Cognizant is hiring for a fresher entry level Data Scientist role in India

Position:
Data Scientist

Company:
Cognizant Technology Solutions

Location:
Hyderabad, India

Job Type:
Full-time

Job Mode:
Hybrid

Job Requisition ID:
00064526374

Years of Experience:
0–3 years

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Company Description

• Cognizant is a global professional services company recognized for its leadership in digital transformation, consulting, and technology solutions.

• The organization works with top enterprises to help them modernize business processes, adopt emerging technologies, and enhance customer experiences.

• With headquarters in the United States and a global workforce exceeding 300,000 professionals, Cognizant delivers solutions that combine innovation, analytics, and strategic insights.

• The company operates across diverse industries including healthcare, banking, technology, communications, and manufacturing.

• Cognizant promotes an inclusive and collaborative work environment, emphasizing employee well-being, continuous learning, and professional growth.

• Its purpose-driven culture ensures ethical business practices, environmental responsibility, and community engagement.

• As a member of the NASDAQ-100 and recognized on Forbes’ list of the World’s Best Employers 2024, Cognizant stands among the most admired companies globally.

• The organization continuously innovates through cloud, AI, and automation to redefine client operations and business success.

• Cognizant’s success is rooted in its values of integrity, customer focus, teamwork, and continuous improvement.

• The company’s long-term vision revolves around shaping a digital future that benefits clients, employees, and society at large.

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Profile Overview

• The Data Scientist position focuses on applying artificial intelligence, data analytics, and machine learning to solve complex challenges and optimize decision-making.

• The role involves developing intelligent systems that convert large data volumes into actionable insights for business functions.

• It requires collaboration with cross-functional teams to design, implement, and integrate AI models into production environments.

• The ideal candidate will work on cloud-based technologies, particularly Azure OpenAI and Cloud AutoML, to build scalable and automated solutions.

• The position emphasizes using exploratory data analysis and statistical modeling to identify opportunities for business improvement.

• Candidates will engage in developing and maintaining data pipelines, ensuring smooth data flow and consistency across systems.

• The role also extends into building natural language applications, chatbots, and computer vision tools using modern frameworks like TensorFlow and PyTorch.

• Exposure to MLOps practices will be key, with an emphasis on automating workflows for model training, deployment, and monitoring.

• The Data Scientist will contribute to projects across domains such as wealth management, payments, and digital asset management.

• This hybrid position offers day-shift flexibility and is suited for professionals eager to grow within a global, innovation-driven organization.

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Responsibilities

• Design, train, and validate machine learning models to address a variety of analytical and operational problems.

• Conduct advanced statistical modeling to extract meaningful insights from structured and unstructured datasets.

• Collaborate with internal teams such as engineering, product, and business strategy to embed AI-driven solutions in live systems.

• Utilize Azure OpenAI Service and Cloud AutoML to simplify model development and ensure scalability in production.

• Perform exploratory data analysis (EDA) to understand underlying data patterns and uncover actionable business trends.

• Develop automated data pipelines using Airflow to maintain seamless data ingestion, transformation, and management.

• Integrate knowledge graph methodologies to strengthen data relationships and enable more intelligent retrieval processes.

• Apply MLOps concepts to build robust pipelines for model deployment, monitoring, and version control.

• Work with OpenCV, TensorFlow, and PyTorch frameworks for developing computer vision applications.

• Develop conversational chatbots leveraging Dialogflow and natural language processing techniques to enhance customer experience.

• Use Python and R for data manipulation, visualization, and advanced statistical computations.

• Partner with data engineers to improve query performance and ensure system scalability.

• Employ data-driven approaches to strengthen search engine optimization (SEO) efforts and increase discoverability.

• Support initiatives in asset and wealth management by providing analytical insights for better investment decisions.

• Stay updated with the latest advancements in AI, machine learning, and data science to enhance project quality.

• Present analytical findings in a clear and actionable format for stakeholders and business leaders.

• Participate in internal discussions to design AI solutions that align with Cognizant’s strategic goals.

• Ensure adherence to company data security standards and privacy guidelines while handling client datasets.

• Contribute to innovation sessions and share best practices with peers to strengthen Cognizant’s data science community.

• Promote collaboration, inclusivity, and ethical AI practices in all project implementations.

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Qualifications

• Strong foundation in mathematics, statistics, and data science concepts.

• Practical experience in designing and implementing machine learning algorithms.

• Proficiency in using cloud services such as Azure OpenAI Service and Cloud AutoML for model deployment and management.

• Advanced knowledge of programming languages including Python and R for data analysis and predictive modeling.

• Experience working with data visualization and EDA tools to generate data-driven insights.

• Familiarity with frameworks like TensorFlow, PyTorch, and OpenCV for deep learning and computer vision tasks.

• Understanding of MLOps workflows, including automation, CI/CD pipelines, and performance monitoring.

• Ability to develop chatbots and conversational AI tools using Dialogflow or similar NLP platforms.

• Awareness of business domains such as asset management, wealth management, and payment systems.

• Analytical mindset with the ability to transform data insights into strategic recommendations.

• Good communication skills to collaborate with technical and non-technical stakeholders.

• Ability to manage multiple projects simultaneously in a fast-paced environment.

• Openness to learning new tools, frameworks, and AI advancements to continuously improve capabilities.

• Detail-oriented approach with a commitment to accuracy, reproducibility, and ethical AI application.

• Eagerness to contribute to Cognizant’s mission of transforming business through intelligent technology.

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Additional Information

• Cognizant fosters a culture that values teamwork, respect, and collaboration among employees.

• The company provides equal employment opportunities regardless of gender, race, color, or background.

• Employees are encouraged to take initiative, share ideas, and participate in innovation programs.

• The Data Scientist role offers professional growth through exposure to global clients and cutting-edge AI solutions.

• The organization ensures that employees maintain work-life balance through flexible hybrid work options.

• Regular learning programs and internal workshops are provided to keep teams updated on the latest industry developments.

• Cognizant emphasizes transparency, integrity, and inclusivity in every business operation.

• The company encourages employees to engage in community welfare programs and sustainability initiatives.

• All recruitment and hiring processes comply with local employment laws and diversity commitments.

• Candidates may attend interviews virtually or in person and must provide valid identification during interviews.

• Compensation and benefits are competitive and reviewed periodically to align with market standards.

• Cognizant maintains an environment that prioritizes innovation, collaboration, and ethical leadership.

• The organization believes in building long-term careers, providing mentorship, and rewarding contributions.

• The global Cognizant network connects employees from different cultures and encourages mutual learning.

• This opportunity is designed for individuals who aspire to create real-world impact through the power of data science.

Please click here to apply.