63 Data Analysis jobs in Chennai

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

Director Data Science – (AI/ML, GenAI & BFSI Focus)

From vision to enterprise impact — lead the future of AI innovation.

Location: Chennai, India

Experience: 13–15 years in Data Science/AI/ML (with strong BFSI or other data-rich industry expertise) We’re seeking trailblazers who go beyond building models — leaders who drive AI strategy, GenAI adoption, agentic automation, and enterprise-scale transformation with measurable business outcomes.

Role Overview

As a Principal Data Scientist, you will set the direction for AI/ML innovation, embedding Generative AI and Agentic AI systems into BFSI solutions that transform how enterprises operate. You’ll collaborate with executive stakeholders, mentor high-performing teams, and translate cutting-edge research into enterprise-ready AI platforms that deliver measurable ROI.

What makes you right for the role?

• Strategic AI & GenAI Leadership – Define and drive enterprise AI/ML roadmaps, including adoption of LLMs, multi-agent systems, and AI copilots aligned to business priorities.
• Agentic AI & Automation – Architect and deploy agentic workflows for decisioning, customer engagement, fraud detection, and operational intelligence.
• Advanced Modeling & GenAI Expertise – Lead development of scalable ML and GenAI solutions across fraud detection, customer intelligence, risk modeling, hyper-personalization, and intelligent document processing.
• Productization at Scale – Translate AI/GenAI research into robust, production-grade systems , ensuring security, compliance, and business value.
• Responsible AI & Governance – Partner with senior stakeholders to design responsible, explainable AI frameworks ensuring fairness, compliance, and trust.
• Thought Leadership – Represent Crayon in client workshops, industry forums, and innovation showcases, shaping the narrative of applied AI and Agentic in BFSI.
• Team & Innovation Leadership – Mentor senior data scientists, lead cross-functional teams, and champion best practices in MLOps, GenAIOps, and applied AI innovation.

The person you are

• Advanced degree (Master’s/PhD) in Machine Learning, AI, Computer Science, Applied Math, or Statistics.
• 11–13 years of proven experience applying ML/AI at scale, ideally in BFSI or similar data-rich, regulated industries.
• Deep expertise in Python, ML/GenAI frameworks (TensorFlow, PyTorch, Hugging Face, LangChain, LlamaIndex), and cloud platforms (AWS, Azure, GCP).
• Strong track record in AI strategy, GenAI adoption, and agentic automation with measurable ROI.
• A visionary mindset with passion for experimentation, innovation, and building next-gen AI ecosystems.
• Chennai-based, with flexibility to travel for client and global team collaborations.

Job Title: N8N Developer / Automation Engineer

Experience: 1–4 years (Immediate Joiners Preferred)

Location: (Your Location) / Remote

Job Summary:

We are looking for a skilled N8N Developer to design, develop, and maintain workflow automations and integrations across multiple systems. The ideal candidate should have strong experience with N8N , API integrations , and Node.js , and be able to create efficient automation solutions that improve operational efficiency.

Key Responsibilities:

• Design, develop, and deploy automated workflows using N8N .
• Integrate multiple systems and APIs (REST, GraphQL, etc.) to automate business processes.
• Build and maintain custom N8N nodes when required using Node.js and JavaScript .
• Monitor, troubleshoot, and optimize existing workflows for performance and reliability.
• Collaborate with cross-functional teams to identify automation opportunities.
• Implement error-handling, logging, and version control for workflows.
• Document workflows, processes, and integration logic for internal teams.

Required Skills & Experience:

• Hands-on experience with N8N workflow automation.
• Strong knowledge of Node.js , JavaScript , and RESTful APIs .
• Familiarity with webhooks , OAuth , and JSON data structures .
• Experience working with databases (MongoDB, MySQL, PostgreSQL, etc.).
• Understanding of cloud platforms (AWS, GCP, or similar) is a plus.
• Ability to debug and optimize API calls and workflow logic.
• Excellent problem-solving and analytical skills.

Preferred Skills (Good to Have):

• Experience with Zapier , Make (Integromat) , or other automation tools.
• Exposure to Docker and CI/CD pipelines .
• Basic understanding of DevOps and API security .
• Knowledge of Express.js or other backend frameworks.

Qualification:

• Bachelor’s degree in Computer Science, Information Technology, or a related field.

Please send me your resume on /

NLP Data Science Intern

Did you notice a shortage of food at supermarkets during covid? Have you heard about the recent issues in the global shipping industry? or perhaps you’ve heard about the shortages of microchips? These problems are called supply chain disruptions. They have been increasing in frequency and severity. Supply chain disruptions are threatening our very way of life.

Our vision is to advance society’s capacity to withstand shocks and stresses. Kavida.ai believes the only way to ensure security is through supply chain resiliency. We are on a mission to help companies proactively manage disruption supply chain disruption risks using integrated data.

Our Story

In March 2020 over 35 academics, data scientists, students, and software engineering volunteers came together to address the food shortage issues caused by the pandemic - Covid19foodsupply.com. A core team of 9 was formed and spun off into a startup and the rest is history.

Our investors include one of the world's largest supply chain quality & compliance monitoring companies, a £1.25bn apparel manufacturer, and some very impressive angel investors.

Social Impact:

Social impact is in our DNA. We believe private sector innovation is the only way to address social problems at scale. If we achieve our mission, humanity will always have access to its essential goods for sustenance. No more shortages of food, PPE, medicine, etc.

Our Culture :

Idea Meritocracy:

The best ideas win. We only care about what is right, not who is right. We know arriving at the best answer requires constructive tension. Sometimes it can get heated but it's never personal. Everyone contributes to better ideas knowing they will be heard but also challenged.

Drivers Not Passengers:

We think as owners who drive the bus, not as passengers. We are self-starters and never wait for instructions. We are hungry for autonomy, trust, and responsibility. Everyone is a leader because we know leadership is a trait, not a title. Leaders drive growth and navigate the chaos.

We Figure Out The Answers:

We trust our ability to figure stuff out. We do not need all the information to start answering the question. We can connect the dots and answer difficult questions with logic.

Customer & Mission Obsessed:

Our customers are our heroes and we are obsessed with helping them. We are obsessed with; understanding their supply chains better, resolving their biggest headaches, and advancing their competitiveness.

Learning and growth

We all take personal responsibility for becoming smarter, wiser, more skilled, happier. We are obsessed with learning about our industry and improving our own skills. We are obsessed with our personal growth; to become more.

Job Description:

As a member of our Research team, you will be responsible for researching, developing, and coding Agents using state-of-the-art LLM's with automated pipelines.

• Write code for the development of our ML engines and micro-services pipelines.
• use, optimize, train, and evaluate state-of-the-art GPT models.
• research and Develop Agentic pipelines using LLM's.
• research and develop RAG based pipeline using vector DB's .

Essential Requirements:

• prompt engineering and Agentic LLm frameworks like langchain/llama index
• good enough undersanding of vectors/tensors and RAG pipelines
• Knowledge of building NLP systems using transfer learning or building custom NLP systems from scratch using TensorFlow or PyTorch.
• In-depth knowledge of DSA, async, python, and containers.
• Knowledge of transformers and NLP techniques is essential, and deployment experience is a significant advantage.

Salary Range: ₹15000 - ₹25000

We are offering a full-time internship position to final-year students. The internship will last for an initial period of 6-12 months before converting to a full-time job, depending on suitability for both parties. If the applicant is a student who needs to return to university, they can continue with the program on a part-time basis.

NLP Data Science Intern

Did you notice a shortage of food at supermarkets during covid? Have you heard about the recent issues in the global shipping industry? or perhaps you've heard about the shortages of microchips? These problems are called supply chain disruptions. They have been increasing in frequency and severity. Supply chain disruptions are threatening our very way of life.

Our vision is to advance society's capacity to withstand shocks and stresses. Kavida.ai believes the only way to ensure security is through supply chain resiliency. We are on a mission to help companies proactively manage disruption supply chain disruption risks using integrated data.

Our Story

In March 2020 over 35 academics, data scientists, students, and software engineering volunteers came together to address the food shortage issues caused by the pandemic - A core team of 9 was formed and spun off into a startup and the rest is history.

Our investors include one of the world's largest supply chain quality & compliance monitoring companies, a £1.25bn apparel manufacturer, and some very impressive angel investors.

Social Impact:

Social impact is in our DNA. We believe private sector innovation is the only way to address social problems at scale. If we achieve our mission, humanity will always have access to its essential goods for sustenance. No more shortages of food, PPE, medicine, etc.

Our Culture :

Idea Meritocracy:

The best ideas win. We only care about what is right, not who is right. We know arriving at the best answer requires constructive tension. Sometimes it can get heated but it's never personal. Everyone contributes to better ideas knowing they will be heard but also challenged.

Drivers Not Passengers:

We think as owners who drive the bus, not as passengers. We are self-starters and never wait for instructions. We are hungry for autonomy, trust, and responsibility. Everyone is a leader because we know leadership is a trait, not a title. Leaders drive growth and navigate the chaos.

We Figure Out The Answers:

We trust our ability to figure stuff out. We do not need all the information to start answering the question. We can connect the dots and answer difficult questions with logic.

Customer & Mission Obsessed:

Our customers are our heroes and we are obsessed with helping them. We are obsessed with; understanding their supply chains better, resolving their biggest headaches, and advancing their competitiveness.

Learning and growth

We all take personal responsibility for becoming smarter, wiser, more skilled, happier. We are obsessed with learning about our industry and improving our own skills. We are obsessed with our personal growth; to become more.

Job Description:

As a member of our Research team, you will be responsible for researching, developing, and coding Agents using state-of-the-art LLM's with automated pipelines.

• Write code for the development of our ML engines and micro-services pipelines.
• use, optimize, train, and evaluate state-of-the-art GPT models.
• research and Develop Agentic pipelines using LLM's.
• research and develop RAG based pipeline using vector DB's .

Essential Requirements:

• prompt engineering and Agentic LLm frameworks like langchain/llama index
• good enough undersanding of vectors/tensors and RAG pipelines
• Knowledge of building NLP systems using transfer learning or building custom NLP systems from scratch using TensorFlow or PyTorch.
• In-depth knowledge of DSA, async, python, and containers.
• Knowledge of transformers and NLP techniques is essential, and deployment experience is a significant advantage.

Salary Range: 15000 - 25000

We are offering a full-time internship position to final-year students. The internship will last for an initial period of 6-12 months before converting to a full-time job, depending on suitability for both parties. If the applicant is a student who needs to return to university, they can continue with the program on a part-time basis.

Director Data Science – (AI/ML, GenAI & BFSI Focus)

From vision to enterprise impact — lead the future of AI innovation.

Location: Chennai, India

Experience: 13–15 years in Data Science/AI/ML (with strong BFSI or other data-rich industry expertise) We’re seeking trailblazers who go beyond building models — leaders who drive AI strategy, GenAI adoption, agentic automation, and enterprise-scale transformation with measurable business outcomes.

Role Overview

As a Principal Data Scientist, you will set the direction for AI/ML innovation, embedding Generative AI and Agentic AI systems into BFSI solutions that transform how enterprises operate. You’ll collaborate with executive stakeholders, mentor high-performing teams, and translate cutting-edge research into enterprise-ready AI platforms that deliver measurable ROI.

What makes you right for the role?

• Strategic AI & GenAI Leadership – Define and drive enterprise AI/ML roadmaps, including adoption of LLMs, multi-agent systems, and AI copilots aligned to business priorities.
• Agentic AI & Automation – Architect and deploy agentic workflows for decisioning, customer engagement, fraud detection, and operational intelligence.
• Advanced Modeling & GenAI Expertise – Lead development of scalable ML and GenAI solutions across fraud detection, customer intelligence, risk modeling, hyper-personalization, and intelligent document processing.
• Productization at Scale – Translate AI/GenAI research into robust, production-grade systems , ensuring security, compliance, and business value.
• Responsible AI & Governance – Partner with senior stakeholders to design responsible, explainable AI frameworks ensuring fairness, compliance, and trust.
• Thought Leadership – Represent Crayon in client workshops, industry forums, and innovation showcases, shaping the narrative of applied AI and Agentic in BFSI.
• Team & Innovation Leadership – Mentor senior data scientists, lead cross-functional teams, and champion best practices in MLOps, GenAIOps, and applied AI innovation.

The person you are

• Advanced degree (Master’s/PhD) in Machine Learning, AI, Computer Science, Applied Math, or Statistics.
• 11–13 years of proven experience applying ML/AI at scale, ideally in BFSI or similar data-rich, regulated industries.
• Deep expertise in Python, ML/GenAI frameworks (TensorFlow, PyTorch, Hugging Face, LangChain, LlamaIndex), and cloud platforms (AWS, Azure, GCP).
• Strong track record in AI strategy, GenAI adoption, and agentic automation with measurable ROI.
• A visionary mindset with passion for experimentation, innovation, and building next-gen AI ecosystems.
• Chennai-based, with flexibility to travel for client and global team collaborations.

Job Title: N8N Developer / Automation Engineer

Experience: 1–4 years (Immediate Joiners Preferred)

Location: (Your Location) / Remote

Job Summary:

We are looking for a skilled N8N Developer to design, develop, and maintain workflow automations and integrations across multiple systems. The ideal candidate should have strong experience with N8N , API integrations , and Node.js , and be able to create efficient automation solutions that improve operational efficiency.

Key Responsibilities:

• Design, develop, and deploy automated workflows using N8N .
• Integrate multiple systems and APIs (REST, GraphQL, etc.) to automate business processes.
• Build and maintain custom N8N nodes when required using Node.js and JavaScript .
• Monitor, troubleshoot, and optimize existing workflows for performance and reliability.
• Collaborate with cross-functional teams to identify automation opportunities.
• Implement error-handling, logging, and version control for workflows.
• Document workflows, processes, and integration logic for internal teams.

Required Skills & Experience:

• Hands-on experience with N8N workflow automation.
• Strong knowledge of Node.js , JavaScript , and RESTful APIs .
• Familiarity with webhooks , OAuth , and JSON data structures .
• Experience working with databases (MongoDB, MySQL, PostgreSQL, etc.).
• Understanding of cloud platforms (AWS, GCP, or similar) is a plus.
• Ability to debug and optimize API calls and workflow logic.
• Excellent problem-solving and analytical skills.

Preferred Skills (Good to Have):

• Experience with Zapier , Make (Integromat) , or other automation tools.
• Exposure to Docker and CI/CD pipelines .
• Basic understanding of DevOps and API security .
• Knowledge of Express.js or other backend frameworks.

Qualification:

• Bachelor’s degree in Computer Science, Information Technology, or a related field.

Please send me your resume on /

Director Data Science – (AI/ML, GenAI & BFSI Focus)

From vision to enterprise impact — lead the future of AI innovation.

Location: Chennai, India

Experience: 13–15 years in Data Science/AI/ML (with strong BFSI or other data-rich industry expertise) We’re seeking trailblazers who go beyond building models — leaders who drive AI strategy, GenAI adoption, agentic automation, and enterprise-scale transformation with measurable business outcomes.

Role Overview

As a Principal Data Scientist, you will set the direction for AI/ML innovation, embedding Generative AI and Agentic AI systems into BFSI solutions that transform how enterprises operate. You’ll collaborate with executive stakeholders, mentor high-performing teams, and translate cutting-edge research into enterprise-ready AI platforms that deliver measurable ROI.

What makes you right for the role?

• Strategic AI & GenAI Leadership – Define and drive enterprise AI/ML roadmaps, including adoption of LLMs, multi-agent systems, and AI copilots aligned to business priorities.
• Agentic AI & Automation – Architect and deploy agentic workflows for decisioning, customer engagement, fraud detection, and operational intelligence.
• Advanced Modeling & GenAI Expertise – Lead development of scalable ML and GenAI solutions across fraud detection, customer intelligence, risk modeling, hyper-personalization, and intelligent document processing.
• Productization at Scale – Translate AI/GenAI research into robust, production-grade systems , ensuring security, compliance, and business value.
• Responsible AI & Governance – Partner with senior stakeholders to design responsible, explainable AI frameworks ensuring fairness, compliance, and trust.
• Thought Leadership – Represent Crayon in client workshops, industry forums, and innovation showcases, shaping the narrative of applied AI and Agentic in BFSI.
• Team & Innovation Leadership – Mentor senior data scientists, lead cross-functional teams, and champion best practices in MLOps, GenAIOps, and applied AI innovation.

The person you are

• Advanced degree (Master’s/PhD) in Machine Learning, AI, Computer Science, Applied Math, or Statistics.
• 11–13 years of proven experience applying ML/AI at scale, ideally in BFSI or similar data-rich, regulated industries.
• Deep expertise in Python, ML/GenAI frameworks (TensorFlow, PyTorch, Hugging Face, LangChain, LlamaIndex), and cloud platforms (AWS, Azure, GCP).
• Strong track record in AI strategy, GenAI adoption, and agentic automation with measurable ROI.
• A visionary mindset with passion for experimentation, innovation, and building next-gen AI ecosystems.
• Chennai-based, with flexibility to travel for client and global team collaborations.