Is Data Science a Good Career: A Comprehensive Guide

Madhuri Hammad
16 Min Read

In today’s tech-driven world, data science has emerged as a promising career path with the highest growth potential and great career prospects. Wondering if data science is a good career for you? Well, the answer is a big YES! Data Science is one of the best career choices for anyone considering a career in IT. 

Generally, Data science is all about extracting hidden valuable insights from data to solve real-world problems and help businesses make more informed decisions. This career offers creative thinking and analytical skills with lucrative compensations. Now, let’s explore the reasons that make it an appealing option for aspiring professionals.

What Is Data Science? 

Data science is all about extracting meaningful hidden insights from large sets of data. It is a field of study that uses statistics, scientific methods & computer algorithms to solve real-world problems by identifying patterns. This extracted information and insights from data helps to transform business issues into practical solutions. 

Why Start Your Data Science Career in 2024 and Beyond?

Data science is not just a job; it’s a lifetime opportunity to shape the future and a journey towards significant growth. It opens doors to a world of endless possibilities. Now, let’s explore some of the reasons for your question- “Is data science a good career for the future?”.

1. High Demand for Data Scientists

Imagine being in a field where everyone wants you! Yes, Data science is one of the fastest-growing fields and the demand for data scientists is continuously rising. It has the fastest growth rate on LinkedIn.

2. High Salary Potential

Anyone here who doesn’t love a good paycheck? A high demand equals a high salary. Data Scientists are in high demand, making it one of the highest-paying fields. According to Glassdoor, data scientists earn an average of $116,100 per year, and it can exceed $200,000 if you have the desired skills. 

3. Various Job Opportunities

Data science opens doors to a world of career opportunities. You can choose from various exciting roles like Data Scientist, Machine learning engineer, Business Analyst, Data Analyst, Big Data Engineer, and more as shown below. The opportunities are vast and varied with roughly 11.5 million new jobs expected by 2026. However, the salary can vary based on various factors such as experience, skills, location, and employer.

4. Work Environment Flexibility

Data science is a flexible field and can be applied across all types of industries- Retail, Finance, Healthcare, Entertainment, Banking, and more. Also, many data science positions offer flexibility with work options like hybrid or remote

5. Innovation and Advancements

Data science and machine learning are always evolving, with new ways to analyze information and create smart systems. Keeping up with these changes helps experts work on exciting projects, find creative solutions, and drive technology forward in different areas.

Growing Demand for Data Science Professionals

There are several factors that contribute to its growing demand like the need for data-driven decision-making, the increase in data in every industry, and the role of data science in AI and machine learning. From these factors, it’s no surprise that the demand for data science professionals is skyrocketing in 2024 and will go beyond. 

Here are some stats showing growing demand for this highly sought-after job- 

  • According to the US Bureau of Labor Statistics (BLS), the employment rate of data scientists is expected to grow 35% from 2022 to 2032. This is much faster than the average for all occupations.
  • According to Forbes, data science and analytics is one of the fastest-growing jobs of 2024. It has a projected growth rate of 26% from 2021 to 2031.
  • According to a report by Analytics India Magazine, the analytics industry in India reached $3.03 billion (in size) in 2019 and is expected to double by 2025.

Industries That Have High Demands for Data Scientists

Today, data science is spread everywhere and it can be applied in almost all industries for data-driven decision-making. Here is our list of the best industries for data science that are worth exploring –

Iindustries that have high demands for data scientists

Banking, Financial Services, and Insurance (BFSI)

Data scientists help in identifying opportunities, analyzing market trends, fraud detection, risk modeling, customer insights, and guiding investment decisions. Top Employers: JPMorgan Chase, HDFC, ICICI Bank, HSBC.


Nowadays, retailers rely on data scientists to improve operations, analyze customer behavior, detect fraud, and enhance the overall customer experience. Top Employers: Amazon, Flipkart, Walmart, Aditya Birla Fashion & Retail.


In the automotive industry, data science can be used in many ways such as to enhance vehicle safety, reduce repair costs, supply-chain management, improve production efficiency, and more. Top Employers: General Motors, Volkswagen, Maruti Suzuki, Hyundai.


Data scientists in healthcare perform various tasks such as managing unstructured healthcare data, diagnosing diseases, discovering drugs, monitoring patient health, personalized care, and more. Top Employers: GSK, GE Healthcare, Sanofi.


Data scientists use machine learning techniques for personalized recommendations, effective inventory management, improving sales, and optimizing marketing strategies. Top Employers: Amazon, Alibaba Group, eBay, Shopify.


Data science is essential in education for personalized learning, analyzing student performance, and optimizing institutional processes. Top Employers: Scaler, Pearson, McGraw-Hill, Coursera, edX.

Current Trends in Data Science Salaries

As you know, the more is the demand for skilled data scientists, the more is the associated salaries. This demand is expected to rise even higher in 2024. However, the data scientist’s salary can vary depending on various factors such as experience, skills, location, and employer. Let’s explore the current trends in Data Science salaries: 

data scientist average base salary in India

Data Scientist’s Salary in India

According to Glassdoor, the average salary for a data scientist in India is ₹14,04,305 per year. The salary can range between ₹1,00,000 – ₹2,77,875 per month. The average annual salary for a Senior data scientist can be around ₹25L per year. 

Data Scientist’s Salary in the US

According to Glassdoor, the average salary for a data scientist in the United States is $1,56,911 per year. The salary can range between $20,495 – $38,257 per month. The average annual salary for a Senior data scientist can be around $2,17,122 per year.

Note: salary information was taken from Glassdoor.

Data Science Career Future Outlook

“Is data science a good career for the future?” you might still question. Well, the future of data science career not only looks safe but also promising! According to the Bureau of Labor Statistics (BLS), the demand for data scientists is projected to grow by 35% from 2022 to 2032, with an estimated 17,700 job openings per year on average.

Data Science is not just a career but a key to a world of endless opportunities. Whether you enter into finance, healthcare, technology, or retail, data scientists are highly sought after across all industries. And guess what? This demand is going steadily upward.

Data science and analytics job growth over time
Source: Polaris Market Research Analysis, Indeed and LinkedIn Job Trends

But why so hype? Data science is the backbone of decision-making in many industries. With the increase in the amount of unstructured data, companies are looking for professionals who can turn this data into meaningful insights. That’s where data scientists come in. 

Evolution of structured vs unstructured data over time

In-Demand Data Science Job Roles

As the data science industry is expanding rapidly, the demand for skilled data science professionals also continues to surge. With the right skill set and experience, anyone can have a successful career in data science. Let’s explore some of the in-demand data science job roles that you can choose from: 

1. Data Analyst

Data analysts generally collect, interpret, and analyze complex data sets to provide valuable insights that help in informed decision-making. 

2. Data Administrator

They help in efficient data management, and ensuring that the data is stored and retrieved correctly. They also implement security measures, optimize data structures, and perform database backups and recoveries.

3. Data Engineers

Data Engineers are responsible for designing and building scalable ecosystems that can store, manage, and transform raw data into actionable insights. 

4. Marketing Analyst

As the name suggests, marketing analysts analyze data to optimize marketing strategies. They analyze consumer behavior, campaign performance, and market trends to support marketing efforts.

5. Machine Learning Engineer

An ML engineer is responsible for developing and maintaining machine learning models and systems. These self-running programs automate predictive models. 

6. Business Analyst

As a business analyst, you will perform detailed data analysis to outline challenges, identify growth opportunities, and recommend improvements if any for business processes.

7. Data Architect

Data Architects use their design skills to create a blueprint for data systems. They define and manage data structures, data flow, and overall architecture within an organization.

8. Data Manager

Data Managers evaluate the overall development and use of data systems within an organization. They are responsible for quality assurance and effective data governance.

Is Data Science a Good Career Choice For You?

Absolutely! Data Science is a fantastic and rewarding career choice. Given the high demand, immense opportunities, and lucrative compensation, data science emerged as an in-demand career path with immense growth potential for future expansion. With the right expertise and skill sets in data science, you can unlock a world of endless possibilities and contribute to various advancements and innovations across different industries.

advantages of data science

But, it’s also essential to keep yourself updated with the latest industry trends, enhance your skills, and adapt to new emerging technologies. This will always help you stay at the forefront of the ever-growing world of data science.

Now, if someone asks you about whether to pursue a career in data science in 2024, what would your answer be?

How Can You Start Your Data Science Career?

Whether you are a beginner, a professional, or someone looking to upskill, now is the perfect time to take a step toward the data science field. But you may be wondering where to start. Don’t worry! Here are some steps you can take to build a future towards data science – 

Step 1: Get a Bachelor’s Degree

Start with the basics. Opt for a degree in a relevant field like data science, statistics, or computer science. 

Step 2: Learn Relevant Programming Languages

Programming is an important factor in the data science field. You need to brush up on the essential programming languages for data scientists like Python, SQL, R, Java, SAS, and more.

Step 3: Learn Related Skills

Data science is more than just programming, so it’s time to hone your skills and gain the necessary knowledge. Familiarize yourself with various tools like TensorFlow, PyTorch, and Tableau.

Step 4: Internship (If beginner)

Theoretical knowledge alone won’t help you succeed. You need to have practical experience so start looking for internships, that align with your interests and skills. 

Step 5: Considering Specialization Paths and Certifications

Certifications are the best way to show your expertise and skills. There are various certifications available online and you can apply for courses. 

The Scaler Data Science Course can be a great choice. This comprehensive program covers relevant topics, offers hands-on practice, provides 1:1 mentorship from experienced professionals, and works on industry-relevant projects with great community support.

Lastly, remember one thing – Data science is not a destination, it’s a journey towards growth. So, don’t stop here. Continuously try to brush up your skills, expand your knowledge, and consider pursuing more advanced roles with experience.


Is data science a good career choice for freshers?

Yes, data science is considered a good career choice for freshers. This field offers immense career opportunities, and with the increasing demand, there are various new internships and job opportunities in the market.

Is data science considered a safe and stable career choice?

Yes, data science is considered a safe and stable career choice. This is due to the increasing demand for data-driven insights across various industries.

Is being a data scientist considered a good job?

Absolutely! Being a data scientist is considered a good job because it provides great career prospects, lucrative compensation, long-term job security, and continuous growth.

Does a career as a data scientist have a bright future in the era of AI?

Yes, Data science is an ever-growing field with a bright future. In this data-driven world, the need for professionals who can interpret and leverage data continues to grow.

Why is there so much talk about data science careers in recent years?

The talk about data science careers has surged because businesses realize the potential of data in gaining a competitive edge, leading to an increased demand for skilled data scientists.

What are the key indicators that suggest data science is a growing and lucrative field?

There are several key factors that indicate rapid growth of the data science field like an increase in job opportunities, expanding data science applications across various industries, and continuous advancements in data-driven technologies.

What advice would you give to someone considering a data science career in 2024 and beyond?

For anyone considering a data science career in 2024 and beyond, I’d advise you to acquire a strong foundation in statistics, programming, and machine learning. Also, staying updated on emerging technologies, have strong communication skills, and work on real-world projects.

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Madhuri Hammad is a seasoned Technical Content Writer and Editor at IB/Scaler, with expertise in Python, Java, C/C++, Data Science, AI, Machine Learning, and Software Development. With a wealth of experience, Madhuri crafts engaging and informative content that demystifies complex technical concepts. Her passion for technology shines through her work, making intricate subjects accessible to readers. Madhuri's dedication to clarity and precision has established her as a trusted voice in the realm of technical communication.
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