing more on the business aspect of problems. Their core responsibility involves utilizing data and insights to develop actionable solutions for business challenges. While they possess a comprehensive understanding of data systems, handling large datasets, and organizing valuable information, the primary duty of linking data to problem-solving lies with business analysts, making it a uniquely fulfilling career path within data science.


Key skills for Business Analysts encompass analytical abilities, critical thinking, database management, SQL, negotiation, and cost-benefit analysis. Leading companies hiring Business Analysts include Capgemini, IBM, Amazon, Deloitte, Infosys, Accenture, and American Express.

On average, Business Analyst Professionals earn a salary of 7.0 lakhs per annum, with salaries ranging from 3.0 lakhs to 15.0 lakhs per annum.


India’s data science career growth is thriving, driven by its pervasive impact across industries. With increasing demand, diverse job opportunities, and competitive compensation, the field promises a rewarding future. Pursuing a data science course in IIT is a strategic choice for professionals aspiring to excel in this dynamic landscape. IIT’s rigorous curriculum, experienced faculty, and industry relevance provide a solid foundation, empowering individuals to navigate the complexities of data science. By honing their skills at a prestigious institution like IIT, aspiring data scientists can fuel their career growth and contribute meaningfully to the evolving data-driven landscape in India.

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