About the role
Cognizant (NASDAQ: CTSH) is a leading provider of information technology, consulting, and business process outsourcing services, dedicated to helping the world's leading companies build stronger businesses. Headquartered in Teaneck, New Jersey (U.S.). Cognizant is a member of the NASDAQ-100, the S&P 500, the Forbes Global 1000, and the Fortune 500 and we are among the top performing and fastest growing companies in the world.
AI Tech Lead
Key Responsibilities
- Lead the full lifecycle of analytics projects—from data collection to solution delivery.
- Engage weekly with clients to discuss technical and functional aspects of the project.
- Collaborate with business experts and project managers to define daily tasks and priorities.
- Supervise the application of ML algorithms on client data and ensure data quality.
- Drive automation and industrialization of data processes.
- Provide feedback to the product team based on client usage.
- Coach and mentor junior team members.
- Maintain and support analytics solutions in business-as-usual scenarios.
Required Qualifications
- Bachelor’s or Master’s degree in STEM fields.
- 10+ years of experience in Data Science and Analytics.
- Strong passion for AI, ML, and Operations Research.
- Deep understanding of AI algorithms and their practical applications.
- Proven experience in delivering end-to-end data science solutions using Python.
- RGM/TPM background is required.
Technical Skills
Python Programming
- Libraries: pandas, numpy
- PLUS: matplotlib
- Programming Paradigms: object-oriented programming
- PLUS: functional programming
- Data Management: data wrangling (primary keys, grouping, filtering, joining)
- PLUS: remote storage (e.g., blob usage)
- Mathematics: solid foundation in machine learning basics
- Tools: VSCode (preferred for Azure integration), Jupyter Notebooks, Git (push, pull, fetch, merge)
Cloud & Data
- Experience with cloud services for data storage, pipeline automation, and ML deployment.
- Proficiency in SQL.
Soft Skills
- Excellent communication and collaboration abilities.
- Strong analytical thinking and problem-solving skills.
- Experience in team supervision and mentoring.
About Cognizant
Cognizant (Nasdaq-100: CTSH) engineers modern businesses. We help our clients modernize technology, reimagine processes and transform experiences so they can stay ahead in our fast-changing world. Together, we’re improving everyday life. See how at www.cognizant.com or @cognizant.
About the role
Cognizant (NASDAQ: CTSH) is a leading provider of information technology, consulting, and business process outsourcing services, dedicated to helping the world's leading companies build stronger businesses. Headquartered in Teaneck, New Jersey (U.S.). Cognizant is a member of the NASDAQ-100, the S&P 500, the Forbes Global 1000, and the Fortune 500 and we are among the top performing and fastest growing companies in the world.
AI Tech Lead
Key Responsibilities
- Lead the full lifecycle of analytics projects—from data collection to solution delivery.
- Engage weekly with clients to discuss technical and functional aspects of the project.
- Collaborate with business experts and project managers to define daily tasks and priorities.
- Supervise the application of ML algorithms on client data and ensure data quality.
- Drive automation and industrialization of data processes.
- Provide feedback to the product team based on client usage.
- Coach and mentor junior team members.
- Maintain and support analytics solutions in business-as-usual scenarios.
Required Qualifications
- Bachelor’s or Master’s degree in STEM fields.
- 10+ years of experience in Data Science and Analytics.
- Strong passion for AI, ML, and Operations Research.
- Deep understanding of AI algorithms and their practical applications.
- Proven experience in delivering end-to-end data science solutions using Python.
- RGM/TPM background is required.
Technical Skills
Python Programming
- Libraries: pandas, numpy
- PLUS: matplotlib
- Programming Paradigms: object-oriented programming
- PLUS: functional programming
- Data Management: data wrangling (primary keys, grouping, filtering, joining)
- PLUS: remote storage (e.g., blob usage)
- Mathematics: solid foundation in machine learning basics
- Tools: VSCode (preferred for Azure integration), Jupyter Notebooks, Git (push, pull, fetch, merge)
Cloud & Data
- Experience with cloud services for data storage, pipeline automation, and ML deployment.
- Proficiency in SQL.
Soft Skills
- Excellent communication and collaboration abilities.
- Strong analytical thinking and problem-solving skills.
- Experience in team supervision and mentoring.
About Cognizant
Cognizant (Nasdaq-100: CTSH) engineers modern businesses. We help our clients modernize technology, reimagine processes and transform experiences so they can stay ahead in our fast-changing world. Together, we’re improving everyday life. See how at www.cognizant.com or @cognizant.