804 Data Science jobs in Tamil Nadu

Greetings from Colan Infotech!

Role - Data Scientist

Experience - 6+ Years

Job Location - Chennai

Notice Period - Immediate to 30 Days

Primary Skills Needed   : AI/ML, Tensorflow, Django, Pytorch, NLP, Image processing,Gen AI,LLM

Secondary Skills Needed   : Keras, OpenCV, Azure or AWS

Job Description:-

• Practical knowledge and working experience on Statistics and Operation Research methods.
• Practical knowledge and working experience in tools and frameworks like Flask, PySpark, Pytorch, tensorflow, keras, Databricks, OpenCV, Pillow/PIL, streamlit, d3js, dashplotly, neo4j.
• Good understanding of how to apply predictive and machine learning techniques like regression models, XGBoost, random forest, GBM, Neural Nets, SVM etc.
• Proficient with NLP techniques like RNN, LSTM and Attention based models and effectively handle readily available stanford, IBM, Azure, Open AI NLP models.
• Good understanding of SQL from a perspective of how to write efficient queries for pulling the data from database.
• Hands on experience on any version control tool (github, bitbucket). Experience of deploying ML models into production environment experience (MLOps) in any one of the cloud platforms like Azure and AWS
• Comprehend business issues and propose valuable business solutions.
• Design Factual or AI/profound learning models to address business issues.
• Design Statistical Models/ML/DL models and deploy them for production.
• Formulate what information is accessible from where and how to augment it.
• Develop innovative graphs for data comprehension using d3js, dashplotly and neo4j

Greetings from Colan Infotech!

Role - Data Scientist

Experience - 6+ Years

Job Location - Chennai/Bangalore

Notice Period - Immediate to 30 Days

Primary Skills Needed   : AI/ML, Tensorflow, Django, Pytorch, NLP, Image processing,Gen AI,LLM

Secondary Skills Needed   : Keras, OpenCV, Azure or AWS

Job Description:-

• Practical knowledge and working experience on Statistics and Operation Research methods.
• Practical knowledge and working experience in tools and frameworks like Flask, PySpark, Pytorch, tensorflow, keras, Databricks, OpenCV, Pillow/PIL, streamlit, d3js, dashplotly, neo4j.
• Good understanding of how to apply predictive and machine learning techniques like regression models, XGBoost, random forest, GBM, Neural Nets, SVM etc.
• Proficient with NLP techniques like RNN, LSTM and Attention based models and effectively handle readily available stanford, IBM, Azure, Open AI NLP models.
• Good understanding of SQL from a perspective of how to write efficient queries for pulling the data from database.
• Hands on experience on any version control tool (github, bitbucket). Experience of deploying ML models into production environment experience (MLOps) in any one of the cloud platforms like Azure and AWS
• Comprehend business issues and propose valuable business solutions.
• Design Factual or AI/profound learning models to address business issues.
• Design Statistical Models/ML/DL models and deploy them for production.
• Formulate what information is accessible from where and how to augment it.
• Develop innovative graphs for data comprehension using d3js, dashplotly and neo4j

Interested candidates send updated resume to

Responsibilities:

● Conducting classroom and online lectures on programming languages (Data Science, Python,

Data Analytics) and related technologies to students

● Assigning and evaluating coursework, quizzes, and projects

● Providing one-on-one assistance and mentoring to students as required

● Ensuring that the course curriculum is up-to-date and relevant to industry standards

● Collaborating with other trainers and course developers to develop new training materials

● Maintaining accurate student records and progress reports

● Creating a positive and engaging learning environment for students

● Participating in faculty meetings, staff development programs, and other professional

development activities as required

● Staying up-to-date with the latest trends and developments and related technologies

Requirements:

● A Bachelor's or Master's degree in Computer Science or a related field

● A minimum of 1 years of experience as a trainer

● Excellent communication and interpersonal skills

● Strong knowledge of Python, Machine Learning, Data Science, Data Analytics, Deep

Learning, NLP and related technologies

● Experience working with databases such as PostgreSQL and MySQL

● A passion for teaching and helping students achieve their career goals

● Ability to work independently as well as in a team environment

About the Company

ZeTheta Algorithms Private Limited is a FinTech start-up which has been recently set up and is developing innovative AI tools.

About the Role

As a Data Scientist intern, you will work on cutting-edge projects involving financial data analysis, investment research, and risk modelling. You will have the opportunity to engage in multiple mini-projects or take up a focused innovation-based research project. The project experience is designed to provide practical exposure to data science in the context of asset management, trading, and financial technology. We provide problem statements, methodology and after you submit your solution to develop the solutions/ model, we also showcase to you sample solution. You can use our sample solution to modify your project submission and expand further based on suggestions given in our sample solution. You can opt for your own research based data science solution to develop/ model.

Responsibilities

• Conduct data cleaning, wrangling, and pre-processing for financial datasets.
• Assist investment teams in equity research, fixed income research, portfolio management, and economic analysis.
• Apply statistical techniques to financial problems such as credit risk modelling, probability of default, and value-at-risk estimation.
• Work with big data sources including financial reports, macroeconomic datasets, and alternative investment data.
• Use either one – Python, Excel or R to analyse, visualize, and model financial data.
• Participate in research projects related to quantitative trading, financial derivatives, and portfolio optimization.

Who Should Apply?

• Any student even without coding skills can upskill (self learning) to develop Data Science Solutions. Some basic knowledge of Excel or Python or R script can help complete the projects quicker. We permit the use of all LLMs/ NLPs to help students to develop the solutions.
• Strong problem-solving and analytical skills.
• Able to self-learn and work independently in a remote, flexible environment.

Internship Details

• Duration: Option of 1 month, 2 month, 3 month, 4 month or 6 months
• Timing: Self-paced.
• Type: Unpaid

Are you passionate about transforming data into actionable insights? Do you thrive in a fast-paced, innovative environment? We’re looking for a Data Science Analyst to join our team and help us drive data-informed decisions that shape the future of our business.

What You’ll Do

• Analyze complex datasets to uncover trends, patterns, and actionable insights.
• Develop predictive models and statistical analyses to support business strategies.
• Collaborate with cross-functional teams to understand data needs and deliver solutions.
• Build dashboards and visualizations to communicate findings effectively to stakeholders.
• Stay ahead of data trends and implement best practices in analytics and machine learning.

What We’re Looking For

• Bachelor's or Master’s degree in Data Science, Statistics, Computer Science, or a related field.
• Strong programming skills in Python, R, or SQL.
• Experience with data visualization tools (Tableau, Power BI, etc.).
• Solid understanding of machine learning algorithms and statistical methods.
• Excellent problem-solving and communication skills.
• A curious mindset with a passion for exploring data.

Why Join Us?

• Opportunity to work on exciting, high-impact projects.
• Collaborative and supportive work environment.
• Resources for professional development and growth.
• A chance to shape the future of data-driven decision-making.

About the Company

ZeTheta Algorithms Private Limited is a FinTech start-up which has been recently set up and is developing innovative AI tools.

About the Role

As a Data Scientist intern, you will work on cutting-edge projects involving financial data analysis, investment research, and risk modelling. You will have the opportunity to engage in multiple mini-projects or take up a focused innovation-based research project. The project experience is designed to provide practical exposure to data science in the context of asset management, trading, and financial technology. We provide problem statements, methodology and after you submit your solution to develop the solutions/ model, we also showcase to you sample solution. You can use our sample solution to modify your project submission and expand further based on suggestions given in our sample solution. You can opt for your own research based data science solution to develop/ model.

Responsibilities

• Conduct data cleaning, wrangling, and pre-processing for financial datasets.
• Assist investment teams in equity research, fixed income research, portfolio management, and economic analysis.
• Apply statistical techniques to financial problems such as credit risk modelling, probability of default, and value-at-risk estimation.
• Work with big data sources including financial reports, macroeconomic datasets, and alternative investment data.
• Use either one – Python, Excel or R to analyse, visualize, and model financial data.
• Participate in research projects related to quantitative trading, financial derivatives, and portfolio optimization.

Who Should Apply?

• Any student even without coding skills can upskill (self learning) to develop Data Science Solutions. Some basic knowledge of Excel or Python or R script can help complete the projects quicker. We permit the use of all LLMs/ NLPs to help students to develop the solutions.
• Strong problem-solving and analytical skills.
• Able to self-learn and work independently in a remote, flexible environment.

Internship Details

• Duration: Option of 1 month, 2 month, 3 month, 4 month or 6 months
• Timing: Self-paced.
• Type: Unpaid

Are you passionate about transforming data into actionable insights? Do you thrive in a fast-paced, innovative environment? We’re looking for a Data Science Analyst to join our team and help us drive data-informed decisions that shape the future of our business.

What You’ll Do

• Analyze complex datasets to uncover trends, patterns, and actionable insights.
• Develop predictive models and statistical analyses to support business strategies.
• Collaborate with cross-functional teams to understand data needs and deliver solutions.
• Build dashboards and visualizations to communicate findings effectively to stakeholders.
• Stay ahead of data trends and implement best practices in analytics and machine learning.

What We’re Looking For

• Bachelor's or Master’s degree in Data Science, Statistics, Computer Science, or a related field.
• Strong programming skills in Python, R, or SQL.
• Experience with data visualization tools (Tableau, Power BI, etc.).
• Solid understanding of machine learning algorithms and statistical methods.
• Excellent problem-solving and communication skills.
• A curious mindset with a passion for exploring data.

Why Join Us?

• Opportunity to work on exciting, high-impact projects.
• Collaborative and supportive work environment.
• Resources for professional development and growth.
• A chance to shape the future of data-driven decision-making.

Are you passionate about transforming data into actionable insights? Do you thrive in a fast-paced, innovative environment? We’re looking for a Data Science Analyst to join our team and help us drive data-informed decisions that shape the future of our business.

What You’ll Do

• Analyze complex datasets to uncover trends, patterns, and actionable insights.
• Develop predictive models and statistical analyses to support business strategies.
• Collaborate with cross-functional teams to understand data needs and deliver solutions.
• Build dashboards and visualizations to communicate findings effectively to stakeholders.
• Stay ahead of data trends and implement best practices in analytics and machine learning.

What We’re Looking For

• Bachelor's or Master’s degree in Data Science, Statistics, Computer Science, or a related field.
• Strong programming skills in Python, R, or SQL.
• Experience with data visualization tools (Tableau, Power BI, etc.).
• Solid understanding of machine learning algorithms and statistical methods.
• Excellent problem-solving and communication skills.
• A curious mindset with a passion for exploring data.

Why Join Us?

• Opportunity to work on exciting, high-impact projects.
• Collaborative and supportive work environment.
• Resources for professional development and growth.
• A chance to shape the future of data-driven decision-making.