What Jobs are available for Data Science in Tamil Nadu?
Showing 106 Data Science jobs in Tamil Nadu
Data Science
Chennai, Tamil Nadu
Colan Infotech Private Limited
Posted 27 days ago
Job Viewed
Job Description
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
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0
Data Science
Chennai, Tamil Nadu
Colan Infotech Private Limited
Posted 27 days ago
Job Viewed
Job Description
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
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1
Data Science - AIML
Chennai, Tamil Nadu
Cognizant
Posted today
Job Viewed
Job Description
**Role : Data Scientist AIML/Gen AI**
**Experience : 4.6+ to 13 Years**
**Relevant Experience : 2+ Years**
**Location : Pan India**
**Notice Period : Immediate to 60 days**
**Mode of Interview - In-Person (Pune - 8th Nov 2025)**
**Job Description:**
1. Be a hands on problem solver with consultative approach, who can apply Machine Learning & Deep Learning algorithms to solve business challenges
+ Use the knowledge of wide variety of AI/ML techniques and algorithms to find what combinations of these techniques can best solve the problem
+ Improve Model accuracy to deliver greater business impact
+ Estimate business impact due to deployment of model
2. Work with the domain/customer teams to understand business context , data dictionaries and apply relevant Deep Learning solution for the given business challenge
3. Working with tools and scripts for sufficiently pre-processing the data & feature engineering for model development Python / R / SQL / Cloud data pipelines
4. Design , develop & deploy Deep learning models using Tensorflow / Pytorch
5. Experience in using Deep learning models with text, speech, image and video data
+ Design & Develop NLP models for Text Classification, Custom Entity Recognition, Relationship extraction, Text Summarization, Topic Modeling, Reasoning over Knowledge Graphs, Semantic Search using NLP tools like Spacy and opensource Tensorflow, Pytorch, etc
+ Design and develop Image recognition & video analysis models using Deep learning algorithms and open source tools like OpenCV
+ Knowledge of State of the art Deep learning algorithms
6. Optimize and tune Deep Learnings model for best possible accuracy
7. Use visualization tools/modules to be able to explore and analyze
outcomes & for Model validation eg: using Power BI / Tableau
8. Work with application teams, in deploying models on cloud as a service or on-prem
+ Deployment of models in Test / Control framework for tracking
+ Build CI/CD pipelines for ML model deployment
9. Integrating AI&ML models with other applications using REST APIs and other connector technologies
10. Constantly upskill and update with the latest techniques and best practices. Write white papers and create demonstrable assets to summarize the AIML work and its impact.
+ Technology/Subject Matter Expertise
+ Sufficient expertise in machine learning, mathematical and statistical sciences
+ Use of versioning & Collaborative tools like Git / Github
+ Good understanding of landscape of AI solutions cloud, GPU based compute, data security and privacy, API gateways, microservices based architecture, big data ingestion, storage and processing, CUDA Programming
+ Develop prototype level ideas into a solution that can scale to industrial grade strength
+ Ability to quantify & estimate the impact of ML models
**Softskills Profile**
+ Curiosity to think in fresh and unique ways with the intent of breaking new ground.
+ Must have the ability to share, explain and sell their thoughts, processes, ideas and opinions, even outside their own span of control
+ Ability to think ahead, and anticipate the needs for solving the problem will be important
+ Ability to communicate key messages effectively, and articulate strong opinions in large forums
**Desirable Experience:**
+ Keen contributor to open source communities, and communities like Kaggle
+ Ability to process Huge amount of Data using Pyspark/Hadoop
+ Development & Application of Reinforcement Learning
+ Knowledge of Optimization/Genetic Algorithms
+ Operationalizing Deep learning model for a customer and understanding nuances of scaling such models in real scenarios
+ Optimize and tune deep learning model for best possible accuracy
+ Understanding of stream data processing, RPA, edge computing, AR/VR etc
+ Appreciation of digital ethics, data privacy will be important
+ Experience of working with AI & Cognitive services platforms like Azure ML, IBM Watson, AWS Sagemaker, Google Cloud will all be a big plus
+ Experience in platforms like Data robot, Cognitive scale, H2O.AI etc will all be a big plus
Cognizant is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law.
**Experience : 4.6+ to 13 Years**
**Relevant Experience : 2+ Years**
**Location : Pan India**
**Notice Period : Immediate to 60 days**
**Mode of Interview - In-Person (Pune - 8th Nov 2025)**
**Job Description:**
1. Be a hands on problem solver with consultative approach, who can apply Machine Learning & Deep Learning algorithms to solve business challenges
+ Use the knowledge of wide variety of AI/ML techniques and algorithms to find what combinations of these techniques can best solve the problem
+ Improve Model accuracy to deliver greater business impact
+ Estimate business impact due to deployment of model
2. Work with the domain/customer teams to understand business context , data dictionaries and apply relevant Deep Learning solution for the given business challenge
3. Working with tools and scripts for sufficiently pre-processing the data & feature engineering for model development Python / R / SQL / Cloud data pipelines
4. Design , develop & deploy Deep learning models using Tensorflow / Pytorch
5. Experience in using Deep learning models with text, speech, image and video data
+ Design & Develop NLP models for Text Classification, Custom Entity Recognition, Relationship extraction, Text Summarization, Topic Modeling, Reasoning over Knowledge Graphs, Semantic Search using NLP tools like Spacy and opensource Tensorflow, Pytorch, etc
+ Design and develop Image recognition & video analysis models using Deep learning algorithms and open source tools like OpenCV
+ Knowledge of State of the art Deep learning algorithms
6. Optimize and tune Deep Learnings model for best possible accuracy
7. Use visualization tools/modules to be able to explore and analyze
outcomes & for Model validation eg: using Power BI / Tableau
8. Work with application teams, in deploying models on cloud as a service or on-prem
+ Deployment of models in Test / Control framework for tracking
+ Build CI/CD pipelines for ML model deployment
9. Integrating AI&ML models with other applications using REST APIs and other connector technologies
10. Constantly upskill and update with the latest techniques and best practices. Write white papers and create demonstrable assets to summarize the AIML work and its impact.
+ Technology/Subject Matter Expertise
+ Sufficient expertise in machine learning, mathematical and statistical sciences
+ Use of versioning & Collaborative tools like Git / Github
+ Good understanding of landscape of AI solutions cloud, GPU based compute, data security and privacy, API gateways, microservices based architecture, big data ingestion, storage and processing, CUDA Programming
+ Develop prototype level ideas into a solution that can scale to industrial grade strength
+ Ability to quantify & estimate the impact of ML models
**Softskills Profile**
+ Curiosity to think in fresh and unique ways with the intent of breaking new ground.
+ Must have the ability to share, explain and sell their thoughts, processes, ideas and opinions, even outside their own span of control
+ Ability to think ahead, and anticipate the needs for solving the problem will be important
+ Ability to communicate key messages effectively, and articulate strong opinions in large forums
**Desirable Experience:**
+ Keen contributor to open source communities, and communities like Kaggle
+ Ability to process Huge amount of Data using Pyspark/Hadoop
+ Development & Application of Reinforcement Learning
+ Knowledge of Optimization/Genetic Algorithms
+ Operationalizing Deep learning model for a customer and understanding nuances of scaling such models in real scenarios
+ Optimize and tune deep learning model for best possible accuracy
+ Understanding of stream data processing, RPA, edge computing, AR/VR etc
+ Appreciation of digital ethics, data privacy will be important
+ Experience of working with AI & Cognitive services platforms like Azure ML, IBM Watson, AWS Sagemaker, Google Cloud will all be a big plus
+ Experience in platforms like Data robot, Cognitive scale, H2O.AI etc will all be a big plus
Cognizant is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law.
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2
Director Data Science
Chennai, Tamil Nadu
Crayon Data
Posted 7 days ago
Job Viewed
Job Description
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.
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3
Data Science Intern
641001 Coimbatore, Tamil Nadu
₹15000 Monthly
WhatJobs Direct
Posted today
Job Viewed
Job Description
Our client, a leading analytics firm based in Coimbatore, Tamil Nadu, IN , is offering a challenging and rewarding Data Science Internship opportunity for aspiring professionals. This hybrid role provides hands-on experience in a dynamic data-driven environment, allowing interns to contribute to real-world projects under the guidance of experienced data scientists. You will be involved in the entire data science lifecycle, from data collection and cleaning to model development and evaluation. Specific projects may include building predictive models, performing statistical analysis, developing data visualizations, and contributing to machine learning initiatives. You will gain exposure to various tools and technologies used in the industry, such as Python, R, SQL, and machine learning libraries (e.g., Scikit-learn, TensorFlow). The internship is designed to provide a comprehensive understanding of how data science principles are applied to solve complex business problems. Key responsibilities include assisting senior data scientists in data wrangling, feature engineering, and exploratory data analysis. You will help in the implementation and testing of machine learning algorithms and assist in creating reports and presentations to communicate findings. Participating in team meetings, contributing to discussions, and actively seeking feedback for continuous learning are expected. This internship is ideal for individuals with a strong quantitative background and a keen interest in pursuing a career in data science. While some presence in the Coimbatore, Tamil Nadu, IN office will be required for collaborative sessions and team activities, the role also offers flexibility for remote work. We are looking for motivated individuals who are eager to learn, possess strong analytical skills, and are passionate about uncovering insights from data.
Responsibilities:
Responsibilities:
- Assist in data collection, cleaning, and preprocessing from various sources.
- Perform exploratory data analysis (EDA) to identify trends and patterns.
- Support the development and implementation of machine learning models.
- Create data visualizations to communicate findings effectively.
- Collaborate with senior data scientists on ongoing projects.
- Document methodologies and results clearly.
- Participate in team meetings and contribute to problem-solving discussions.
- Learn and apply new data science techniques and tools.
- Currently pursuing a Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, Engineering, or a related quantitative field.
- Solid understanding of statistical concepts and machine learning algorithms.
- Proficiency in Python or R, including relevant data science libraries (e.g., Pandas, NumPy, Scikit-learn).
- Familiarity with SQL for data querying.
- Strong analytical and problem-solving skills.
- Excellent communication and teamwork abilities.
- Eagerness to learn and a proactive attitude.
- Prior exposure to data visualization tools is a plus.
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4
Manager - Data Science
600031 Chennai, Tamil Nadu
Kavi Software Technologies Private Limited
Posted 209 days ago
Job Viewed
Job Description
Manager Data Science At KAVI INDIA, we rely on insightful data to power our systems and solutions. We’re seeking experienced data scientist to deliver insights daily. The ideal candidate will have mathematical and statistical expertise, along with natural curiosity and a creative mind. While mining, interpreting, and cleaning our data, this person will be relied on to ask questions, connect the dots, and uncover hidden opportunities for realizing the data’s full potential. As part of a team of specialists, the data scientist will “slice and dice” data using various methods and create new visions for the future. Objectives of this role • Collaborate with product design and engineering teams to develop an understanding of needs • Research and devise innovative statistical models for data analysis • Communicate findings to all stakeholders • Enable smarter business processes by using analytics for meaningful insights • Keep current with technical and industry developments Responsibilities • Lead a team of data scientists to develop strategies for our products that serve global clientele. • Drive analytics projects end-to-end in partnership with Product, Engineering, and cross-functional teams to inform, influence, support, and execute product strategy. • Influence product direction through clear and compelling presentations to leadership. • Work with large and complex data sets to solve a wide array of challenging problems using different analytical and statistical approaches. • Contribute towards advancing the Data Science discipline at Kavi, including but not limited to driving data best practices. • improving analytical processes, scaling knowledge and tools, and mentoring other data scientists. • Execute analytical experiments to help solve problems across various domains and industries. • Identify relevant data sources and sets to mine for client business needs and collect large structured and unstructured datasets and variables. • Devise and utilize algorithms and models to mine big-data stores; perform data and error analysis to improve models; clean and validate data for uniformity and accuracy Required skills and qualifications. • 12 or more years of experience in data science with higher pedigree • Proficiency with data mining, mathematics, and statistical analysis • Advanced experience in pattern recognition and predictive modelling • Experience with Excel, PowerPoint, Tableau, SQL, and programming languages (ex: Java/Python, SAS) • Ability to work effectively in a dynamic, research-oriented group that has several concurrent projects Preferred skills and qualifications • Masters degree (or equivalent) in statistics, applied mathematics, or related discipline • 8 or more years of project management experience.Requirements
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5
Sr Manager-Data Science
Chennai, Tamil Nadu
Cognizant
Posted today
Job Viewed
Job Description
**Job Summary**
The Sr Manager-Data Science will play a pivotal role in driving data-driven decision-making processes within the organization. With a focus on the Payer domain the candidate will leverage their extensive experience in Data Science to enhance business strategies and outcomes. This hybrid role requires a seasoned professional with a deep understanding of data analytics machine learning and statistical modeling to lead and innovate in a dynamic environment.
**Responsibilities**
+ Lead the data science team to develop innovative solutions that enhance business strategies in the Payer domain.
+ Oversee the design and implementation of data models and algorithms to solve complex business problems.
+ Provide strategic insights by analyzing large datasets and identifying trends and patterns.
+ Collaborate with cross-functional teams to integrate data science solutions into business processes.
+ Ensure the accuracy and reliability of data-driven insights by maintaining high standards of data quality.
+ Drive the adoption of advanced analytics and machine learning techniques across the organization.
+ Develop and maintain dashboards and reports to communicate findings to stakeholders.
+ Mentor and guide junior data scientists to foster a culture of continuous learning and improvement.
+ Evaluate and implement new data science tools and technologies to enhance team capabilities.
+ Work closely with IT and data engineering teams to ensure seamless data integration and accessibility.
+ Monitor industry trends and advancements in data science to keep the organization at the forefront of innovation.
+ Establish best practices for data governance and security to protect sensitive information.
+ Contribute to the companys purpose by using data science to improve healthcare outcomes and efficiencies.
**Qualifications**
+ Possess a strong background in data science with a minimum of 16 years of experience in the field.
+ Demonstrate expertise in the Payer domain with a deep understanding of industry-specific challenges and opportunities.
+ Exhibit proficiency in machine learning statistical modeling and data analytics.
+ Have experience in leading and managing data science teams in a hybrid work model.
+ Show capability in collaborating with cross-functional teams to drive data-driven decision-making.
+ Display strong problem-solving skills and the ability to translate complex data into actionable insights.
Cognizant is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law.
The Sr Manager-Data Science will play a pivotal role in driving data-driven decision-making processes within the organization. With a focus on the Payer domain the candidate will leverage their extensive experience in Data Science to enhance business strategies and outcomes. This hybrid role requires a seasoned professional with a deep understanding of data analytics machine learning and statistical modeling to lead and innovate in a dynamic environment.
**Responsibilities**
+ Lead the data science team to develop innovative solutions that enhance business strategies in the Payer domain.
+ Oversee the design and implementation of data models and algorithms to solve complex business problems.
+ Provide strategic insights by analyzing large datasets and identifying trends and patterns.
+ Collaborate with cross-functional teams to integrate data science solutions into business processes.
+ Ensure the accuracy and reliability of data-driven insights by maintaining high standards of data quality.
+ Drive the adoption of advanced analytics and machine learning techniques across the organization.
+ Develop and maintain dashboards and reports to communicate findings to stakeholders.
+ Mentor and guide junior data scientists to foster a culture of continuous learning and improvement.
+ Evaluate and implement new data science tools and technologies to enhance team capabilities.
+ Work closely with IT and data engineering teams to ensure seamless data integration and accessibility.
+ Monitor industry trends and advancements in data science to keep the organization at the forefront of innovation.
+ Establish best practices for data governance and security to protect sensitive information.
+ Contribute to the companys purpose by using data science to improve healthcare outcomes and efficiencies.
**Qualifications**
+ Possess a strong background in data science with a minimum of 16 years of experience in the field.
+ Demonstrate expertise in the Payer domain with a deep understanding of industry-specific challenges and opportunities.
+ Exhibit proficiency in machine learning statistical modeling and data analytics.
+ Have experience in leading and managing data science teams in a hybrid work model.
+ Show capability in collaborating with cross-functional teams to drive data-driven decision-making.
+ Display strong problem-solving skills and the ability to translate complex data into actionable insights.
Cognizant is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law.
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6
Sr Manager-Data Science
Chennai, Tamil Nadu
Cognizant
Posted today
Job Viewed
Job Description
**Job Summary**
As a Sr Manager-Data Science you will lead a team of data scientists to drive data-driven decision-making across the organization. You will be responsible for developing and implementing advanced data models and algorithms to solve complex business problems. Your role will involve collaborating with cross-functional teams to ensure data solutions align with business objectives ultimately enhancing operational efficiency and driving innovation.
**Responsibilities**
+ Lead a team of data scientists to develop and implement data-driven solutions that address business challenges and opportunities.
+ Oversee the design and execution of advanced data models and algorithms to extract insights from large datasets.
+ Collaborate with cross-functional teams to ensure data solutions align with organizational goals and strategies.
+ Provide guidance and mentorship to team members fostering a culture of continuous learning and improvement.
+ Develop and maintain strong relationships with stakeholders to understand their data needs and deliver actionable insights.
+ Ensure the accuracy quality and integrity of data used for analysis and decision-making.
+ Drive innovation by exploring new data sources tools and techniques to enhance data science capabilities.
+ Monitor industry trends and advancements in data science to keep the team at the forefront of the field.
+ Communicate complex data findings and insights to non-technical stakeholders in a clear and concise manner.
+ Implement best practices for data management analysis and reporting to ensure consistency and reliability.
+ Manage project timelines and resources to deliver data solutions on time and within budget.
+ Evaluate and select appropriate data science tools and technologies to support the teams objectives.
+ Contribute to the development of data governance policies and procedures to ensure compliance with regulations. Qualifications
+ Possess a strong background in data science with at least 10 years of experience in the field.
+ Demonstrate expertise in advanced data modeling and algorithm development.
+ Have a proven track record of leading successful data science projects and teams.
+ Show proficiency in data visualization tools and techniques to effectively communicate insights.
+ Exhibit strong problem-solving skills and the ability to think critically and analytically.
+ Display excellent communication and interpersonal skills to collaborate with diverse teams.
+ Hold a degree in a relevant field such as Computer Science Statistics or Mathematics.
**Certifications Required**
Certified Data Scientist (CDS) Advanced Analytics Professional (AAP)
Cognizant is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law.
As a Sr Manager-Data Science you will lead a team of data scientists to drive data-driven decision-making across the organization. You will be responsible for developing and implementing advanced data models and algorithms to solve complex business problems. Your role will involve collaborating with cross-functional teams to ensure data solutions align with business objectives ultimately enhancing operational efficiency and driving innovation.
**Responsibilities**
+ Lead a team of data scientists to develop and implement data-driven solutions that address business challenges and opportunities.
+ Oversee the design and execution of advanced data models and algorithms to extract insights from large datasets.
+ Collaborate with cross-functional teams to ensure data solutions align with organizational goals and strategies.
+ Provide guidance and mentorship to team members fostering a culture of continuous learning and improvement.
+ Develop and maintain strong relationships with stakeholders to understand their data needs and deliver actionable insights.
+ Ensure the accuracy quality and integrity of data used for analysis and decision-making.
+ Drive innovation by exploring new data sources tools and techniques to enhance data science capabilities.
+ Monitor industry trends and advancements in data science to keep the team at the forefront of the field.
+ Communicate complex data findings and insights to non-technical stakeholders in a clear and concise manner.
+ Implement best practices for data management analysis and reporting to ensure consistency and reliability.
+ Manage project timelines and resources to deliver data solutions on time and within budget.
+ Evaluate and select appropriate data science tools and technologies to support the teams objectives.
+ Contribute to the development of data governance policies and procedures to ensure compliance with regulations. Qualifications
+ Possess a strong background in data science with at least 10 years of experience in the field.
+ Demonstrate expertise in advanced data modeling and algorithm development.
+ Have a proven track record of leading successful data science projects and teams.
+ Show proficiency in data visualization tools and techniques to effectively communicate insights.
+ Exhibit strong problem-solving skills and the ability to think critically and analytically.
+ Display excellent communication and interpersonal skills to collaborate with diverse teams.
+ Hold a degree in a relevant field such as Computer Science Statistics or Mathematics.
**Certifications Required**
Certified Data Scientist (CDS) Advanced Analytics Professional (AAP)
Cognizant is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law.
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7
Principal Engineer - Data Science
Tamil Nadu, Tamil Nadu
GE Vernova
Posted today
Job Viewed
Job Description
**Job Description Summary**
The Principal Engineer - Data science combine a high level of technical expertise with sound business acumen and a good understanding of engineering processes. Principal Engineers are part of a formal career path for technical personnel wanting to continue to develop and grow their technical competencies while having increasingly more impact on the business.
As recognized experts in specialized fields, they normally lead or support projects and initiatives with broad scope and high impact to the business. They are responsible for major and complex assignments with long-term business implications. This role contributes to the overall strategy and manages complex issues within functional area of expertise.
**Job Description**
**Main Responsibilities**
Technical Leadership
Support Consulting Engineers in business line technology strategy definition and Multi-Generational Product Plan (MGPP).
Chair Design reviews for individual components, sub-assemblies and key engineering deliverables at tendering and contract execution stages. Support Consulting Engineers in governance and trainings to reinforce proper execution of design review guidelines.
Identify, develop, evaluate, and introduce engineering solutions to create market winning proposals in anticipation of business product needs. Provide key technical direction to large projects during contract execution phase.
Provide technical consultation on product problems throughout the business including supplier and field support and perform technical rescues when needed.
Participate Patent Evaluation Board (PEB) to protect technology that gives the business a competitive advantage, as well as protecting the intellectual property rights of the company.
Represent the business externally at conferences or in professional working bodies (IEC, CIGRE etc) and maintain active relationship with relevant academic institutions to promote research projects and other academic cooperations.
Lead early research and proof-of-concepts for promising technology applications.
Provide ad-hoc technical guidance to the Engineering/Technology leadership team as required, e.g., joining customer negotiations or supplier audits.
Engineering/Technology Practices
Support Consulting Engineers to safeguard design qualities. Organize lessons-learnt in one's own domain and make sure they are well documented and communicated throughout the organization to prevent repeated mistakes.
Maintain an active role in product introduction, cost improvements, schedule adherence and problem resolution to meet business needs.
Provide technical consultation to cross-functional teams within the business to improve or resolve manufacturing, supply, or field issues.
Competency Governance
Develop technical competencies by establishing and delivering structured technical training schemes within one's own business lines.
Support Consulting Engineers in reviewing Engineering competency frameworks specific to one's own business line.
People Development
Actively support Consulting Engineers with staff development & succession planning.
Participate interviews for promotions or hirings within Engineering/Technology up to the level of Senior Engineer.
Actively mentor and coach identified high potential Engineering talents within one's business lines.
**Additional Information**
Qualifications & Requirements
Master of Science in Computer Science, Machine Learning, Engineering, or Mathematics.
At least 10 years of experience in an engineering or data science capacity
Desired Characteristics
+ Experience with state-of-the-art machine learning technologies & techniques in at least one of those domains: Natural Language Processing, Time Series, Computer Vision
+ Ability to work across organizations in a matrix environment
+ Preferably having taken a Senior Engineer or Senior Researcher role
+ Strong oral and written communication skills
+ Strong interpersonal and leadership skills
+ Problem analysis and resolution skills
+ Able to pursue Engineering integrity in adverse conditions
+ Able to interface effectively with most levels of the organization
+ Lean experience preferred
**Additional Information**
**Relocation Assistance Provided:** No
#LI-Remote - This is a remote position
GE Vernova is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law.
The Principal Engineer - Data science combine a high level of technical expertise with sound business acumen and a good understanding of engineering processes. Principal Engineers are part of a formal career path for technical personnel wanting to continue to develop and grow their technical competencies while having increasingly more impact on the business.
As recognized experts in specialized fields, they normally lead or support projects and initiatives with broad scope and high impact to the business. They are responsible for major and complex assignments with long-term business implications. This role contributes to the overall strategy and manages complex issues within functional area of expertise.
**Job Description**
**Main Responsibilities**
Technical Leadership
Support Consulting Engineers in business line technology strategy definition and Multi-Generational Product Plan (MGPP).
Chair Design reviews for individual components, sub-assemblies and key engineering deliverables at tendering and contract execution stages. Support Consulting Engineers in governance and trainings to reinforce proper execution of design review guidelines.
Identify, develop, evaluate, and introduce engineering solutions to create market winning proposals in anticipation of business product needs. Provide key technical direction to large projects during contract execution phase.
Provide technical consultation on product problems throughout the business including supplier and field support and perform technical rescues when needed.
Participate Patent Evaluation Board (PEB) to protect technology that gives the business a competitive advantage, as well as protecting the intellectual property rights of the company.
Represent the business externally at conferences or in professional working bodies (IEC, CIGRE etc) and maintain active relationship with relevant academic institutions to promote research projects and other academic cooperations.
Lead early research and proof-of-concepts for promising technology applications.
Provide ad-hoc technical guidance to the Engineering/Technology leadership team as required, e.g., joining customer negotiations or supplier audits.
Engineering/Technology Practices
Support Consulting Engineers to safeguard design qualities. Organize lessons-learnt in one's own domain and make sure they are well documented and communicated throughout the organization to prevent repeated mistakes.
Maintain an active role in product introduction, cost improvements, schedule adherence and problem resolution to meet business needs.
Provide technical consultation to cross-functional teams within the business to improve or resolve manufacturing, supply, or field issues.
Competency Governance
Develop technical competencies by establishing and delivering structured technical training schemes within one's own business lines.
Support Consulting Engineers in reviewing Engineering competency frameworks specific to one's own business line.
People Development
Actively support Consulting Engineers with staff development & succession planning.
Participate interviews for promotions or hirings within Engineering/Technology up to the level of Senior Engineer.
Actively mentor and coach identified high potential Engineering talents within one's business lines.
**Additional Information**
Qualifications & Requirements
Master of Science in Computer Science, Machine Learning, Engineering, or Mathematics.
At least 10 years of experience in an engineering or data science capacity
Desired Characteristics
+ Experience with state-of-the-art machine learning technologies & techniques in at least one of those domains: Natural Language Processing, Time Series, Computer Vision
+ Ability to work across organizations in a matrix environment
+ Preferably having taken a Senior Engineer or Senior Researcher role
+ Strong oral and written communication skills
+ Strong interpersonal and leadership skills
+ Problem analysis and resolution skills
+ Able to pursue Engineering integrity in adverse conditions
+ Able to interface effectively with most levels of the organization
+ Lean experience preferred
**Additional Information**
**Relocation Assistance Provided:** No
#LI-Remote - This is a remote position
GE Vernova is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law.
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Senior Analyst - Data Science
Chennai, Tamil Nadu
Infosys Finacle
Posted 5 days ago
Job Viewed
Job Description
Job Description:
Data Scientist AI / RPA
- Hands on experience in applying statistical methods, ML algorithms to large data sets for deriving insights/predictions using python/R packages.
- Looking for an expert on using data science related packages like sk learn and data manipulation packages like pandas, dask.
- Experience in modeling techniques like classifications, regression time series analysis, deep learning, text mining and NLP.
- Experience in analyzing the problem statements and coming up with different solutions by creating POC.
- Must have experience in collecting relevant data as per the problem statement and cleansing the data.
- Basic knowledge of writing sql queries.
- Must have knowledge on big data concepts like Hadoop and hive.
- One should have experience ML programming and analytical skills.
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