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Cognizant logo

Manager-Data Science

Cognizant

Manager-Data Science

Cognizant logo

Cognizant

full-time

Posted: December 7, 2025

Number of Vacancies: 1

Job Description


Job Summary

The Manager-Data Science role is pivotal in driving data-driven decision-making within our organization. With a focus on leveraging Generative AI Machine Learning and Artificial Intelligence the candidate will lead projects that enhance operational efficiency and innovation. This hybrid position requires a deep understanding of Python and offers the opportunity to work in a dynamic environment contributing to the companys growth and impact on society.


Responsibilities

  • Lead the development and implementation of data science projects to support business objectives.
  • Oversee the application of Generative AI and Machine Learning techniques to solve complex problems.
  • Provide insights and recommendations based on data analysis to enhance decision-making processes.
  • Collaborate with cross-functional teams to integrate data science solutions into business operations.
  • Ensure the accuracy and reliability of data models and algorithms.
  • Develop and maintain Python scripts for data manipulation and analysis.
  • Monitor and evaluate the performance of data science initiatives to ensure alignment with company goals.
  • Drive innovation by exploring new technologies and methodologies in Artificial Intelligence.
  • Facilitate knowledge sharing and training sessions to promote data literacy across the organization.
  • Manage project timelines and deliverables to ensure timely completion of data science initiatives.
  • Communicate findings and insights to stakeholders in a clear and concise manner.
  • Support the development of data governance policies and best practices.
  • Foster a culture of continuous improvement and learning within the data science team.


Qualifications

  • Possess a strong background in Generative AI Machine Learning and Artificial Intelligence.
  • Demonstrate proficiency in Python for data analysis and model development.
  • Have experience in Investment Banking Operations or Investment Banking & Brokerage is a plus.
  • Exhibit excellent problem-solving skills and attention to detail.
  • Show ability to work collaboratively in a hybrid work model.
  • Display strong communication skills for effective stakeholder engagement.
  • Maintain a proactive approach to learning and adapting to new technologies.

The Cognizant community:
We are a high caliber team who appreciate and support one another. Our people uphold an energetic, collaborative and inclusive workplace where everyone can thrive.

  • Cognizant is a global community with more than 300,000 associates around the world.
  • We don’t just dream of a better way – we make it happen.
  • We take care of our people, clients, company, communities and climate by doing what’s right.
  • We foster an innovative environment where you can build the career path that’s right for you.

About us:
Cognizant is one of the world's leading professional services companies, transforming clients' business, operating, and technology models for the digital era. Our unique industry-based, consultative approach helps clients envision, build, and run more innovative and efficient businesses. Headquartered in the U.S., Cognizant (a member of the NASDAQ-100 and one of Forbes World’s Best Employers 2025) is consistently listed among the most admired companies in the world. Learn how Cognizant helps clients lead with digital at www.cognizant.com

Cognizant is an equal opportunity employer. Your application and candidacy will not be considered based on race, color, sex, religion, creed, sexual orientation, gender identity, national origin, disability, genetic information, pregnancy, veteran status or any other characteristic protected by federal, state or local laws.

If you have a disability that requires reasonable accommodation to search for a job opening or submit an application, please email CareersNA2@cognizant.com with your request and contact information.

Disclaimer:
Compensation information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law.

Applicants may be required to attend interviews in person or by video conference. In addition, candidates may be required to present their current state or government issued ID during each interview.

About the Role/Company

  • Cognizant is a global community with more than 300,000 associates around the world
  • We don’t just dream of a better way – we make it happen
  • We take care of our people, clients, company, communities and climate by doing what’s right
  • We foster an innovative environment where you can build the career path that’s right for you
  • Cognizant is one of the world's leading professional services companies, transforming clients' business, operating, and technology models for the digital era
  • Headquartered in the U.S., Cognizant is a member of the NASDAQ-100 and one of Forbes World’s Best Employers 2025
  • Cognizant is consistently listed among the most admired companies in the world
  • Cognizant helps clients lead with digital at www.cognizant.com
  • Cognizant is an equal opportunity employer
  • Applicants may be required to attend interviews in person or by video conference
  • Candidates may be required to present their current state or government issued ID during each interview

Key Responsibilities

  • Lead the development and implementation of data science projects to support business objectives
  • Oversee the application of Generative AI and Machine Learning techniques to solve complex problems
  • Provide insights and recommendations based on data analysis to enhance decision-making processes
  • Collaborate with cross-functional teams to integrate data science solutions into business operations
  • Ensure the accuracy and reliability of data models and algorithms
  • Develop and maintain Python scripts for data manipulation and analysis
  • Monitor and evaluate the performance of data science initiatives to ensure alignment with company goals
  • Drive innovation by exploring new technologies and methodologies in Artificial Intelligence
  • Facilitate knowledge sharing and training sessions to promote data literacy across the organization
  • Manage project timelines and deliverables to ensure timely completion of data science initiatives
  • Communicate findings and insights to stakeholders in a clear and concise manner
  • Support the development of data governance policies and best practices
  • Foster a culture of continuous improvement and learning within the data science team

Required Qualifications

  • Possess a strong background in Generative AI, Machine Learning, and Artificial Intelligence
  • Demonstrate proficiency in Python for data analysis and model development
  • Exhibit excellent problem-solving skills and attention to detail
  • Show ability to work collaboratively in a hybrid work model
  • Display strong communication skills for effective stakeholder engagement
  • Maintain a proactive approach to learning and adapting to new technologies

Preferred Qualifications

  • Have experience in Investment Banking Operations or Investment Banking & Brokerage

Skills Required

  • Generative AI
  • Machine Learning
  • Artificial Intelligence
  • Python
  • Problem-solving
  • Attention to detail
  • Collaboration
  • Communication
  • Proactive learning

Additional Requirements

  • Ability to work in a hybrid work model

Locations

  • India

Salary

Salary not disclosed

Estimated Salary Rangemedium confidence

800,000 - 1,500,000 INR / yearly

Source: ai estimated

* This is an estimated range based on market data and may vary based on experience and qualifications.

Skills Required

  • Generative AIintermediate
  • Machine Learningintermediate
  • Artificial Intelligenceintermediate
  • Pythonintermediate
  • Problem-solvingintermediate
  • Attention to detailintermediate
  • Collaborationintermediate
  • Communicationintermediate
  • Proactive learningintermediate

Required Qualifications

  • Possess a strong background in Generative AI, Machine Learning, and Artificial Intelligence (experience)
  • Demonstrate proficiency in Python for data analysis and model development (experience)
  • Exhibit excellent problem-solving skills and attention to detail (experience)
  • Show ability to work collaboratively in a hybrid work model (experience)
  • Display strong communication skills for effective stakeholder engagement (experience)
  • Maintain a proactive approach to learning and adapting to new technologies (experience)

Preferred Qualifications

  • Have experience in Investment Banking Operations or Investment Banking & Brokerage (experience)

Responsibilities

  • Lead the development and implementation of data science projects to support business objectives
  • Oversee the application of Generative AI and Machine Learning techniques to solve complex problems
  • Provide insights and recommendations based on data analysis to enhance decision-making processes
  • Collaborate with cross-functional teams to integrate data science solutions into business operations
  • Ensure the accuracy and reliability of data models and algorithms
  • Develop and maintain Python scripts for data manipulation and analysis
  • Monitor and evaluate the performance of data science initiatives to ensure alignment with company goals
  • Drive innovation by exploring new technologies and methodologies in Artificial Intelligence
  • Facilitate knowledge sharing and training sessions to promote data literacy across the organization
  • Manage project timelines and deliverables to ensure timely completion of data science initiatives
  • Communicate findings and insights to stakeholders in a clear and concise manner
  • Support the development of data governance policies and best practices
  • Foster a culture of continuous improvement and learning within the data science team

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Cognizant logo

Manager-Data Science

Cognizant

Manager-Data Science

Cognizant logo

Cognizant

full-time

Posted: December 7, 2025

Number of Vacancies: 1

Job Description


Job Summary

The Manager-Data Science role is pivotal in driving data-driven decision-making within our organization. With a focus on leveraging Generative AI Machine Learning and Artificial Intelligence the candidate will lead projects that enhance operational efficiency and innovation. This hybrid position requires a deep understanding of Python and offers the opportunity to work in a dynamic environment contributing to the companys growth and impact on society.


Responsibilities

  • Lead the development and implementation of data science projects to support business objectives.
  • Oversee the application of Generative AI and Machine Learning techniques to solve complex problems.
  • Provide insights and recommendations based on data analysis to enhance decision-making processes.
  • Collaborate with cross-functional teams to integrate data science solutions into business operations.
  • Ensure the accuracy and reliability of data models and algorithms.
  • Develop and maintain Python scripts for data manipulation and analysis.
  • Monitor and evaluate the performance of data science initiatives to ensure alignment with company goals.
  • Drive innovation by exploring new technologies and methodologies in Artificial Intelligence.
  • Facilitate knowledge sharing and training sessions to promote data literacy across the organization.
  • Manage project timelines and deliverables to ensure timely completion of data science initiatives.
  • Communicate findings and insights to stakeholders in a clear and concise manner.
  • Support the development of data governance policies and best practices.
  • Foster a culture of continuous improvement and learning within the data science team.


Qualifications

  • Possess a strong background in Generative AI Machine Learning and Artificial Intelligence.
  • Demonstrate proficiency in Python for data analysis and model development.
  • Have experience in Investment Banking Operations or Investment Banking & Brokerage is a plus.
  • Exhibit excellent problem-solving skills and attention to detail.
  • Show ability to work collaboratively in a hybrid work model.
  • Display strong communication skills for effective stakeholder engagement.
  • Maintain a proactive approach to learning and adapting to new technologies.

The Cognizant community:
We are a high caliber team who appreciate and support one another. Our people uphold an energetic, collaborative and inclusive workplace where everyone can thrive.

  • Cognizant is a global community with more than 300,000 associates around the world.
  • We don’t just dream of a better way – we make it happen.
  • We take care of our people, clients, company, communities and climate by doing what’s right.
  • We foster an innovative environment where you can build the career path that’s right for you.

About us:
Cognizant is one of the world's leading professional services companies, transforming clients' business, operating, and technology models for the digital era. Our unique industry-based, consultative approach helps clients envision, build, and run more innovative and efficient businesses. Headquartered in the U.S., Cognizant (a member of the NASDAQ-100 and one of Forbes World’s Best Employers 2025) is consistently listed among the most admired companies in the world. Learn how Cognizant helps clients lead with digital at www.cognizant.com

Cognizant is an equal opportunity employer. Your application and candidacy will not be considered based on race, color, sex, religion, creed, sexual orientation, gender identity, national origin, disability, genetic information, pregnancy, veteran status or any other characteristic protected by federal, state or local laws.

If you have a disability that requires reasonable accommodation to search for a job opening or submit an application, please email CareersNA2@cognizant.com with your request and contact information.

Disclaimer:
Compensation information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law.

Applicants may be required to attend interviews in person or by video conference. In addition, candidates may be required to present their current state or government issued ID during each interview.

About the Role/Company

  • Cognizant is a global community with more than 300,000 associates around the world
  • We don’t just dream of a better way – we make it happen
  • We take care of our people, clients, company, communities and climate by doing what’s right
  • We foster an innovative environment where you can build the career path that’s right for you
  • Cognizant is one of the world's leading professional services companies, transforming clients' business, operating, and technology models for the digital era
  • Headquartered in the U.S., Cognizant is a member of the NASDAQ-100 and one of Forbes World’s Best Employers 2025
  • Cognizant is consistently listed among the most admired companies in the world
  • Cognizant helps clients lead with digital at www.cognizant.com
  • Cognizant is an equal opportunity employer
  • Applicants may be required to attend interviews in person or by video conference
  • Candidates may be required to present their current state or government issued ID during each interview

Key Responsibilities

  • Lead the development and implementation of data science projects to support business objectives
  • Oversee the application of Generative AI and Machine Learning techniques to solve complex problems
  • Provide insights and recommendations based on data analysis to enhance decision-making processes
  • Collaborate with cross-functional teams to integrate data science solutions into business operations
  • Ensure the accuracy and reliability of data models and algorithms
  • Develop and maintain Python scripts for data manipulation and analysis
  • Monitor and evaluate the performance of data science initiatives to ensure alignment with company goals
  • Drive innovation by exploring new technologies and methodologies in Artificial Intelligence
  • Facilitate knowledge sharing and training sessions to promote data literacy across the organization
  • Manage project timelines and deliverables to ensure timely completion of data science initiatives
  • Communicate findings and insights to stakeholders in a clear and concise manner
  • Support the development of data governance policies and best practices
  • Foster a culture of continuous improvement and learning within the data science team

Required Qualifications

  • Possess a strong background in Generative AI, Machine Learning, and Artificial Intelligence
  • Demonstrate proficiency in Python for data analysis and model development
  • Exhibit excellent problem-solving skills and attention to detail
  • Show ability to work collaboratively in a hybrid work model
  • Display strong communication skills for effective stakeholder engagement
  • Maintain a proactive approach to learning and adapting to new technologies

Preferred Qualifications

  • Have experience in Investment Banking Operations or Investment Banking & Brokerage

Skills Required

  • Generative AI
  • Machine Learning
  • Artificial Intelligence
  • Python
  • Problem-solving
  • Attention to detail
  • Collaboration
  • Communication
  • Proactive learning

Additional Requirements

  • Ability to work in a hybrid work model

Locations

  • India

Salary

Salary not disclosed

Estimated Salary Rangemedium confidence

800,000 - 1,500,000 INR / yearly

Source: ai estimated

* This is an estimated range based on market data and may vary based on experience and qualifications.

Skills Required

  • Generative AIintermediate
  • Machine Learningintermediate
  • Artificial Intelligenceintermediate
  • Pythonintermediate
  • Problem-solvingintermediate
  • Attention to detailintermediate
  • Collaborationintermediate
  • Communicationintermediate
  • Proactive learningintermediate

Required Qualifications

  • Possess a strong background in Generative AI, Machine Learning, and Artificial Intelligence (experience)
  • Demonstrate proficiency in Python for data analysis and model development (experience)
  • Exhibit excellent problem-solving skills and attention to detail (experience)
  • Show ability to work collaboratively in a hybrid work model (experience)
  • Display strong communication skills for effective stakeholder engagement (experience)
  • Maintain a proactive approach to learning and adapting to new technologies (experience)

Preferred Qualifications

  • Have experience in Investment Banking Operations or Investment Banking & Brokerage (experience)

Responsibilities

  • Lead the development and implementation of data science projects to support business objectives
  • Oversee the application of Generative AI and Machine Learning techniques to solve complex problems
  • Provide insights and recommendations based on data analysis to enhance decision-making processes
  • Collaborate with cross-functional teams to integrate data science solutions into business operations
  • Ensure the accuracy and reliability of data models and algorithms
  • Develop and maintain Python scripts for data manipulation and analysis
  • Monitor and evaluate the performance of data science initiatives to ensure alignment with company goals
  • Drive innovation by exploring new technologies and methodologies in Artificial Intelligence
  • Facilitate knowledge sharing and training sessions to promote data literacy across the organization
  • Manage project timelines and deliverables to ensure timely completion of data science initiatives
  • Communicate findings and insights to stakeholders in a clear and concise manner
  • Support the development of data governance policies and best practices
  • Foster a culture of continuous improvement and learning within the data science team

Target Your Resume for "Manager-Data Science" , Cognizant

Get personalized recommendations to optimize your resume specifically for Manager-Data Science. Takes only 15 seconds!

AI-powered keyword optimization
Skills matching & gap analysis
Experience alignment suggestions

Check Your ATS Score for "Manager-Data Science" , Cognizant

Find out how well your resume matches this job's requirements. Get comprehensive analysis including ATS compatibility, keyword matching, skill gaps, and personalized recommendations.

ATS compatibility check
Keyword optimization analysis
Skill matching & gap identification
Format & readability score

Tags & Categories

TechnologyIT ServicesTechnologyConsulting

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