Top 10 Highest Paying Jobs in Data Science in India

Top-10-Highest-Paying-Jobs-in-Data-Science-in-India

Over the past years, data science jobs salary is one of the highest in industries these days as they offer roles across the domain of technology. Big Data magnifies enormously, and that particular thing based on data decision processes has contributed highly to its contribution in recruiting data science professionals. Data Science has attracted some of these highly paid professions in technology. India, with its booming tech industry and significant investments in technology, presents workers in the field with many such opportunities. The primary motive behind framing this blog post is to present the 10 highest paying Data Science jobs in India and its role along with its average salary.

It's all about Data Science

Table of Contents

Data Science is the interdisciplinary field that applies several statistical, mathematical, and computing measures related to the analyses and interpretation of complicated data, offering a vast variety of data science job opportunities. Its main objective lies in deriving knowledge and insights from both structured and unstructured data to drive businesses in decision making. Data science jobs use techniques like machine learning, predictive modeling, and artificial intelligence to identify patterns residing in datasets. 

So, data science actually consists of some of the main processes, viz—collection, cleaning, analysis, visualization of data and interpretation. Data Science is basically a process of conversion of raw or unstructured data into actionable insights, a mix of technical and domain expertise. Data science makes use of the tools and technologies available and is continuously evolving this aspect, making it a dynamic and exciting field to work in.

Top 10 High Paying Data Science Jobs in India

1. Data Scientist 

A data scientist is one of the sexiest occupations of the 21st century for any organization that uses data intensively. A data scientist analyzes vast amounts of data, discovers patterns, builds predictive models, and provides actionable insights to the organization from the data.

Key Responsibilities 

    • Cleaning big datasets and synthesizing the results
    • Developing machine learning models and crafting the models
    • Data analysis to understand trends of businesses
    • Communication of analytics and data findings using data visualization
    • Collaborate and align with cross-functional teams on business requirements

Skills Required

    • Great Knowledge of Programming languages – Python, R, and SQL
    • Understanding of Statistical methods, Machine Learning Algorithms
    • Working with data visualization tools such as Power BI and Tableau
    • Big data technologies: Hadoop and Spark
    • Analytical skills and Problem Solving capability

 Average Salary

According to Glassdoor, data science job salary in India varies over a range between INR 8 LPA to 19.6 LPA, depending upon whether you’re a fresher or a seasoned professional. The average annual salary of a data scientist in India is INR 12 LPA.

2. Machine Learning Engineer 

Machine learning engineering is another data science job, that design and develop applications that focus on improving the quality of artificial intelligence. Machine learning engineers work closely in the implementation of models with data scientists. They then integrate it into production systems, working on scalability and performance. 

 Key Responsibilities

    • Design and implement machine learning models for production that are feasible to deliver
    • Develop algorithms and provide tuning options for the above models
    • Integrate the machine learning models into the production system by collaborating with data scientists as well as software engineers
    • Monitor and improve model performance on an ongoing basis

 Skills Required 

    • Proficiency in Python, Java, and C++ proficient
    • Experience in TensorFlow, Keras, and PyTorch machine learning or deep learning frameworks
    • A good command of data structures and algorithms; knowledge of deep learning and neural networks
    • Able to work with big data technologies and large datasets

Average Salary 

According to Ambitionbox, the data science job salary of a machine learning engineer in India varies over a range of INR 3 LPA to 22 LPA depending upon whether you’re a fresher or experienced. The average annual salary of a machine learning engineer is INR 10.2 LPA with an estimated take home salary of INR 49,613-50,785 per month.

3.  Data Engineer 

Data engineering is one more data science job, responsible for the design and maintenance of the infrastructure necessary for the generation, collection, storage, and processing of data. They design and build scalable data pipelines, taking care of the security and integrity of the data. 

 Key Responsibilities 

    • Design and develop data pipelines.
    • Ensure data quality and integrity.
    • Manage and optimize data-storage solutions.
    • Work with data scientists to prepare data for analysis.
    • Implement data-security and privacy measures.

Required Skills 

    • Strong programming skills in Python, Scala, and SQL.
    • Experience working with big data technologies like Hadoop, Spark, and Kafka.
    • Knowledge of data warehousing solutions like Amazon Redshift and BigQuery from Google.
    • Knowledge of ETL processes.
    • Strong problem-solving and analytical skills.

Average Salary 

According to Glassdoor, the salary of a Data Engineer varies over a range between INR 5 LPA to INR 16 LPA depending upon whether you’re a fresher or  a seasoned professional. The average annual salary of this data science job in India is INR 10 LPA.

4. Data Architect 

Data architect data science jobs craft professionals who are responsible for creating and managing an enterprise data architecture that is used to store and process the information from various stakeholders from the enterprise. They define the blueprint for data management systems in such a way that data is stored, maintained, and accessed efficiently. 

 Key Responsibilities 

    • Design and put into effect data architecture solutions.
    • Conduct data modeling and database design activities.
    • Develop the quality and consistency of organizational data.
    • Working with IT and business teams to define data requirements.
    • Overseeing data integration and ETL processes.

 Skills Required

    • Strong knowledge of data modeling and database design.
    • Experience with data warehousing and ETL tools.
    • Proficiency in SQL and database management systems.
    • Understanding data governance and compliance standards.
    • Strong communication and project management skills.

Average Salary

According to Glassdoor, the average salary of a data architect in India varies over a range of INR 18 LPA to 30 LPA depending upon whether you’re a fresher or a seasoned professional. The average annual salary of this data science job in India is INR 24.5 LPA.

5.  AI Research Scientist

AI research scientists are another type of data science jobs, that are dedicated to the development of artificial intelligence technologies. They research to develop new algorithms, improve existing models, and solve complex AI problems. The AI research scientist works on machine learning, natural language processing, and computer vision. 

Key Responsibilities

    • Researching new AI algorithms and models.
    • Collaborating with academic institutions and research labs.
    • Publishing research papers in top AI conferences and journals.
    • Implementing AI solutions to solve complex business problems.
    • Staying updated with the latest advancements in AI technologies.

Skills Required 

    • Strong background in machine learning, natural language processing, and computer vision.
    • Experience in programming languages such as Python and C++.
    • Implemented various AI frameworks and libraries like TensorFlow and PyTorch.
    • Strong analytical and problem-solving abilities.
    • Must work on given problems individually or as part of a research team.

Average Salary

According to Abmitionbox, the average data science job salary of an AI research Scientist in India varies over a range of INR 3 LPA to 35 LPA depending upon whether you’re a fresher or a seasoned professional. The average annual salary of an AI research scientist in India is INR 10 LPA.

6. Business Intelligence (BI) Developer 

BI developers are another type of data science jobs, that design and develop business intelligence solutions that help organizations make informed decisions. They create dashboards, reports, and data visualization tools to help stakeholders understand business performance and trends. 

Key Responsibilities

    • Design and develop BI solutions and dashboards.
    • Develop reports and data visualizations to aid business decisions.
    • Engage with business stakeholders to understand their data requirements.
    • Deliver data in BI reports accurately and consistently.
    • Continually work on BI tool and solution optimization for better performance.

Skills Required

    • Proficiency in BI Tools like Tableau, Power BI, QlikView.
    • Excellent knowledge in SQL and data warehousing concepts.
    • Expertise in data visualization and reporting.
    • Strong analytical skills and problem-solving ability.
    • Good communication and collaboration skills.

Average Salary 

According to Glassdoor, the average data science job salary of a BI developer in India varies over a range of INR 5 LPA to 10 LPA depending upon whether you’re a fresher or a seasoned professional. The average annual salary of a BI developer in India is INR 6 LPA.

7.  Big Data Engineer

A big data engineer would be required to work in managing and processing large datasets which could not be processed with the help of traditional data processing tools. They will work with Hadoop, Spark, and Kafka to implement scalable data processing systems. 

 Key Responsibilities

    • Design big data processing systems and incorporate the same.
    • Develop data processing workflows with the help of Hadoop, Spark, and Kafka.
    • Ensure data quality and consistency.
    • Collaborate with data scientists and analysts for understanding the data requirements.
    • Optimize and monitor big data systems for scalability and performance.

Skills Required 

    • Proficiency in programming languages like Java, Python, and Scala.
    • Experience in big data technologies such as Hadoop, Spark, and Kafka.
    • Knowledge of data warehousing solutions, such as Amazon Redshift and Google BigQuery.
    • ETL processes and data integration.
    • Good problem-solving and analytical skills.

Average Salary 

According to Ambitionbox, the average salary of a big data engineer in India varies over a range of INR 3.6 LPA to 21.1 LPA depending upon whether you’re a fresher or a seasoned professional. The average annual salary of this data science job in India is INR 10.8 LPA.
Career Progression in Data Science

8. Quantitative Analyst (Quant)

The next type in data science jobs is Quantitative analyst. The professional applies financial and risk management problems to mathematical and statistical methods, developing models to evaluate financial markets and define the risks and returns associated with investment decisions. Professionalism is required in many areas relating to the finance and investment banking segment. 

Key Responsibilities

    • Developing quantitative models for financial market analysis.
    • Researching trading and investment ideas.
    • Identifying, analyzing, and recommending risk management strategies.
    • Working on and validating quantitative models continuously.

Required Skills 

    • Strong hands-on programming in Python, R, and MATLAB.
    • Very good knowledge of financial markets and theories.
    • Proven mathematical and statistical forensic ability.
    • Strong analytical and problem-solving skills.
    • Ability to work in a fast-paced, high-pressure environment.

 Average Salary 

According to Ambitionbox, the average salary of a quantitative analyst in India varies over a range of INR 2.6 LPA to 42 LPA depending upon whether you’re a fresher or a seasoned professional. The data science job salary for this role in India is INR 22.8 LPA.

9.  Data Analyst 

Data Analyst is another data science job opportunity that is all about interpreting and analyzing the data with the motive of supporting business decisions, employing techniques for analysis. It generally uses tools such as SQL, Excel, and R for inspecting the data and preparing reports based on statistical techniques. 

Key Responsibilities 

    • Collection and analysis of data to derive trends and pattern identification.
    • Creating reports and visualizations to present data insights.
    • Collaborate with business stakeholders to understand their data needs.
    • Make recommendations based on data analysis.
    • Ensure reports and dashboards have accuracy and integrity.

Required Skills 

    • Strong working knowledge of SQL, Excel, and data analysis tools such as R.
    • Good at analytics and statistics.
    • Knowledge of data visualization tools like Tableau or Power BI.
    • Collaborative and communication skills.

Average Salary

According to Glassdoor, the average salary of a data analyst in India varies over a range of INR 4 LPA to 9 LPA depending upon whether you’re a fresher or a seasoned professional. The average of this data science job salary in India is INR 6.5 LPA.

10. Chief Data Officer (CDO)

The best data science job opportunity that one can get into is Chief Data Officer. This is an extremely senior executive position where one is responsible for an organization’s data strategy and governance. CDOs tend to oversee the matrix of everything about data in an organization. They are tasked with ensuring there is efficient utilization of data in support of the organization for business growth and innovation. 

Key Responsibilities 

    • Design and implement the organizational data strategy.
    • Oversee and develop data governance and management practices.
    • Guaranteeing proper adherence to firm data quality, privacy, and security protocols by collaborating with executive leadership.
    • Align data initiatives with business goals and drive.
    • Leading and managing the data professionals team in the company.

Required Skills

    • Experience in data management and analytics.
    • Strong leadership and project management experience.
    • Excellent communication skills and partnership capabilities.
    • Knowledge of data governance and compliance standards.
    • Strategic thinking and problem-solving skills.

Average Salary

According to Ambitionbox, the average salary of a Chief Data Officer (CDO)  in India varies over a range of INR 10.2 LPA to 130 LPA depending upon whether you’re a fresher or a seasoned professional. The average of this data science job salary in India is INR 47.3 LPA.
Conclusion

Data science is one domain that has a wide range of data science job opportunities in India, with the best of salaries possible. All these job profiles will grow as businesses continue to adopt a data-driven approach toward superlative decision-making. Whether you are a beginner or you seek to advance to more lucrative positions, data science is an area where investing your time and skills will pay off. Yes, from data scientists and machine learning engineers to maybe even a CDO, the world is full of data science job opportunities that are both vast and lucrative. Enhance your investment in learning and skill-building, and you may end up in one of those very high-paying data science jobs. Keep yourself updated with the latest trends and keep improving your skills for a successful and rewarding career in data science, which is dynamic and ever-growing.

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