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Data Science

How is AI transforming data science careers?

Blog Date
January 24,
2025

Artificial Intelligence (AI) is the ability of machines to imitate the human mind’s capabilities. Equipped with high-level intellectual powers, AI-enabled machines and tools can perceive, think, and perform problem-solving and decision-making tasks by using advanced data collection, analytics, and computer processing abilities. 

Data Science is an extensive AI application that offers vast analytical potential by uncovering patterns and insights from huge data sets to predict probable trends and outcomes. Data science leverages automation platforms, business intelligence systems, CRMs, content management, and Google Analytics to analyze and extract meaning from data. AI-driven tools help data scientists refine the value of existing data for more accurate predictions.  

Today, AI and data science have emerged as leading technologies that rule industries globally. AI integration in data science careers is pivotal as AI helps simplify complex tasks through automation, helps in data extraction and outcome prediction, and enhances business performance. AI-driven changes in data science roles make professionals valued and sought-after across industries.

AI and data science career evolution

The emergence of data science and data analysis came about in the mid-1960s during a time when AI was also evolving gradually. Scientists and statisticians during this period collaborated to develop new methods of analyzing data and recognizing patterns. Concurrently, companies started realizing the use of technology and the potential of data to enhance the stronghold of their business in the market. This led to the creation of innovative data-driven industries to bring upon AI and data science career evolution.

Today, data is massive and all over, and businesses have grown increasingly dependent on data for better planning and decision-making. The impact of AI on data science jobs is likely because AI algorithms are phenomenal at identifying patterns and anomalies in large datasets. Data scientists use AI algorithms for thorough analysis of data to uncover probable trends and gain profound insights to make rational conclusions, making their role pivotal in the industry. 

You may be wondering how AI impacts in MBA careers.

Impact of AI on data science jobs

Emerging technologies like data science, AI, cybersecurity, and cloud computing along with blockchain and quantum computing are transforming industries like healthcare, retail, and BFSI through innovative applications. This shift has enhanced the demand for workforce upskilling while redefining their job responsibilities. As per a report, the workforce in India’s IT sector is projected to reach 7.5 million by 2030 to contribute INR 12,82,350 crore to the country’s economy while adding over 2 million new jobs. 

Technologies like AI and ML are driving advancements in fraud detection, inventory management, and personalized medicines. Bengaluru, Hyderabad, and Pune have been the top cities for recruiting technology professionals, solidifying India’s position as a global leader in IT. India is also emerging as a leading hub of AI data management in the Asia-Pacific (APAC) region with its proactive approach to leading AI innovations. 

AI-driven changes in data science roles

The job roles of professionals are modifying or reshaping due to AI-driven changes in data science. With increased automation of routine tasks, data scientists could divert their attention to high-level and complex tasks. Moreover, the integration of domain expertise with interpretability is giving rise to hybrid roles in data science.

Here are some data science job roles brought about by AI-driven changes:

Job roleJob descriptionSalary
Machine Learning EngineerThis is an emerging role that requires professionals to create and deploy AI models with accuracy and efficiency for the smooth functioning of machine learning systems.INR 10,22,496 per annum
Business Intelligence (BI) DeveloperThese professionals transform raw data into actionable insights to drive future decision-making. The reports created by the BI professionals help in strategizing the future of businesses. INR 7,40,000 per annum
Data VisualizerData visualizers are professionals who simplify complex data through visuals like graphs, charts, and maps. The visual representation is created using programming languages and tools.INR 16,10,000 per annum
Data ScientistThese professionals with their skills in programming, math, and statistics use ML tools to collect and study large sets of data to identify trends and build better business strategies. INR 9,71,043 per annum
Data AnalystAs a data analyst, professionals are required to collect relevant information from databases. With analytical and problem-solving skills, these professionals  efficiently perform data visualization and data mining tasks.INR 6 lakh per annum
Big Data EngineerThese are professionals responsible for solving complex data-related challenges by developing and managing business data systems. They further utilize various sources to collect and process data and store them in a central warehouse.INR 11,00,000 per annum
Source: Glassdoor, PayScale & Ambitionbox

The future of data science with AI

Data science is expanding rapidly due to rising demand for data-driven and emerging technologies like AI and ML, which are poised to revolutionize industries. The global data science market growing at a CAGR of 27.7%, is projected to reach approximately USD 322.9 billion by 2026. With more and more businesses investing in data, the usage of big data analytics has gone up significantly across sectors, creating high demand for proficient and skilled data science professionals to handle such data effectively.

Artificial intelligence is transforming industries and companies in India are making huge investments in AI, robotics, and autonomous systems, creating a large number of jobs and AI and data science career evolution. According to a report by the World Economic Forum’s ‘Future of Jobs’ 2025, AI, ML, big data, and fintech specialists will be among the fastest-growing jobs by 2030. 

Let’s take a look at some in-demand skills for data scientists to acquire proficiency in this field:

  • Problem-solving: Data scientists require strong analytical and critical thinking skills to identify and solve complex data issues. They must possess innovative ideas and approaches to interpret and analyze data.
  • Business acumen: Business acumen is the knowledge or sharp sense of business operations and market trends as per the requirement of the business or organization gained through data insights. 
  • Machine learning (ML): Skills in ML is a key requirement for data scientists to use frameworks to create algorithms and predictive models. ML helps in predicting results, uncovering patterns, enhancing data-centric business strategies, and automating decisions. 
  • Communication: Data scientists require strong communication skills or the skills to proficiently explain intricate or technical data situations/findings to stakeholders. The ability to convey findings verbally and in writing and to create reports and presentations is a must for data scientists.
  • Programming: Data scientists need programming knowledge to automate tasks, organize data, and implement algorithms. Python, R, and SQL are some programming languages critical for analyzing data and managing databases.
  • Collaboration: Data scientists must have collaboration techniques to work with teams from different departments. They must cooperate with business executives to meet their data requirements and goals by offering data-driven recommendations. 
  • Probability and statistics: Having a good base in probability and statistics is another skill required by data scientists to make critical decisions by analyzing data accurately. 

Tips for data science professionals to integrate AI

Here are some tips to stay relevant in the age of AI through AI integration in data science careers:  

  • Embrace the habit of lifelong learning: Continuous learning is essential in the age of innovation. With the passion to learn new skills and adapt, staying relevant is possible. 

AI is transforming industries and creating demand for new skills by making some old ones obsolete. By being proactive in gaining the know-how of new skills, one can keep pace with change. This can be done by enrolling in online courses and sitting for workshops and conferences.

  • Keep an AI-centric approach: Putting AI at the core of your work helps you be more productive and better serve your customers. This requires the immediate need to learn AI tools and technologies to offer better business solutions. An AI-centric approach doesn’t indicate becoming an AI expert but having a basic knowledge of AI to understand its impact on your industry.
  • Leverage your human qualities and intelligence: For humans to stay relevant in the age of AI, the most powerful strategy is to capitalize on innate human qualities like empathy and emotions, which set humans apart and are always in demand, regardless of advancement in technology. 
  • Promote human-AI collaboration: With AI evolving continuously, human and AI collaboration will be mandatory in the future. Rather than considering AI as a competition for human abilities, it should be considered to augment the competencies of humans to automate tedious tasks and generate new ideas. 
  • Bridge the gap between technology and industry with hybrid skills: When technical skills combine domain or industry-specific knowledge, it can be termed hybrid skills. For example, when your skills in coding combine with marketing skills, it can help in bridging the gap between technology and the marketing industry to serve as an invaluable asset and help you stay relevant in your domain.   

Being curious is the key to staying relevant. Learners should know and emphasize continuous learning as the key to success in the age of AI. Building a habit of sparing some time daily to learn a new skill is the need of the hour. Skills like critical thinking, strong communication, and problem-solving, which help improve human-AI collaboration are worth considering. Here, online degrees and certifications help upskill and stay relevant.    

Why should you enroll in MSc Data Science from MAHE?

Manipal Academy of Higher Education (MAHE) offers an online MSc Data Science program tailored for students and professionals aiming to advance in the growing field of data science. The online program covers key areas like machine learning, big data, statistics, and data visualization to prepare them for analytical and leadership roles. Learners can explore the future of data science with AI through this program, which covers ML applications, predictive modeling, and problem-solving skills with real-world data for developing planned and strategic recommendations. 

The programs offer a fully online learning experience with a flexible schedule without breaking the existing work schedule or obligations of candidates. MAHE is a NAAC A++-accredited institution that offers UGC-recognized programs and AICTE-approved degrees on the Online Manipal platform, ensuring high educational standards and global acceptance. 

Conclusion

AI is transforming data science careers by simplifying tasks like strategizing, innovating, and problem-solving. AI-driven changes in data science roles are creating new opportunities and jobs for graduates. Professionals who are upskilling and embracing these changes are at the fore of this fast-moving technology that is unlocking wide opportunities. The online MSc Data Science program by MAHE caters to the interests of candidates willing to pursue a career in data science and related fields.

Disclaimer

Information related to companies and external organizations is based on secondary research or the opinion of individual authors and must not be interpreted as the official information shared by the concerned organization.


Additionally, information like fee, eligibility, scholarships, finance options etc. on offerings and programs listed on Online Manipal may change as per the discretion of respective universities so please refer to the respective program page for latest information. Any information provided in blogs is not binding and cannot be taken as final.

  • TAGS
  • data science
  • Manipal Academy of Higher Education
  • Online MSC Data Science

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