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

Position:

Company:

Location:

Job Type:

Job Mode:

Job Requisition ID:

Years of Experience:

Not explicitly mentioned; as per the JD looks like a fresher entry level role; 0-3 years

Company Description

Cognizant is a globally recognized professional services company dedicated to transforming clients' business, operations, and technology models for the digital age.
Headquartered in the United States, Cognizant is a NASDAQ-100 member and consistently listed among the most admired companies worldwide.
With a team of over 300,000 professionals worldwide, Cognizant fosters a culture of innovation and collaboration.
The company is committed to ethical business practices, sustainability, and creating a positive impact in communities.
Cognizant emphasizes diversity, inclusion, and equal opportunity employment, ensuring a workplace where all employees feel valued and respected.

The AIML Data Scientist will be responsible for applying Machine Learning (ML) and Deep Learning (DL) algorithms to address business challenges.
The role requires hands-on problem-solving skills and a consultative approach to drive impactful AI/ML solutions.
The professional will work closely with domain experts and customer teams to ensure the application of relevant AI models tailored to business needs.
Responsibilities include data preprocessing, feature engineering, model development, deployment, and optimization.
The candidate will leverage tools such as Python, R, SQL, TensorFlow, PyTorch, and cloud-based AI services.

Strong expertise in machine learning, statistical sciences, and deep learning methodologies.
Hands-on experience with NLP, computer vision, and AI model deployment in cloud or on-prem environments.
Proficiency in Python, R, SQL, and deep learning frameworks like TensorFlow and PyTorch.
Familiarity with tools such as OpenCV, Spacy, Power BI, Tableau, and cloud ML platforms (Azure ML, IBM Watson, AWS Sagemaker, Google Cloud).
Experience in operationalizing ML models and optimizing performance using state-of-the-art techniques.
Knowledge of big data processing, CI/CD pipelines, REST APIs, and microservices architecture.
Soft skills include curiosity, innovation, effective communication, and the ability to collaborate in large forums.

Candidates should have a passion for AI research and be active in open-source communities like Kaggle.
Experience in reinforcement learning, genetic algorithms, and optimization techniques is desirable.
Exposure to emerging technologies like RPA, edge computing, AR/VR, and digital ethics is beneficial.
Cognizant provides opportunities for continuous learning and professional development.
The work model follows a hybrid approach, balancing remote work and in-office collaboration.
Cognizant ensures fair hiring practices and encourages applications from diverse backgrounds.