Is data science a good career? The answer is Big YES! This is one of the best career choices as data scientist jobs have exploded in recent years and are projected to amplify in the future. This blog unveils the data science career scope in 2025 and beyond. Let’s dive deeper!

India’s BFSI (banking, financial services, and insurance) sector witnessed a massive surge in data science job opportunities, with 18000+ positions available in 2022. The reason behind this soaring data science opportunity is almost every business is using this field to make data-driven decisions and thrive in their niche.

When Harvard Business Review named data scientist jobs the ‘sexiest job of the 21st century’ back in 2012, it pointed out a future where this field would become even more prevalent.

Data science continues to rise as among the in-demand career paths in today’s tech landscape. It is no surprise why several youngsters even experienced job professionals want to become data scientists.

In this blog, we will understand the importance of data science, its demand, career scope and opportunities, and how you can learn data science from scratch.

So, all you aspiring data scientists out there, let’s gain in-depth knowledge of this field and launch a data science career confidently this year.

Understanding Data Science and Its Growing Importance

Data science is about studying large sets of data to find patterns and derive actionable insights. This multidisciplinary field combines mathematics, statistics, AI (artificial intelligence), and computer engineering. These skills can be acquired through a data science full course from a reputed institution.

As more businesses and firms are realising the importance of making data-driven decisions, the data science field is experiencing exponential growth. From finance to healthcare, every sector seeks skilled data scientists who can break down complex sets of data and churn out actionable insights.

Data scientists use programming, algorithms, and scientific methods to analyse large amounts of data. They leverage tools like data analytics, machine learning, and artificial intelligence to create predictive models and identify patterns. They help businesses make predictions and guide decision-making.

Additionally, the data science education market in India is projected to sharply grow in the next five years. According to the Imarticus Learning and Analytics Insights Data Science Report 2023, the data science education market in India is expected to grow from $204.23 million in 2023 to $1.39 billion by 2028, with a compound annual growth rate (CAGR) of 57.52%. In addition, by 2030, the global data science market is projected to hit $378 billion.

There are several institutions providing data science course in Kolkata that equips students with skills to carve a lucrative path in this industry.

Whether you want to take a data science course online, hybrid, or completely offline, we provide practical data scientist training led by industry experts to make you job-ready in just 6 months. Explore the top data science courses and pick the right one that aligns with your career goals.

Data Science Career in 2025: Career Scope, Roles, Salary, & More!

The following pointers underline the data science career scope and opportunities, advancement, job roles, and salary expectations in the field.

Scope and Opportunities

The data science career path seems very bright and this field is brimming with opportunities in 2025 and in the coming years. The data science is used in several industries, including finance, healthcare, marketing, education, and entertainment. It also aids businesses to enhance customer satisfaction, personalise experiences, and create new products.

Almost every sector demands individuals who can extract valuable information from complex datasets and convert them into useful strategies. As a result, a data science career offers a promising career path with a competitive salary, high demand, and numerous opportunities across industries, making it an attractive choice for many. Learning data science from a reputable institution can help you step into this booming industry.

Career Progression

Stepping into a data science career path can help you start your journey with positions like data science associate or junior data analyst. With more experience and knowledge, professionals can grow to mid-level positions like data scientists, machine learning engineers, and more. After reaching this position, you can advance to senior levels such as lead data scientist, data science manager, or principal machine learning engineer.

Job Roles

The data science field encompasses a variety of roles as follows:

• Data Scientists: Data scientists use machine learning, statistics, and data visualisation to extract insights and knowledge from large and complex data sets. The data scientist career path offers immense opportunities, making it a sought-after skill in today’s tech-driven world.
• Data Analyst: These professionals analyse data to find patterns, trends, and insights that help businesses to make informed decisions.  A practical focused artificial intelligence and data science course can equip you with the necessary skills to become a data analyst.
• Data Engineers: These professionals create and maintain the infrastructure for gathering, storing, and processing large amounts of data. They ensure the high quality of data and make them accessible for further analysis.
• Machine Learning Engineers: ML engineers build and deploy machine learning models to automate various tasks, make predictions, and improve products and services. These professionals work very closely with data scientists.
• Data Architects: These professionals design and administer an organisation’s data management framework. Data architects ensure data is efficiently and securely structured to support business analysis and operations.
• Business Intelligence Analysts: BI analysts focus more on leveraging data to analyse business performance and find areas of improvement. They create dashboards and reports to visualise data and communicate findings to stakeholders. Learn Python for data analysis and kickstart your journey to become a BI analyst.

Salary Expectations

The exact salary of data science professionals depends on various factors like experience, skills, knowledge, location, and industry. In India, the entry-level salary of a data scientist can be ₹8,00,000 per year. Mid-level data science professionals working in India can expect to earn from ₹10,00,000 to ₹20,00,000 per year.

in India, senior-level data scientists and those in leadership positions (or 3 years of experience to 11 years of experience) can command an annual pay range between ₹10,00,000 to ₹48,00,000.

However, it is important to remember that actual salaries can vary on the above-mentioned factors. Highly specialised data analytical skills, experience in cutting-edge technologies, and leadership experience can greatly increase the earning potential of a data scientist.

How to Prepare and Start a Data Science Career in 2025?

Data science and machine learning courses are in high demand among students. According to the Data Science Education Report 2023, the demand for AI and data science courses is growing rapidly across India. The on-campus segment is expected to grow from $128.03 million in 2022 to $857.57 million by 2027 at a compound annual growth rate (CAGR) of 56.73%.

By now you have understood that the data science career path offers a wide range of opportunities. Now the question is ‘How to become a data scientist? The following pointers will help you start your data science career journey in 2025.

Choosing the Right Training/Certification

The first thing you need to do is, understand your learning style for data scientist training; do you prefer online, hands-on offline classes, or hybrid? Look for programs with a proven track record and strong industry connections.

Whether you like hands-on practical-focussed workshops or prefer learning data science online, you need to choose the right training institute for the AI and data science course. Karmick Institute is one of the best full-stack data science with AI and ML course providers in Kolkata that offers E&ICT- IIT Guwahati certification after the program completion. We offer hybrid, offline, and data science course online with placement assistance to help you secure a high-paying job in this booming industry.

Hard Skills & Soft Skills

Hard skills are technical skills which are required to become a data scientist such as Python, R, data visualisation, deep learning, statistics, maths, SQL and NoSQL, cloud computing, big data, and NLP (natural language processing).

Soft skills aren’t job-specific; these are cross-functional skills which are essential too. For a data scientist, soft skills are communication, critical thinking, storytelling, teamwork, and storytelling.

Foundation in Core Concepts

To become a data scientist, you need to develop a solid knowledge of statistics, mathematics, and programming. You are required to familiarise yourself with programming languages like R and Python as well as data manipulation libraries such as NumPy and Pandas.

Building a strong foundation in these core concepts will allow you to handle complex problems and adapt to evolving technologies rapidly. You can study data science from a reputed institute like Karmick Institute to learn data science from scratch.

Specialised Skills Development

You need to explore key areas of data science like machine learning, data visualisation, big data technologies, and deep learning. You can focus on areas that align with your career goals and interests.

As the data science field is constantly evolving, you need to keep yourself updated with the latest data science trends. Therefore, continuous learning is crucial to build a rewarding data science career path.

Hands-on Experience and Projects

Once you are thorough with theoretical knowledge, it is time to apply it to real-world problems. Having hands-on experience in data science projects will make you a more competitive candidate in today’s evolving job market.

To gain hands-on experience, you can take on internships and personal projects, or enrol in a data science course that allows you to work on real-world projects. Our data science course in Kolkata with AI & ML offers a comprehensive curriculum, IIT Guwahati certification, and involves working on real-world projects to make you job-ready.

Engage With the Community

You need to engage with the data science community to stay abreast with this rapidly changing industry. Apart from social media channels like LinkedIn, Reddit, Twitter, etc., follow and engage with niche blogs, sites, and even data science leaders.

Find people who share the same interests as yours, contribute to the discussions, and don’t hesitate to reach out for advice. This way you can learn more about the data science field and stay up-to-date with the latest trends in the industry.

In Conclusion

In this post, you understood the data science career scope and the opportunities and methods to become a data scientist.

Undoubtedly, data science jobs will remain among the fastest-growing tech careers in 2025 and beyond.

Now, don’t wait anymore!

Acquire skills for data scientists through our advanced full stack data science course with AI & ML program. Get in touch with us today and understand how we can help you launch your data science career in 6 months!