Data Scientist Jobs in Chennai

Last Updated : 15 Apr, 2024

Chennai, being recognized with the sobriquet of Detroit of India because of its highly mechanized auto industry, is now a go-to place for heavy R&D and innovation. This metropolis presents a growing and ever-increasing demand for data scientists who possess highly specialized skills. Data Scientists assume this expansive responsibility of drawing useful inferences from data and directing business operations and decisions. Let’s take a deep dive into the jobs scene of data scientists in Chennai, covering companies, career portals, salaries, and trends for data professionals in the city.

Major roles and responsibilities of a Data Scientist involve:

Exploratory analysis entails uncovering the patterns, trends, and relationships that prevail within the dataset.
Utilize statistical methods for data analysis, search for correlations, and pre-vision.
Create and use machine learning models to select one issue and solve it or be useful for analytical systems.
Get ahold of the model performance by subjecting it to several evaluation measures and cross-validation procedures.
Realize and use acquisition techniques from unstructured data for incorporation in the model to attain desired outcomes.
Use images to present discoveries and conclusions, helping a board of directors or stakeholders to understand the information better.
Suggestive: Work closely with the cross-functional team and summarize findings to both technical and non-technical parties.
Know what are the latest resources and information out there, to upgrade, widen, and improve your skills and capabilities.

Companies Hiring Data Scientists in Chennai

Tata Consultancy Services (TCS)

Requirements:

Proficiency in Python, R, SQL is required to master scientific computing.
Coursework in machine learning and data visualization would provide me with the relevant skills.
Powerful analytical and problem-solving qualities, which are key to my career success.

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Infosys

Requirements:

Statistical analysis mastering, advanced statistical modeling of data.
This is one of the biggest benefits that learning big data skills can bring to our work.
Clear communication and good team collaboration are needed.

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Wipro

Requirements:

Advanced knowledge of data mining techniques
Familiarity with cloud platforms (AWS, Azure)
Experience in NLP, deep learning.

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Accenture

Requirements:

Useful in performing data transformation and dirty data cleaning.
We specialize in developing and installing ML systems.
Knowledge of professional areas of activity.

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Cognizant

Requirements:

Real life practice in data cleaning, data engineering and processing.
Knowledge of the programming language Python and Java will be of great benefit.
Understand architecture and functionalities of distributed computing frameworks.

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IBM India

Requirements:

Deep understanding of statistical techniques
Working with data preprocessing and analytical exploration.
Skills in employing ML frameworks (TensorFlow, PyTorch) will be advantage.

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HCL Technologies

Requirements:

Proving high efficiently in working with the analytics software tools (e.g. SAS, SPSS)
Data modeling as well as phylogenetic methods, clustering techniques are very essential.
These behaviors are integral among the successful professionals.

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Amazon Development Centre

Requirements:

Skill in data mining, ETL operation.
Hands-on experience with AWS serviçes.
The ability to solve problems and analyze situations is solid.

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PayPal

Requirements:

Familiarization with a few data visualization tools (Tableau, Power BI).
With fraud detection and risk analytics experience.
High level skills of SQL and database management.

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Paytm

Requirements:

Knowing how to do Python, R for data analyst.
Acquiring experience in creation of recommendation systems
E-commerce and fintech study are also important.

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Deloitte

Requirements:

3+ years of relevant experience working in data science with a track record of delivering insights and business impact
Advanced statistical modeling skills.
Practice with business intelligence solutions
The ability to deliver a good consultancy and perform well with the clients.

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Capgemini

Requirements:

Strong competence in data visualizations e.g. Tableau and QlikView.
at least 6 months experience, job said, of expertise in Machine Learning, Predictive Analytics.
Data Governance and quality control are the experience gained in the field.
First, there is a solid grasp of data problems applicable to industrial sector.

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Oracle India

Requirements:

At last 1+ year experience of the recent relevant field (entry level).
Knowledge of Oracle databases and SQL query language abilities.
Skills in data warehousing, ETL transactions.
Skills available in OAC (Oracle Analytics Cloud).

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Google India

Requirements:

Master’s degree or PhD in Statistics, Biostatistics, Operations Research, Physics, Economics, Applied Mathematics, or similar quantitative discipline, or equivalent practical experience.
Relevant internship or work experience with data. Experience in quantitative methodologies with statistics and causal inference method.
Experience with statistical software (e.g., R, Python, S-Plus, SAS, or similar).

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Microsoft India

Requirements:

Proficiency in Azure and SQL Server will enable to develop and deploy scalable and highly available apps quickly.
Expertise in creating ML solutions at such a scale.
Being a consistently high performer demands the application of effective problem solving and cooperating abilities.

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Zoho Corporation

Requirements:

Data analysis as well as visualization skills are included in ones knowledge base.
A CRM analytics knowledge in customer segmentation is also a must.
The business model of SaaS is well-established business models.

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Uber India

Requirements:

Advanced in setting up data analytics instruments ( data which includes Looker, Tableau).
In the domain of demand forecasting and pricing analytics, I have worked.
Significant experiences in strategic planning, financial management, and quick decision-making.

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Flipkart

Requirements:

Advanced SQL querying and the data molding abilities.
Competence in development of recommendation algorithms.
Handling supply chain analytics is an essential feature.

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Swiggy

Requirements:

It is essential for Python and R programming in data analysis.
Experience in AI provides involved in behavior analysis of users.
Appreciate of cloud platforms (AWS, GCP).

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Mindtree

Requirements:

Hands-on experience in data preprocessing
Strong statistical modeling skills
Familiarity with agile methodologies

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VMware India

Requirements:

The Data engineering is the main expertise while data pipelines come into play during the processes of transfer, collection, and data analysis.
Getting hold of experience working upon distributed computing frameworks.
People that were strong in problem identification and collective actions would be the ones more likely to survive and thrive.

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Salesforce India

Requirements:

Expert utilization of the Salesforce CRM tools, data integration of sales distribution covers broad areas through websites, email, online chats, and online advertisements.
6+ months as an intern with multitasking in this field.
Able to respond quickly to consumer feedback to drive continuous product improvement and optimization.
Well-versed with quantitative sales and marketing analysis.

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Adobe India

Requirements:

the data visualization specialty (in Adobe Analytics) is expected to be given as well.
In digital marketing process, the analytics experience.
Analytical and Storytelling skills which are sound and strong.

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QuEST Global

Requirements:

Data analytics mastership in the field of industry
Work in a team to capture and predict data values for cloud computing.
Providing direct managing and engaging effectively with clients in order to meet their needs is important.

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Mphasis

Requirements:

8+ years experience of data science, multi-algorithmic modeling, probability, statistics as well as optimization.
The ability to extract useful information and machine learning are the main pillars of Big Data.
Experience in financial analytics
There is an expectation of the ability to develop expertise on the management of risks.

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Job Portals

Here some job portals that help in you find the data scientist jobs in Chennai are :

Salary of Data Scientists

Average Salary:

The average salary of data scientist in Chennai, India is ranges from INR 8,00,000 to INR 15,00,000 per annum depending on factors such as experience, skills, and the hiring company.

Experience Wise Salary Trend:

Less than 1 year: INR 8,00,000

1-3 Years: INR 9,50,000

4-6 Years: INR 12,00,000

7-9 Years: INR 14,00,000

10+ Years: INR 15,00,000