About Cognizant Corporate
Cognizant Corporate is a global community united by a shared purpose: to make a meaningful impact. We are committed to excellence and driven by outcomes that matter. Collaboration is at the heart of how we work, and our forward-thinking mindset fuels continuous learning, innovation, and growth.
At Cognizant, careers transcend titles. We empower our people to think strategically, inspire others, and lead with purpose – always guided by our core values. Join us in shaping future of business.
About the Role
As a Tech Lead Architect – Python & Data Science , you will lead high-impact, data-driven initiatives by guiding teams in the design, development, and implementation of advanced analytics and software solutions. You will be responsible for technical leadership across projects, ensuring architectural excellence, coding best practices, and continuous innovation.
In this role, you will mentor Python developers and data scientists, collaborate closely with business and technology stakeholders, and translate complex requirements into scalable technical solutions. You will have the autonomy to shape architecture decisions, drive engineering standards, and influence the future direction of data science solutions within the organization.
In This Role, You Will
Lead and mentor a team of Python developers and data scientists, providing technical guidance and direction
Foster a collaborative, innovative, and high-performing team environment
Own and oversee solution architecture and technical design for data-driven projects
Manage project timelines, deliverables, and technical stakeholder communications
Design and develop scalable, performant software solutions using Python
Lead the implementation of data science models and machine learning algorithms to solve complex business problems
Ensure high code quality through reviews, best practices, and engineering standards
Collaborate with cross-functional teams to deliver high-quality and integrated solutions
Translate business requirements into robust, scalable technical designs
Coordinate with other technical leads to ensure consistency, reuse, and integration across platforms
Stay current with emerging trends in Python, data science, and AI, and apply innovations where relevant
Optimize performance, scalability, and reliability of data-driven applications
Promote a culture of ownership, continuous improvement, and technical excellence
What You Must Have to Be Considered
12+ years of hands-on experience in application design, development, and engineering
Strong proficiency in Python programming and data science libraries including Pandas, NumPy, Scikit-learn, TensorFlow, and PyTorch
Deep understanding of machine learning algorithms and statistical analysis techniques
Experience with data visualization libraries such as Matplotlib, Seaborn, and Plotly
Strong expertise in SQL and NoSQL database technologies
Experience working with big data technologies such as Hadoop, Spark, and Kafka
Hands-on experience with data preprocessing, feature engineering, and data wrangling
Proficiency in setting up and managing CI/CD pipelines using tools such as Jenkins, GitLab CI, CircleCI, or Azure DevOps
Experience with containerization and orchestration technologies including Docker and Kubernetes
Strong knowledge of cloud platforms such as AWS, Google Cloud Platform (GCP), and Microsoft Azure
Excellent analytical and problem-solving skills with the ability to resolve complex technical issues
Proven ability to design innovative solutions for large-scale and complex problems
- A strong sense of ownership, desire to create meaningful outcomes, and passion for work that serves a greater good for customers, communities, or global challenges.
- The embodiment of Cognizant’s Values of: Work as One, Dare to Innovate, Raise the Bar, Do The right Thing, & Own It
These Will Help You Succeed
Industry experience in a similar technical leadership or architect role
Strong experience collaborating directly with business stakeholders and senior leaders
Exposure to large-scale distributed systems and enterprise data platforms
Ability to drive technical strategy and roadmap discussions
Relevant certifications in Data Science, Artificial Intelligence, or Machine Learning
Education & Certifications
MSc, MTech, or BTech in Computer Science, Artificial Intelligence, Data Science, or a related field
Relevant certifications in Data Science, AI, or Machine Learning
Work Model – Hybrid
We believe hybrid work is the way forward as we strive to provide flexibility wherever possible. Based on this role’s business requirements, this is a hybrid position requiring 2–3 days per week in a Cognizant office in Bangalore .
Regardless of your working arrangement, we are committed to supporting a healthy work-life balance through our comprehensive wellbeing programs.
We’re excited to meet people who share our mission and can make an impact in a variety of ways. Don’t hesitate to apply, even if you meet only the minimum requirements listed. Think about your transferable experience and unique skills that can bring new perspectives and value to this role.