Senior Manager – Python & Data ScienceAbout Cognizant CorporateCognizant 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 RoleAs 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 excellenceWhat 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 ItThese 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 LearningEducation & Certifications • MSc, MTech, or BTech in Computer Science, Artificial Intelligence, Data Science, or a related field • Relevant certifications in Data Science, AI, or Machine LearningWork Model – HybridWe 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. About Cognizant: Cognizant (Nasdaq: CTSH) is an AI Builder and technology services provider, bridging the gap between AI investment and enterprise value by building full-stack AI solutions for our clients. Our deep industry, process and engineering expertise enables us to build an organization’s unique context into technology systems that amplify human potential, drive tangible outcomes and keep global enterprises ahead in a fast-changing world. See how at cognizant.ai or @cognizant. Additional employment information Compensation information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law. Applicants may be required to attend interviews in person or by video conference. In addition, candidates may be required to present their current state or government issued ID during each interview. Cognizant is an equal opportunity employer. Your application and candidacy will not be considered based on race, color, sex, religion, creed, sexual orientation, gender identity, national origin, disability, genetic information, pregnancy, veteran status or any other characteristic protected by federal, state or local laws.