Associate Data Science at Cognizant – Hyderabad, India
If you are looking to elevate your career in data science, the Associate Data Science role at Cognizant offers an exciting opportunity. Located in Hyderabad, this full-time, on-site position is designed for data professionals who are ready to drive business insights through advanced analytics and machine learning.
Why the Associate Data Science Role Matters
In the modern digital era, companies like Cognizant rely on data to stay competitive. The Associate Data Science professional plays a key role in turning large volumes of data into actionable business strategies. In this role, you will unlock the power of data, develop predictive models, collaborate across teams, and accelerate decision-making across high-tech domains.
What You Will Do – Key Responsibilities
As an Associate Data Science team member you will:
- Analyse large and complex datasets to extract meaningful insights that support business decision-making, and drive operational efficiency.
- Develop and implement machine-learning models to solve business problems, improve predictive accuracy, and bring innovation to solutions.
- Collaborate closely with cross-functional stakeholders (business, product, operations) to understand requirements and translate them into data-driven solutions.
- Utilise Python 3 for automating data processing tasks and achieving efficiency in data handling.
- Design and maintain MySQL databases for proper data storage, retrieval, and integrity.
- Conduct data cleansing, validation and quality assurance to ensure the highest standards of data analytics.
- Communicate insights and recommendations to stakeholders in a clear, concise manner – enabling better decision-making.
- Maintain up-to-date knowledge of data science and machine learning advances, and integrate best practices into your workflows.
- Participate in code reviews, offer peer guidance, help build a collaborative team atmosphere.
- Ensure compliance with data governance and security policies to maintain confidentiality, integrity and compliance – critical for enterprise operations.
- Optimise data workflows and processes to enhance productivity and reduce operational cost.
- Provide technical support and mentoring to junior team members as they grow their data science skills.
- Work effectively in rotational shifts, ensuring coverage and support for the team’s global operations.
Qualifications & Skills for an Associate Data Science Candidate
To excel in the Associate Data Science role, you should bring:
- 5 to 8 years of relevant experience in data science or analytics, especially in applying machine-learning techniques in real-world business contexts.
- Proficiency in Python 3 programming: writing efficient, scalable code, building scripts and pipelines. Strong experience with MySQL databases: design, query optimisation, data retrieval and storage.
- Domain experience in the Hi-Tech sector (e.g., technology products, services) so you understand business challenges relevant to the role.
- Excellent English communication skills, both verbal and written, to interact effectively with diverse global stakeholders.
- Problem-solving orientation: ability to deliver practical, measurable solutions, not just theoretical models. Flexibility to work rotational shifts in a dynamic global team environment.
- Certifications like Certified Data Scientist (CDS), Python Programming, MySQL Database Certification are preferred.
Why Choose Cognizant for Your Associate Data Science Career?
When you join Cognizant in the Associate Data Science role, you’re working with a global, forward-thinking organisation. Here are just a few reasons:
- Cognizant is one of the world’s leading professional services companies, enabling digital transformation for its clients.
- With more than 300,000 associates globally, the company offers exposure, growth and community.
- The culture emphasises innovation, collaboration, inclusivity and a continuous-learning mindset — ideal for data scientists wanting to grow.
- As an Associate Data Science professional, you’ll work in a high-calibre team where your insights drive tangible business impact.
- The Hyderabad location means you’ll be at the crossroads of India’s tech-industry growth, with access to major talent pools, resources and opportunities.
What to Expect: Work Model & Location
- This is a full-time Work from Office position in Hyderabad, India.
- The job requires flexibility for rotational shifts, supporting global operations and ensuring continuous data-driven support for business stakeholders.Based in the Hyderabad office, you will be embedded in a vibrant tech environment, working alongside cross-functional teams and leading-edge projects.
How to Succeed in the Associate Data Science Role
To be successful in the Associate Data Science position, focus on the following:
- Deepen your machine-learning knowledge: Stay current on supervised/unsupervised models, feature engineering, model evaluation, and deployment techniques.
- Master Python3 for data workflows: Write clean, maintainable, and optimised code for data ingestion, transformation, modelling and presentation.
- Get comfortable with MySQL: Understand table design, indexing, query optimisation and data integrity practices—since your role will rely on structured data storage and retrieval.
- Develop strong business acumen in the Hi-Tech domain: Understand how technology companies create value, what their key metrics are, and the challenges they face — you’ll need to translate data science work into business outcomes.
- Communicate effectively: You’ll take complex analytical findings and present them to stakeholders who may not have technical backgrounds. Clarity, storytelling and actionable insights matter.
- Embrace rotational shifts and global team collaboration: Flexibility is key. Being available across time zones shows you can support business needs 24/7 when necessary.
- Continuously learn: Data science is evolving fast—keep up with new ML frameworks, database technologies, cloud-based analytics, governance and security practices.
- Mentor juniors & contribute to the team: Helping others and participating in code reviews will both improve team quality and raise your own profile.
- Champion data governance: In enterprise environments, data security, compliance and integrity matter. Being aware and proactive gives you an edge.
- Show you can deliver real results: Move beyond theory—demonstrate how your analyses and models led to real improvements in operational efficiency, cost savings or revenue uplift.
Career Path & Growth
As an Associate Data Science professional at Cognizant, you have a clear path forward:
- You may progress into senior data science roles, lead analytics teams, or specialise in domains such as natural language processing, computer vision, or advanced predictive analytics.
- Opportunities exist to interface with global clients, shape enterprise-wide analytics strategies, and drive large-scale transformation.
- With the company’s emphasis on learning and development, you’ll find resources to upskill in emerging technologies, certifications and leadership competencies.
Why This Role is Ideal for You
If you are a data scientist or analytics professional seeking to make the leap—from simply analyzing data to driving business decisions and machine learning implementations—then the Associate Data Science role offers just that. You won’t just work with data; you’ll lead how data shapes strategy and operations in a high-tech environment. With a major global employer like Cognizant, and based in Hyderabad, you’ll be part of a dynamic, collaborative environment that values your contributions and supports your professional growth.
Application Information
When applying for the Associate Data Science role at Cognizant:
- To apply for the Associate – Data Science position at Cognizant, follow these steps:
- Go to the official job page: Associate Data Science – Cognizant Careers.
- Scroll down to the “Apply Now” button (it links to Cognizant’s Taleo application portal).
- Click Apply Now.
- Sign in or create a Cognizant candidate account.
- Fill out the online application form — upload your resume, add your education, experience, and certifications (Python, MySQL, CDS, etc.).
- Review your details and submit your application.
You can also join their Talent Community on the same page to get alerts about similar data science openings.
Apply here
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