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

Position:

• Associate Data Scientist

Company:

• Cognizant

Location:

• Chennai, India

Job type:

• Full time

Job mode:

• Hybrid

Job requisition id:

• 00067591248

Years of experience:

• 0 to 3 years

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Company description:

• Cognizant is a globally recognized professional services organization that focuses on helping businesses adapt to the digital age through technology driven transformation and consulting solutions

• The company operates at a large global scale with a workforce exceeding 300000 professionals distributed across multiple countries, allowing it to deliver services across diverse industries and domains

• It is widely known for its consulting led approach where industry specific expertise is combined with technology capabilities to solve complex business challenges for clients

• The organization specializes in modernizing business operations, improving efficiency, and building innovative digital solutions that help enterprises stay competitive in an evolving market environment

• Headquartered in the United States, the company has earned recognition on major global lists such as the NASDAQ 100 and Forbes World’s Best Employers, which reflects its reputation for both performance and workplace culture

• A strong emphasis is placed on innovation, continuous learning, and employee growth, ensuring that individuals have the flexibility to build long term careers aligned with their aspirations

• The organization also prioritizes responsible business practices, focusing on sustainability, ethical decision making, and community impact

• Employees are encouraged to work in an inclusive and collaborative environment where diverse perspectives are valued and contribute to better outcomes

• The company supports clients across various sectors including healthcare, banking, retail, manufacturing, and technology, making it a versatile workplace for professionals looking to gain cross industry exposure

• Overall, it represents a combination of global reach, technological depth, and a strong commitment to innovation and employee development

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Profile overview:

• The Associate Data Scientist role is designed for individuals who are passionate about working with data and solving real world business problems through analytical thinking and data driven approaches

• In this role, you will be expected to work closely with different teams across the organization to understand business challenges and translate them into structured analytical tasks

• The position involves working with large and complex datasets, extracting meaningful insights, and presenting those insights in a way that supports decision making at different levels of the organization

• You will contribute to building predictive and statistical models that help forecast trends, improve operational efficiency, and identify opportunities for growth

• The role requires a strong balance between technical expertise and business understanding, as you will need to communicate findings effectively to both technical and non technical stakeholders

• Collaboration plays a major part in this position, as you will work alongside data engineers, analysts, business teams, and leadership to ensure alignment between analytical outputs and business goals

• The hybrid work setup allows flexibility between working remotely and from the office, enabling better productivity and collaboration

• Over time, you will also be involved in automating processes, improving data pipelines, and enhancing the overall data ecosystem within the organization

• The role is ideal for fresh graduates or early career professionals who want to build a strong foundation in data science while working on impactful projects

• By contributing to data driven strategies, you will directly influence business outcomes and support the organization’s long term growth

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Qualifications:

• A strong academic or practical background in analytics, statistics, mathematics, computer science, or a related field is expected

• Candidates should demonstrate hands on experience or understanding of data analysis techniques and the ability to work with structured and unstructured datasets

• Proficiency in programming languages such as Python or R along with knowledge of SQL for data querying is highly valuable for this role

• Familiarity with statistical concepts such as probability, hypothesis testing, regression, and data distributions is important for building reliable models

• Exposure to machine learning techniques including classification, clustering, and predictive modeling is preferred

• Candidates should be comfortable using data visualization tools to present insights in a clear and understandable format

• Strong problem solving skills are essential, as the role involves identifying patterns, diagnosing issues, and proposing effective solutions

• Good communication skills are required to explain technical findings to stakeholders who may not have a technical background

• The ability to work collaboratively in a team environment while also managing individual responsibilities is important

• Adaptability to a hybrid work model and willingness to continuously learn new tools and technologies is expected

• Certifications such as Certified Analytics Professional or other recognized data science credentials can add value to the candidate’s profile

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Additional info:

• The role operates in a hybrid work model, allowing employees to split their time between remote work and office presence depending on project requirements

• Working hours are aligned with day shifts, which supports a stable and balanced work schedule

• Candidates may be required to participate in interviews either virtually or in person as part of the hiring process

• During the selection process, identity verification may be required through government issued identification

• The organization follows equal opportunity employment practices and evaluates candidates based on merit and qualifications without bias

• Employees are encouraged to engage in continuous learning and stay updated with the latest trends in data science and analytics

• The company promotes a collaborative and inclusive workplace culture where employees support each other and work towards shared goals

• Opportunities for career growth are available through internal mobility, skill development programs, and exposure to global projects

• The organization also emphasizes ethical practices, ensuring that data privacy, security, and compliance standards are maintained at all times

• Being part of a global organization provides access to diverse projects and the chance to work with clients across different industries and geographies

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Responsibilities:

• Work with large and complex datasets to identify patterns, trends, and actionable insights that support business decision making

• Build and maintain data models that improve the efficiency and effectiveness of data processing and analysis

• Collaborate with business stakeholders to understand requirements and convert them into structured analytical solutions

• Develop predictive models to forecast outcomes and assist in strategic planning

• Apply statistical techniques to enhance the accuracy and reliability of analytical outputs

• Provide clear and actionable recommendations based on data findings to improve business performance

• Integrate analytics solutions into existing systems to streamline workflows and operations

• Maintain high standards of data quality, security, and governance across all processes

• Automate repetitive data tasks and reporting processes to improve productivity and reduce manual effort

• Communicate insights effectively using visualizations, reports, and presentations tailored to different audiences

• Stay updated with emerging tools, technologies, and methodologies in the field of data science

• Contribute to the development of long term data strategies aligned with organizational objectives

• Promote a culture where data driven decision making is encouraged and widely adopted across teams

Please click here to apply.