We analyzed over 7000 Data Scientist job listings and public data sources in Hyderabad. This comprehensive study revealed some insights about the current scope of Data Scientists’ positions.
To help you understand the state of Data Scientist salaries in Hyderabad, India, we have highlighted several points, including:
- How much a Data Scientist typically earns
- The most in-demand skills based on job requirements
- The impact of experience and education on annual compensation
- Industry-specific demand for Data Scientists
Let’s get to the findings of our detailed research on the Data Scientist salary trend in Hyderabad.
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Key statistics at a glance:
- The average salary of a Data Scientist in Hyderabad is ₹14.5 Lakh.
- The top-paying companies for Data Scientists are Facebook, Franklin Templeton Investments, and Uber.
- The top skills required for Data Scientist jobs are Data Science, Data Analytics, Machine Learning, SQL, Python, and AI.
- 63% of Data Scientist jobs in Hyderabad offer an average salary of 6-10 lakh.
- The IT sector contributes almost 62% of the Data Scientist jobs available in Hyderabad.
What is the salary of a Data scientist in Hyderabad?
The average salary for a Data Scientist in Hyderabad is ₹14.5 LPA (Lakhs Per Annum), based on 4.8k salary records on AmbitionBox.
With 1-2 years of experience, you can earn around ₹9.4-10.5 LPA, which is a solid starting point for a technical role.
For those with 7-8 years of experience, the average salary climbs to ₹18.3 LPA, showing the potential for high earnings as you become more seasoned.
Entry-level salary nearly doubles within 7-8 years, showing excellent career progression. This consistent salary increase with each year of experience suggests that Data Science offers good prospects for long-term career growth and financial stability in Hyderabad.
What are the different types of data scientists?
The data from Ambition Box reveals several key roles in the data science field:
Senior Data Scientists and Lead Data Scientists are at the top, earning around ₹28 lakh per annum.
Data Science Analysts occupy mid-level positions, with salaries ranging around ₹13.2 lakh annually. Data Engineers, earning about ₹10.5 lakh per year, specialize in building and maintaining data infrastructure.
At the entry level, Data Scientist Interns start at ₹3.3 lakh annually, representing the first step in the data science career ladder.
This salary structure shows a clear progression path in the field, with significant earning potential as one gains experience and expertise.
Which companies pay the most to data scientists?
Based on the data from Ambition Box, the top-paying companies for data scientists are:
- Facebook offers the highest salary, providing ₹1.1 crore.
- Franklin Templeton Investments pays ₹49 lakh for Data Scientists with 8 years of experience.
- Franklin Templeton Investments offers ₹41.5 lakh to those with 5 years of experience.
- Uber offers ₹36.9 lakh for 3 years of experience for the same position.
- Uber pays ₹34.4 lakh for Data Scientists with at least 1 year of experience.
Facebook stands out as the top-paying option for Data Scientists, offering an exceptionally high salary.
Franklin Templeton Investments shows a strong salary progression for experienced professionals, making it an attractive choice for mid to senior-level Data Scientists.
But Uber provides a very competitive salary even for entry-level positions, making it an excellent starting point for those beginning their careers in Data Science.
The data shows a clear trend of salary increase with experience.
Can Data Scientist jobs be done remotely?
No, companies tend to favour hiring Data Scientists for onsite, work-from-office positions rather than remote roles.
We reviewed 1,565 job listings from Naukri and gathered interesting insights that the vast majority of jobs (91.63%) require working from the office, while hybrid arrangements account for about 6.84% of positions with 107 jobs. And the number of jobs available for remote positions is not that high, accounting for 1.4% of total jobs.
According to the analysis of job listings on LinkedIn, out of a total of 491 positions in Hyderabad with specified work arrangements, 49.49% (243 jobs) are marked as work from office.
This data highlights the preference for on-site work among companies, with remote opportunities being limited for Data scientists.
63% Data Scientist jobs in Hyderabad offer an average salary of 6-10 lakh
We analyzed 1,654 Data Scientist jobs to gain insights into salary distribution.
The top salary segment for Data Scientists is in the ₹6-10 lakh range, with 1,046 jobs representing 63.24% of the total positions.
Following closely, the ₹10-15 lakh salary segment contains 697 jobs, accounting for 42.14% of the market, which suggests that there are abundant opportunities for more experienced professionals.
Additionally, the ₹3-6 lakh range includes 670 jobs, making up 40.51% of the total positions, addressing entry-level Data Scientists.
The analysis shows that the Data Scientist job market offers competitive salaries, with a particular concentration in the mid-range salary brackets.
This suggests a healthy demand for professionals with a few years of experience, while also providing opportunities for both entry-level and highly experienced Data Scientists.
How many years of experience do you need to become a Data scientist?
Based on the analysis of 700 Data Scientist jobs, the outcome reveals that almost 70% of these positions require between 5 to 7 years of experience.
The top percentage category is for Data Scientists with 6 years of experience, accounting for 109 available positions, followed closely by those with 5 & 7 years of experience at 108 & 102 jobs.
In contrast, the minimum percentage is represented by those with 0-1 years of experience, making up just 11% of the total jobs. Notably, there’s also a considerable demand for professionals with 8 to 10 years of experience, collectively representing 200 of the jobs.
This data suggests that aspiring Data Scientists should focus on gaining relevant experience to improve the chances of their employability, with the majority requirement appearing to be between 5 to 7 years.
However, there are still significant opportunities for both entry-level candidates and highly experienced professionals in this competitive job market.
What skills are needed to be a data scientist?
Based on the analysis of 17300 Data Scientist jobs, here are the top required skills lined up:
- Data Science: Interdisciplinary field using scientific methods, processes, algorithms, and systems to extract knowledge and insights from structured and unstructured data.
- Machine Learning: Techniques and algorithms enabling computers to learn from and make predictions or decisions based on data.
- Python: Versatile programming language widely used in data science for its simplicity and powerful libraries like NumPy, Pandas, and Scikit-learn.
- SQL: Structured Query Language for managing and querying relational databases. Essential for data extraction and manipulation.
- Data Analysis: Process of inspecting, cleansing, transforming, and modeling data to discover useful information and support decision-making.
- Data Analytics: Process of examining data sets to draw conclusions about the information they contain, often with specialized systems and software.
- Artificial Intelligence: Development of computer systems able to perform tasks that typically require human intelligence, such as visual perception and decision-making.
- R: Programming language and environment for statistical computing and graphics, popular in academic and research settings.
- Deep Learning: Subset of machine learning based on artificial neural networks, capable of learning from large amounts of unstructured data.
- Data Mining: Process of discovering patterns in large data sets involving methods at the intersection of machine learning, statistics, and database systems.
- NLP (Natural Language Processing): A branch of AI dealing with the interaction between computers and humans using natural language, enabling machines to understand, interpret, and generate human language.
- Data Management: Practices and techniques for collecting, storing, protecting, and processing data to ensure its accessibility, reliability, and timeliness.
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What are the qualifications for a data scientist?
Another interesting finding about the educational requirements of Data Scientists is based on the analysis of 2,459 Data Scientist jobs.
The majority of positions, 51.89% (1,276 out of 2,459), are open to candidates with a bachelor’s degree, typically in fields like computer science, statistics, or related quantitative disciplines.
And a significant 47.13% (1,159 out of 2,459) of the jobs prefer or require candidates with a postgraduate degree, such as a master’s or Ph.D.
Meanwhile, only 0.98% (24 out of 2,459) of positions are available for those with undergraduate qualifications, indicating very limited opportunities for candidates without a full degree.
This indicates that a bachelor’s degree is the minimum educational requirement for over half of the data science roles and the high percentage for Post Graduation suggests a strong demand for advanced education and specialization in the field of data science.
What industry has the most data scientists?
The industry with the most demand for data scientists is IT Services, accounting for 62.88% of the total posting of 1565 jobs on Naukri.
The IT Services industry dominates the job market for data scientists, offering 984 out of 1,565 positions, or 62.88% of the total opportunities.
Healthcare & Life Sciences emerges as the second-largest sector, with 8.63% of job postings (135 positions). This indicates a growing need for data scientists in healthcare, likely driven by the increasing importance of data-driven decision-making in medical research, patient care, and health system optimization.
The Banking, Financial Services, and Insurance (BFSI) sector accounts for 5.37% of the postings (84 positions), highlighting the critical role of data science in financial modeling, risk assessment, fraud detection, and personalized financial services.
Other sectors like BPM, Media Entertainment & Telecom, Professional Services, Education, Manufacturing, and Infrastructure each offer fewer but still significant opportunities.
Data Sources
We hope you found some new and interesting insights. We have tried our best to bring you accurate data from credible resources.
Key data sources for this research are:
- Ambition Box
- Naukri
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Sairam Uppugundla is the CEO and founder of Codegnan IT Solutions. With a strong background in Computer Science and over 10 years of experience, he is committed to bridging the gap between academia and industry.
Sairam Uppugundla’s expertise spans Python, Software Development, Data Analysis, AWS, Big Data, Machine Learning, Natural Language Processing (NLP) and more.
He previously worked as a Board Of Studies Member at PB Siddhartha College of Arts and Science. With expertise in data science, he was involved in designing the Curriculum for the BSc data Science Branch. Also, he worked as a Data Science consultant for Andhra Pradesh State Skill Development Corporation (APSSDC).
