The global demand for data science jobs has skyrocketed, especially in MNCs, where data is the backbone of decision-making. From data scientists to machine learning engineers, the need for experts capable of handling and interpreting large datasets is more crucial than ever. These roles not only offer competitive pay but also contribute significantly to strategic business decisions, ensuring a promising career for those skilled in the field.
A data analyst is responsible for transforming and analyzing large data sets to help businesses make informed decisions. This is one of the most common data science jobs in MNCs, requiring proficiency in tools like SQL and Python. Data analysts play a critical role in interpreting data to track company performance, contributing to higher operational efficiency. The average salary for this role in India is approximately ₹6.4 lakhs per annum, making it an attractive entry point into data science careers.
A data scientist works on more technical tasks than a data analyst, handling vast amounts of data and uncovering patterns that can drive strategic decisions. This role is considered one of the highest-paying data science jobs in MNCs, with an average salary of ₹14.4 lakhs in India. Data scientists are expected to have advanced degrees, and they often specialize in fields such as healthcare, retail, or IT. They combine machine learning with statistical models to deliver actionable insights.
Machine learning engineers are at the intersection of data science and software engineering. They create data pipelines and software solutions that integrate machine learning models to predict outcomes. As a machine learning engineer, one must be adept at programming and statistics, which are crucial for building scalable, automated systems. This role is highly sought after in MNCs, with an average salary of ₹10.1 lakhs, and it is one of the fastest-growing data science jobs in MNCs.
A machine learning scientist is primarily concerned with investigating. They develop new algorithms and learning models that businesses may use for various applications. This role plays a very important part in the advancement of the field of machine learning. With an excellent background in research and development, a scientist in machine learning helps companies get at the frontier edge of innovation. In India, such professionals earn ₹5.7 lakhs on average per year. Thus, it is one of the more research-intensive data science jobs.
The applications architect oversees how the applications are designed and the interactions within an organization. Focuses on building application infrastructures that support business processes, user interfaces, and data flow. Average annual income of the applications architect is ₹34.9 lakhs, which is one of the most handsome salaries among data science jobs in MNCs. It combines technical as well as leadership skills, hence a high-stakes, fast position.
Data architects are responsible for designing and maintaining the databases supporting business intelligence functions. It needs enormous expertise in the area of database administration and system architecture. They ensure how efficiently data can be stored and access to which data scientist can get it easily. In terms of salary, at ₹26.9 lakhs an average salary, data architect is one of the best paying data science jobs in MNCs and is increasing in demand.
An enterprise architect aligns the business objectives of a company with its IT infrastructure. He enables businesses to leverage technology to achieve strategic outcomes. The role demands a logic of understanding business processes and technical solutions, hence much sought in MNCs. Enterprise architects are counted among the most coveted professionals who accept the data science jobs in MNCs and draw an annual remuneration of ₹37.6 lakhs.
An infrastructure architect will make sure the technological systems of a business align to their goals. Most often, this position deals with managing cloud infrastructures and making sure data flows around various systems. Data scientists often work in collaboration with infrastructure architects to ensure that their models can function at scale. With an average salary of ₹25.2 lakhs, this is one of the most specialized data science jobs in MNCs.
Statisticians work to draw out input data from inputs, analyze them, and make decisions on such data input; they help businesses make good decisions. They interpret trends of the data to enable organizations to set up their strategies about how best to operate. Statisticians are highly sought; their skills will be valuable to any company that relies on decision-making based on data. In India, they can command a salary of about ₹5.8 lakhs per year.
The BI analyst would formulate strategic plans and ensure usage of data during decision making. BI tools are designed, and such analysts work directly with end-users so that data can be taken out in a right manner and well comprehended by end-users. This job role can earn an average salary of ₹8.6 lakhs per year, which lies in perfect business acumen and technical expertise and is one of the most lucrative data science jobs in MNCs.
Data science jobs in MNCs are on the rise as most companies at present rely significantly on data for strategic decision-making. From data scientists to machine learning engineers, they all offer good prospects for career growth and rewards in terms of financial success. Each one of them demands a strong foundation in data analytics, programming, and statistics while promising an exciting and rewarding career path.