Are you Confused about which Job to choose in the field of data science? Don’t worry this article will clear all your confusion giving you an insight into every job covering from salary hikes to the qualifications needed for each job.
Data Science Jobs- Key Takeaways
- Understanding what Data Science is and why is it necessary.
- Discussing about the future of Data Scientist.
- Getting familiar with various roles and their salaries in the field of Data Scientist.
What is Data Science
Data science is the field of using scientific methods, algorithms, and processes to extract knowledge and insights from structured and unstructured data. Data Science involves various techniques, tools, and methodologies aimed at finding meaningful patterns, trends, and relations within large and complex datasets.
A common and most popular example of data science is Amazon.
Amazon uses data science for personalized recommendations of products, supply chain optimization, fraud detection, and inventory management. They analyze customer behavior, purchase history, and browsing patterns to recommend products to customers and improve their shopping experience.
As per the McKinsey Global Institute Report 2018, data science and AI are considered as next frontier of Innovation and productivity.
In short a company that uses Data Science and AI leads to 60% more productivity and growth as compared to the normal company. So companies nowadays are switching towards big data and data science to increase their productivity and profits which is why there is a growing demand for Data Science jobs in today’s world.
Future of Data Science in India
The career growth for data science graduates is exceptionally bright, not just within India but on a global scale. In today’s data-driven world, where decisions are moreover based on data insights and trends rather than intuition alone, the demand for skilled data science professionals has skyrocketed across industries.
Every day, large amounts of data are generated in structured and unstructured formats. To extract valuable trends and insights, organizations are actively seeking out data scientists with expertise in various data science techniques such as artificial intelligence, machine learning, deep learning, and more.
Data science professionals play an important role in transforming raw data into useful information, enabling businesses to make informed decisions, optimize processes, identify trends, and predict outcomes.
Highest-Paying Data Science Jobs in India
Now, let’s talk about some of the highest-paying data science jobs in today’s world as these jobs listed below are in high demand in today’s data-driven and advanced world.
| S.No | Â Â Â Â Â Â Â Â Â Jobs | Â Â Â Â Â Â Â Â Â Â Â Â Average Salaries |
| 1 | Data Analyst | 6.4 LPA |
| 2 | Data Scientist | 14.4 LPA |
| 3 | Machine Learning Engineer | 10 LPA |
| 4 | Machine Learning Scientist | 7 LPA |
| 5 | Application Architect | 30 LPA |
| 6 | Data Architect | 26 LPA |
| 7 | Enterprise Architect | 37 LPA |
| 8 | Infrastructure Architect | 25 LPA |
| 9 | Statistician | 5.8 LPA |
| 10 | Business Intelligence Analyst | 8.6 LPA |
| 11 | Data Engineer | 10.8 LPA |
| 12 | Quantitative Analyst | 22.9 LPA |
| 13 | Data Warehouse Architect | 25 LPA |
1. Data Analyst
The role of a data analyst is crucial in today’s data-driven business environment. Data analysts are responsible for collecting, processing, analyzing, and interpreting data to derive meaningful insights and trends from it, that help businesses in making decisions and building strategies.
Preferred qualifications: Entry-level openings in this position require a minimum of a bachelor’s degree that too in Science, maths, or statistics. One applying for the job should have good knowledge of aptitude, reasoning, and critical thinking. Individuals should also have basic proficiency in programming skills like SQL, Python, Oracle, etc.
Apart from all this having good communication skills is a must.
Future Scope: analyzing the previous stats and trends of the Data Analytics industry, it is expected that this field will experience rapid growth in India as well as in the world.
Salary of Data Analyst:
The average data analyst salary in India is around 6.4 lakhs per annum. Whereas the salary generally ranges from 1.8 lakhs to 12.9 lakhs per annum depending on various factors such as Experience, skills, industry, geographical location, and much more.
 2. Data Scientist
Data scientists play a vital role in unlocking the value of data, The data scientist plays multiple and dynamic roles, which include a wide range of responsibilities related to data analysis, machine learning, statistical modeling, and deriving actionable insights from data.
Preferred Qualifications- Qualifications needed for a Data Scientist include A master’s degree or advanced qualifications with a good knowledge of programming languages, and database commands. In addition to that good experience in a relevant field or industry is also important for data scientist roles.
Salary: The average salary for a Data Scientist in India is around 14.4 lakhs.
Whereas the salary ranges between 3.9 to 28 lakhs per annum depending on the experience, skills, Location, and industry of the individual.
3. Machine learning Engineer
Machine learning engineers play a critical role in developing scalable, reliable, and impactful machine learning solutions that help in fetching data to drive business value.
They work closely with data scientists to design a desired system that can give huge amounts of real-time data in minimum time.
Preferred Qualifications: Machine learning engineers generally have strong skills in statistics and programming. Having good problem-solving skills and good communication skills are also desired.
Usually, a software engineer with Desired experience is preferred for such roles.
Salary: The salary of a Machine learning engineer in India ranges from 3.0 Lakhs to 22.0 Lakhs per annum, with an average salary of 10.0 Lakhs per annum.
The salary may vary depending on the experience, industry type and geographical location of an individual.
4. Machine Learning Scientist
As a Machine Learning Scientist, your primary job role revolves around designing and implementing machine learning algorithms and models to solve complex data-driven problems. You’ll work on developing predictive models, analyzing large datasets, and collaborating with cross-functional teams to drive data-driven decision-making processes.
Preferred Qualifications: To qualify for a Machine Learning Scientist position, most companies look for candidates with a strong educational background in computer science, mathematics, statistics, or a related field.Â
A master’s or doctoral degree in machine learning, artificial intelligence, or data science is often preferred, along with hands-on experience in developing machine learning models, using programming languages like Python or R, and working with tools like TensorFlow, PyTorch, or scikit-learn.
Salary: In India, the salary of a Machine Learning Scientist can vary based on factors such as experience, location, company size, and industry.
On average, entry-level Machine Learning Scientists can expect to earn around ₹6-10 lakhs per annum, while experienced professionals with several years of experience and advanced skills can earn salaries ranging from ₹15 lakhs to ₹40 lakhs per annum.
5. Applications Architect
As an Application Architect, your primary job role is to design and oversee the overall architecture of software applications within an organization. This includes defining the structure, components, modules, and interactions of the application to ensure scalability, reliability, and performance.
Application Architects collaborate with developers, project managers, and stakeholders to understand requirements, establish design patterns, and make strategic technology decisions that align with business goals.
Preferred Qualifications: To become an Application Architect, a bachelor’s degree in computer science, software engineering, or a related field is must. However, many employers also prefer candidates with a master’s degree or relevant certifications in architecture frameworks.
Salary: In India, the salary range for Application Architects varies depending on factors such as experience, location, company size, and industry.Â
On average, entry-level Application Architects can expect a salary ranging around 10 lakhs per annum, while experienced professionals with several years of experience and expertise can earn upwards of ₹30 lakhs per annum or more in top-tier companies or IT hubs like Bangalore, Pune, or Hyderabad.
6. Data Architect
A Data Architect plays an important role in designing and implementing data solutions for organizations. They are responsible for creating data models, defining data architecture standards, and ensuring data integrity and security. Data Architects collaborate with stakeholders to understand business requirements and design data systems that support business objectives.Â
They also evaluate and implement data technologies, oversee data integration processes, and provide guidance on data management.
Qualifications Needed: To become a Data Architect, a candidate needs a strong educational background in computer science, information technology, or a related field.Â
A bachelor’s degree is often required with certifications in database management, data architecture, or cloud computing.Â
Data Architects should also have a solid understanding of database technologies, data modeling principles, ETL processes, data governance, and business intelligence tools.
Salary: On average,Â
- Entry-level data Architects can expect to earn around ₹5-8 lakhs per annum.Â
- Mid-level Data Architects with several years of experience may earn between ₹10-20 lakhs per annum.Â
- Senior Data Architects working in top-tier companies or specialized industries can get an annual salary ranging from ₹20 lakhs to ₹50 lakhs or more
7. Enterprise Architect
The primary role of an Enterprise Architect is to design and oversee the architecture of an organization’s IT system.Â
They work closely with stakeholders to analyze business requirements and develop strategic plans to align technological solutions with the company’s goals. Their responsibilities may include defining standards, frameworks, and guidelines that help ensuring the scalability, security, and efficiency of the system.
Preferred Qualification:Â
Enterprise Architecture basically need a bachelor’s degree in computer science, information technology, or a related field. Many employers also prefer candidates with certifications such as AWS Certified Solutions Architect, or other industry-recognized certifications.Â
Along with this having several years of experience in IT architecture, Good project management skills, and strong problem-solving skills are essential for this Role.
Salary:Â
The salary of an Enterprise Architect in India ranges from 20 Lakhs to 75 Lakhs, with an average annual salary of 37 Lakhs.
These salaries may vary depending on the experience, qualifications, and location of the Individual.
8. Infrastructure Architect
An infrastructure architect is responsible for analyzing the existing business systems to ensure that they support the new technological requirements. Nowadays, in this new tech world, industries are hiring Infrastructure architects a lot to supervise their Cloud architecture.
Preferred qualifications:
A degree in computer engineering or software development with good knowledge of database administration, information technology, and system maintenance.
Salary: Infrastructure architect has become one of the highest-paying data science jobs in India due to its increasing demand.
The average salary of an infrastructure architect in India is around 25.2 lakhs per Annum.
Whereas the range can vary from 13LPA to 35LPA+ based on the years of experience, industry, and market conditions.
9. StatisticianÂ
Next in the Category of Highest paying Data Science Job is the post of Statistician, Statisticians are like detectives for data in the world of Data Science. They look at information, clean it up, and study it using special tools and math tricks.Â
Their job is to find patterns and connections in data that can help businesses make smart choices. They work with teams of other data experts to test ideas and make predictions based on what they find.
Preferred qualifications:
To be a statistician in a good company, a bachelor’s degree in the field of computer science, Mathematics, or Economics is a must.
Along with this good knowledge of mathematical concepts and problem-solving skills are also important.
Salary: The salary of a statistician in India Ranges from 2.0 Lakhs to 17 Lakhs P.A, depending on the experience and knowledge of an individual.
If you are a fresher in the industry with all the desired skills, you can expect an entry-level salary of around 3-5 LPA.
Moreover, the salary also depends on the nature of the company you are applying in.Â
10. Business Intelligence Analyst
A Business Intelligence Analyst in Data Science helps businesses to make smart decisions by analyzing data. They collect the relevant data and then study to find patterns and relevant trends. This information is then used to create reports and visualizations that show how the business is doing.
They work with teams to create more and more profit for their companies.
Preferred Qualifications:
A bachelor’s degree in the field of Computer Science, Mathematics, Statistics, or a relevant field is a must.
As you know this job is a combination of technical skills with management skills. So having good statistical and problem-solving skills is also required.
Salary: The salary of a Business Intelligence Analyst in India ranges from 3.1 Lakhs to 17.4 Lakhs, with an average annual salary of 9 Lakhs.
These salaries may vary depending on the experience, qualifications, and location of the Individual.
11. Data Engineer
A data engineer is mainly responsible for maintaining and managing the data at the Company. It is one of the highest-paying jobs data Science Job which is also in demand currently.
The data engineers use various tools and technologies to analyze and manage software for the businesses.
Preferred Qualifications: A bachelor’s degree in the field of Computer Science, or in any relevant technical field is mainly preferred by companies for this post.
Along with the degree, some much-desired skills include: Good knowledge of programming skills, good command over SQL operations, and Good knowledge of Data warehousing and mining.Â
Salary: In India, the salary of a Data Engineer can vary based on factors such as experience, location, company size, and industry.
On average, entry-level Machine Learning Scientists can expect to earn around ₹4-6 lakhs per annum, while experienced professionals with several years of experience and advanced skills can earn salaries ranging from ₹15-25 lakhs per annum.
12. Quantitative Analyst
Quantitative analysts, often referred to as ‘quants’ are specialized in using advanced statistical tools to analyze data, solve complex problems, identify optimal solutions, and make predictions about future events.Â
Their role involves deep involvement in data analysis to provide accurate insights and predictions for the future.
Preferred Qualifications:
Qualifications needed for Quantitative Analysis include a bachelor’s degree in mathematics, statistics, economics, or related fields. Strong quantitative skills, proficiency in using tools like Oracle, SQL, etc and basic financial knowledge.
Salary: This one is also among the highest-paying jobs in data science with an average salary of 22.9 lakhs per annum.
13. Data Warehouse Architect
A Data Warehouse Architect is someone who designs and builds systems to store and manage large amounts of data. They organize data in a way that makes it easy for businesses to analyze and use it for decision-making. Their job involves creating databases, designing data models, and ensuring that data is stored securely and efficiently.Â
Preferred Qualifications:
To become a Data Warehouse Architect, you need a bachelor’s degree in computer science, information technology, or a related field. Strong skills in database management and data modeling processes are essential.Â
Experience with data warehousing technologies, such as SQL databases, data integration tools, and cloud platforms is also important.
Salary: The Average salary of a Data Warehouse Architect in India is 25LPA.
Whereas if you are a fresher with zero experience you can expect an entry-level salary of around 8-12 LPA depending on your skills and knowledge.Â
List of Companies Offering High Salaries to Data Scientists
Here is the list of companies for your reference that are actively hiring people from the field of Data Science and offering high salaries to them.
If you think you have all the desired qualifications mentioned above in the article, you can apply for these jobs on the respective websites of the company.
- GoogleÂ
- WalmartÂ
- Amazon
- Flipkart
- IBM
- Deloitte
- Accenture
- Citrix
- Fractal Analytics
These are some of the tech giants hiring actively for Data Science Jobs, apart from this there are a lot of Companies available in the market that are looking for Candidates in the field of Data Science, offering high salaries to them.
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Data Science Jobs FAQs
What skills are required for a data science job?
The much-needed skills for Data scientists include:
Good knowledge of programming (Python, R, SQL),
Statistical analysis skills
Good command over machine learning algorithms
Data preprocessing knowledge
Data visualization Knowledge
Critical thinking and problem-solving skills
Familiar with tools like Jupyter Notebooks, Pandas, NumPy, Scikit-Learn, and TensorFlow.
Which industries hire data scientists?
Data scientists are in demand across various industries such as technology, finance, healthcare, e-commerce, marketing, telecommunications, government, education, and transportation. Any sector that generates and relies on data will need a data scientist for growth and profit.
How can I prepare for a data science job?
To prepare for a data science job, aspiring data scientists can start by acquiring relevant skills through online courses, bootcamps, or self-study. They should build a strong portfolio showcasing their projects, participate in data science competitions or hackathons, network with industry professionals, and seek internships or entry-level roles to gain practical experience.
