Cognizant (NASDAQ: CTSH) is a leading provider of information technology, consulting, and business process services, dedicated to helping the world's leading companies build stronger businesses. Headquartered in Teaneck, New Jersey (U.S.), Cognizant combines a passion for client satisfaction, technology innovation, deep industry and business process expertise, and a global, collaborative workforce that embodies the future of work. Cognizant is a member of the NASDAQ-100, the S&P 500, the Forbes Global 2000, and the Fortune 500 and is ranked among the top performing and fastest growing companies in the world.
Our Culture
Your passion, integrity and experience are integral to Cognizant's success. You will join a dynamic and expanding global leader in IT and Business consultancy where you will be valued for who you are. We take pride in our partnership with our clients, so your ability to add value and provide exceptional service to our clients is fundamental to your success. In return, you will be presented with opportunities to develop your career and collaborate with talented colleagues in a supportive, diverse environment.
At Cognizant we recognize that companies that are open and welcoming to a multi-culturally diverse workforce will thrive with fresh perspectives and collaborative knowledge. Cognizant focuses on promoting & increasing gender diversity and providing a workplace which encourages great participation and an equal playing field, where merit and accomplishment are the only criteria for success.
Job Summary:
We are looking for an experienced Data Scientist to develop and deploy advanced machine learning solutions that enhance customer experience, drive personalization, and generate actionable business insights. The ideal candidate will have a strong background in predictive modeling, customer analytics, experimentation, and AI/ML deployment, with the ability to translate complex data into impactful customer-focused solutions.
Roles & Responsibilities:
Design, develop, and deploy machine learning models to support customer segmentation, churn prediction, recommendation systems, propensity modeling, and personalization initiatives.
Build and maintain robust model evaluation, monitoring, and performance tracking frameworks to ensure sustained business impact.
Conduct A/B testing, statistical analysis, and experimentation to measure and improve customer experience outcomes.
Implement model governance best practices, including explainability, fairness assessment, bias detection, drift monitoring, and compliance requirements.
Collaborate with Data Engineers and ML Engineers to productionize and scale AI/ML solutions across enterprise platforms.
Perform end-to-end data science activities, including data exploration, feature engineering, model development, training, validation, and optimization.
Required Qualifications & Experience
6–10 yrs in Data Science / ML
Strong Python + ML frameworks (scikit-learn, TensorFlow, PyTorch)
Experience in retail/customer analytics preferred
Good understanding of GenAI / personalization use cases
Benefits:
Joining Cognizant will give you the opportunity to learn and collaborate with some of the most talented people in the industry, while having your finger on the pulse of emerging industry trends and working on the cutting edge of technology in your field of expertise.
We recognize that our people perform at their best when they feel valued as significant contributors and that is why at Cognizant, taking care of our employees is a priority:
- You can pursue innovative career tracks and opportunities here
- You can enhance your professional development through education and dedicated training
- We’ll give you the skills you need to keep pace with the changing workplace while our compensation, benefits and wellness packages help you stay healthy and plan for the future.
Next Steps:
Please reach out to our friendly and welcoming team today to apply and register your interest for this full-time role. We'd love to help you get your next role and enable you to fulfil your professional ambitions.
