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

Position:

Cognizant is a globally recognized professional services company that specializes in transforming clients' business, operational, and technological models for the digital era.
The company adopts a unique industry-based, consultative approach that enables clients to develop, implement, and sustain innovative and efficient business solutions.
Headquartered in the U.S., Cognizant is a member of the NASDAQ-100 and has been consistently listed among Forbes' World's Best Employers.
Cognizant’s mission is to lead with digital solutions, fostering a work culture that is innovative, inclusive, and collaborative.
With over 300,000 associates worldwide, Cognizant values diversity, ethical responsibility, and sustainability, ensuring its employees thrive in a dynamic and supportive environment.
The company emphasizes continuous learning, providing opportunities for professional growth and upskilling to maintain a competitive edge in the rapidly evolving technology landscape.

The AIML Data Scientist role involves solving complex business problems using AI and machine learning techniques.
The candidate is expected to have strong analytical skills, a deep understanding of data science, and expertise in deep learning algorithms.
The role demands proficiency in data preprocessing, model development, and deployment on cloud platforms.
The ideal candidate will work closely with business stakeholders to comprehend challenges, identify suitable AI-driven solutions, and implement models that enhance decision-making processes.
Strong knowledge of AI/ML frameworks, such as TensorFlow and PyTorch, is crucial for designing and optimizing models.
The role also involves collaborating with cross-functional teams to integrate AI solutions with existing applications via REST APIs and other modern technologies.
The position requires keeping up to date with the latest advancements in AI/ML and continuously refining model performance through optimization techniques.
Strong communication skills are essential to articulate technical concepts to both technical and non-technical stakeholders.

Hands-on experience in implementing AI and ML algorithms to solve real-world business problems.
Proficiency in Python, R, and SQL for data processing and model development.
Expertise in deep learning frameworks like TensorFlow and PyTorch.
Ability to work with unstructured data, including text, speech, image, and video, to develop AI-driven solutions.
Experience in designing NLP models for tasks such as text classification, entity recognition, text summarization, and topic modeling using tools like SpaCy.
Proficiency in building image recognition and video analysis models with OpenCV and other open-source tools.
Familiarity with optimization techniques to improve deep learning model accuracy and performance.
Strong skills in data visualization using tools like Power BI and Tableau for model validation and analysis.
Knowledge of cloud-based AI/ML deployment using platforms like AWS, Azure ML, IBM Watson, and Google Cloud.
Experience with CI/CD pipelines for deploying machine learning models in production.
Understanding of API development and integration for seamless communication between AI models and other applications.
Experience in collaborative development using Git/GitHub and version control tools.
Strong problem-solving skills, creativity, and a consultative approach to AI implementation.
Awareness of digital ethics, data security, and privacy concerns related to AI solutions.

The role requires constant upskilling to stay ahead in the field of AI and ML.
Candidates with experience contributing to open-source AI/ML projects and Kaggle competitions will be preferred.
Exposure to handling large datasets using big data tools like PySpark and Hadoop is a plus.
Familiarity with reinforcement learning and genetic algorithms will be advantageous.
Experience in deploying AI models at scale and optimizing their performance in real-world scenarios.
Understanding of cutting-edge technologies such as stream data processing, RPA, edge computing, AR/VR, and their applications in AI.
Strong communication skills to effectively convey AI-driven insights to business stakeholders.
The position is ideal for individuals who thrive in an innovative and collaborative work environment.
Cognizant’s work culture promotes teamwork, inclusivity, and continuous professional development, offering an excellent platform for career growth.

Cognizant is an equal opportunity employer that values diversity and inclusion.
The company embraces individuals from all backgrounds, ensuring a work culture that champions equity and inclusion.
Applications are considered without regard to race, color, sex, religion, sexual orientation, gender identity, national origin, disability, genetic information, pregnancy, veteran status, or any other protected characteristics.
Cognizant fosters a workplace where every employee feels heard, valued, and empowered to contribute to the company’s mission and vision.

Compensation details provided are accurate as of the date of this posting.
Cognizant reserves the right to modify job-related information, including job descriptions and salary structures, in accordance with applicable laws and company policies.
Applicants may be required to attend interviews in person or via video conferencing.
Candidates may also need to present a valid government-issued ID during the hiring process.