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Top 15 Data Science Companies in India in 2024 

June 25, 2024 - 3:42
Top 15 Data Science Companies in India in 2024

The rapid growth of India’s tech has resulted in a high demand for skilled professionals in the field of data science. Companies in various industries, ranging from well-established corporations to cutting-edge startups, utilize data to obtain valuable information, improve efficiency, and stimulate expansion. The increase in demand results in promising job prospects for individuals wishing to become data scientists.

If you are interested in starting a career in data science in India, here is a list of some of the leading businesses to consider: 

  • Google: As a global tech titan, Google needs no introduction. They are at the forefront of cutting-edge data science projects, with a focus on search algorithms, artificial intelligence (AI), and data applications across various domains. If you’re passionate about being at the bleeding edge of data science, Google could be your dream destination. 
  • Microsoft: Microsoft is another major tech player that shouldn’t be overlooked. Their data science initiatives span a wide range of industries, including healthcare, finance, and cloud computing. Notably, Azure, Microsoft’s cloud platform, plays a pivotal role in enabling their data science endeavors. 
  • Fractal Analytics: A leading company in the field of data science in India. It has a diverse client base, which includes major organizations in the technology, retail, and insurance sectors, several of which are included in the Fortune 500. They provide a dynamic work atmosphere where you can be at the forefront of innovative data-driven solutions.
  • Mu Sigma: Mu Sigma is widely recognized for its proficiency in decision sciences and analytics solutions. It is an excellent option for anyone seeking to explore intricate data difficulties and create influential company strategies.
  • The Math Company: This multinational corporation provides a worldwide platform for professionals specializing in data analysis. TheMathCompany offers an atmosphere that encourages the development of advanced analytical skills and the opportunity to participate in projects with a global scope.
  • Accenture: Accenture’s analytics business, a prominent player in data-driven solutions, provides an opportunity to engage with state-of-the-art technologies such as artificial intelligence (AI) and machine learning. Their extensive network of data specialists encourages collaboration and development.
  • Wipro: Leading IT giant Wipro has emerged as a significant player in data science. They offer plenty of chances for professional growth in a steady work environment. Wipro data scientists use the company’s strong data infrastructure to work together on projects in a variety of sectors. Their emphasis on the business implications ensures that data insights become plans that can be implemented. A great data science career in India may begin with Wipro if you appreciate working on various projects in an organized setting.
  • LatentView Analytics: LatentView Analytics is a company that specializes in offering strategic insights to clients worldwide, serving a wide variety of sectors. They have a reputation for their emphasis on innovation and cultivating strong client relationships.
  • Swiggy: Swiggy, the top food delivery service in India, makes considerable use of data science to improve logistics, provide personalized recommendations, and increase user experience. Join Swiggy to become a member of a dynamic and high-speed work environment where data plays a crucial role in achieving success.
  • IBM: With a hundred years of expertise in global technology solutions, IBM is recognized as a leader in the field of data science. They provide a diverse range of prospects for data scientists to engage in pioneering projects.
  • Genpact: A leader in business process outsourcing, Genpact has cultivated a strong data science practice, focusing on helping clients leverage data for better decision-making. 
  • Oracle: A pioneer in IT services and data analytics, Oracle offers a robust platform for data scientists to work on cutting-edge projects with global reach. 
  • Tiger Analytics: Unleashing the power of data, Tiger Analytics is a data science powerhouse offering a range of solutions. 
  • TCS (Tata Consultancy Services): A major IT player, TCS has a strong data science presence, catering to various industries. 
  • EY (Ernst & Young): A professional services giant, EY’s data science arm is well-established, providing exciting career opportunities. 

Here are some of the most exciting data science startups making waves in India: 

  • CropIn: Revolutionizing agriculture, CropIn leverages data science to provide AI-powered solutions for farmers, optimizing crop yields and resource management. 
  • Lymbyc: Focusing on mental health, Lymbyc’s data science expertise empowers therapists and healthcare providers with AI-powered tools for personalized patient care. 
  • 3LOQ: In the realm of logistics, 3LOQ uses data science to optimize supply chains, streamline deliveries, and enhance visibility for businesses. 
  • Recosense Labs: This startup harnesses the power of data science to create intelligent video analytics solutions, catering to security, retail, and various other sectors. 
  • Realbox: Realbox utilizes data science to transform the real estate industry. Their AI-powered platform provides insightful property valuations and market trends. 

The world is swimming in data. From our smartphones to our refrigerators, every interaction generates a digital breadcrumb. Businesses are hungry to understand this data and extract valuable insights to drive better decision-making. This is where data scientists step in, and the good news is, the demand for their skills is expected to surge for the next decade. 

Is data science a good career path? Here’s why it’s a resounding yes: 

  • High Demand: The Bureau of Labor Statistics predicts a whopping 36% growth in data scientist jobs by 2031 [US Bureau of Labor Statistics]. This translates to a significant number of new opportunities in various industries. 
  • Lucrative Salaries: Data science is a well-paying field. According to Indeed, the average base salary for a data scientist in the US is over $120,000 [Indeed salary data]. 
  • Diverse Applications: Data science isn’t confined to tech giants. Every sector is leveraging data from finance and healthcare to retail and manufacturing to gain an edge. This opens doors to a wide range of career paths. 

So, is data science a good career choice for you? Data science could be a perfect fit if you enjoy working with puzzles, have a knack for problem-solving, and possess strong analytical and critical thinking skills. 

Is data science a good career with long-term prospects? Absolutely! As the world continues to generate ever-increasing amounts of data, the need for data scientists to unlock its potential will only become more critical. If you’re looking for a stimulating and rewarding career with excellent growth potential, then data science might be your golden ticket. 

The allure of data science is undeniable. It’s a field brimming with opportunity, intellectual challenge, and the potential for high salaries. But who is eligible for data science, and do you have what it takes to thrive in this exciting domain? 

The good news is, data science isn’t an exclusive club. While a specific degree might not be a guaranteed entry ticket, there are foundational skills and educational backgrounds that can equip you for success. 

Here’s a roadmap for those wondering if they’re eligible for data science: 

  • STEM Background: A strong foundation in science, technology, engineering, or mathematics (STEM) is a plus. This equips you with the analytical thinking and problem-solving skills crucial for data science. 
  • Mathematical Prowess: Data science is inherently mathematical. Familiarity with concepts like statistics, probability, linear algebra, and calculus will give you a significant edge. 
  • Programming Power: Data manipulation and analysis rely heavily on programming languages. Python, R, or SQL proficiency is essential to translate raw data into actionable insights. 
  • Communication Whiz: Data science isn’t just about crunching numbers. You’ll need to explain your findings to non-technical audiences. Clear and concise communication skills are key. 

Is a formal degree required? 

While a bachelor’s degree in a relevant field like computer science, statistics, mathematics, or engineering is a common path, it’s not the only one. Eligibility for data science can also be established through alternative routes: 

  • Bootcamps: Intensive data science bootcamps offer a fast-paced and practical way to gain the necessary skills. 
  • Online Courses: Numerous online platforms provide comprehensive data science courses, allowing you to learn at your own pace. 
  • Self-Learning: With dedication and the right resources, you can teach yourself the required programming languages and data analysis techniques. 

Remember, eligibility for data science goes beyond formal qualifications. A curious mind, a passion for problem-solving, and a willingness to learn continuously are invaluable assets in this ever-evolving field. 

The term “data scientist” is ubiquitous these days, but what exactly are data scientist jobs all about? These fascinating roles sit at the intersection of computer science, statistics, and business acumen, unraveling the stories hidden within data. 

Data scientist jobs encompass a thrilling range of activities: 

  • Data Wrangling: Data scientists are data wranglers extraordinaire. They collect data from diverse sources, clean it up, and organize it into a usable format. 
  • Data Exploration and Analysis: Once the data is wrangled, the fun begins! Data scientists employ various statistical techniques and programming languages to uncover patterns, trends, and relationships within the data. 
  • Modeling and Machine Learning: Data scientists are the architects of intelligent systems. They build models and algorithms, often leveraging machine learning, to make predictions and solve complex problems. 
  • Data Visualization: Data can be overwhelming. Data scientists transform raw data into clear and compelling visualizations like charts, graphs, and dashboards, making it easier for stakeholders to understand the insights. 
  • Communication and Storytelling: Data-driven insights are only valuable if communicated effectively. Data scientists explain their findings to both technical and non-technical audiences, translating complex concepts into actionable recommendations. 

Data scientist jobs are not confined to a single industry. Here are just a few examples of where you might find them: 

  • Tech: From social media platforms to search engines, tech companies rely on data scientists to optimize user experiences and develop innovative products. 
  • Finance: Data scientists are crucial for fraud detection, risk management, and algorithmic trading in the financial sector. 
  • Healthcare: The healthcare industry is leveraging data science to improve patient outcomes, personalize treatment plans, and accelerate drug discovery. 
  • Retail: Understanding customer behavior is paramount in retail. Data scientists help retailers optimize product placement, target advertising effectively, and forecast demand. 

Are data scientist jobs right for you? If you’re a curious and analytical individual with a knack for problem-solving and a passion for turning data into knowledge, then this dynamic field might be your calling. 

Data science job roles with monthly estimated salary: 

Data Science Job Title 

Monthly Estimated Salary (INR) 

Data Scientist 


Machine Learning Engineer 


Data Analyst 


Business Intelligence Analyst 


Data Architect 


Deep Learning Engineer 


Big Data Engineer 


The data science field is booming, offering exciting opportunities for graduates and career changers. But for freshers, navigating the entry-level landscape can be tricky. Here are some of the hottest data science jobs for freshers, along with estimated monthly salaries  

  • Data Analyst (₹66,667): Analyze data to extract insights, build reports, and communicate findings. A strong foundation in SQL and data visualization is key. 
  • Business Intelligence Analyst (₹70,833): Bridge the gap between business and data by transforming data into actionable insights that drive strategic decision-making. Business acumen is a plus. 
  • Junior Data Scientist (₹50,000 – ₹70,000): Assist senior data scientists with data wrangling, model building, and analysis. Proficiency in programming languages like Python and R is essential. 

The data science field offers a diverse range of career paths in 2024. You can delve into the core role of a Data Scientist, specializing in extracting insights and building models. Machine Learning Engineers design and deploy these models to automate tasks. Data Analysts and Business Intelligence Analysts focus on cleaning, analyzing, and visualizing data to inform business decisions. Data Architects build the infrastructure to handle this data efficiently. For complex datasets, Big Data Engineers are the specialists. Finally, Deep Learning Engineers create advanced neural networks for tasks like image recognition. 

Amrita AHEAD includes Data Science in various specialisation courses in MBA and MCA programs .The specialisations comes in areas such as 

  • Artificial Intelligence:This specialisation equips students with the theoretical and practical skills to develop and implement intelligent systems using techniques like machine learning, deep learning, and natural language processing.Amrita AHEAD MCA AI and MBA AI provides great opportunity for learners to excel in the field of business and computer applications mastering AI and inturn Data Science  
  •  Cybersecurity:This specialisation focuses on securing computer systems and networks from cyberattacks. Students learn about network security, penetration testing, incident response, and ethical hacking.Amrita AHEAD MCA Cybersecurity provides a great opportunity for learners to excel in the field of business and computer applications mastering AI and in turn Data Science  

India’s data science landscape is thriving, offering exciting career prospects. Major tech firms like Google and Microsoft lead the way, while homegrown companies like Fractal Analytics and Mu Sigma excel in data-driven solutions. Established players like Accenture and Wipro provide opportunities in AI and machine learning. From Swiggy’s logistics to LatentView’s strategic insights, data science spans various industries. Even rising startups in agriculture, healthcare, and logistics offer promising career paths. So, if you’re tertarik (interested) in data science, India has a place for you. 

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