Senior Associate - Python Data Science ExpertAbout 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 Senior Python Data Science Expert, you will drive impactful contributions and focus on outcomes. You will be a key member of the Enterprise Data & Analytics team, collaborating with data engineers, architects, business stakeholders, and IT partners.This role offers the opportunity to design and deliver scalable data science solutions using cloud platforms and modern data lakehouse architectures. You will have the autonomy to lead complex analytical initiatives, innovate continuously, and improve data workflows while upholding our commitment to quality, governance, and continuous learning. As part of a team of self-starters, you can work with impact, supported by a vibrant people-first culture and unmatched learning opportunities.In This Role, You Will • Perform complex data analysis on very large datasets to extract actionable insights and support business decision-making • Design, implement, and maintain data lakehouse architectures that integrate the benefits of data lakes and data warehouses • Develop and manage scalable data processing systems on cloud platforms such as AWS, Google Cloud, or Microsoft Azure • Design, build, and optimize ETL pipelines to ensure efficient data ingestion, transformation, and storage • Develop, deploy, and maintain machine learning models to solve business problems and enhance data-driven outcomes • Collaborate closely with cross-functional teams, including data engineers, analysts, and IT professionals, to ensure seamless data operations • Implement data governance practices to ensure data quality, security, and compliance with organizational and industry standards • Monitor, tune, and optimize the performance of data platforms and machine learning solutions • Maintain comprehensive documentation for data workflows, models, and processes • Embrace our vibrant culture by striving for excellence, focusing on meaningful outcomes, collaborating effectively, and taking ownership while fostering an inclusive and high-performance environmentWhat You Must Have to Be Considered • 8+ years of hands-on experience in data science, advanced analytics, and big data technologies • Strong expertise in Python programming for data analysis and machine learning • Proficiency in big data frameworks such as Hadoop, Spark, and Kafka • Extensive experience with cloud platforms including AWS, Google Cloud, or Microsoft Azure • Strong understanding of data lakehouse architectures and modern data platforms • Expertise in designing and optimizing ETL (Extract, Transform, Load) processes • Hands-on experience with machine learning frameworks such as TensorFlow, PyTorch, and scikit-learn • Proficiency in database technologies including SQL, NoSQL, and data warehousing solutions • Solid understanding of data governance principles, data quality, and data security best practices. • 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 • Advanced expertise in statistical analysis, predictive modeling, clustering, and anomaly detection • Experience working with structured, semi-structured, and unstructured data • Proficiency in data visualization tools such as Tableau, Power BI, or Python-based visualization libraries • Familiarity with DevOps practices and CI/CD pipelines for data science and machine learning solutions • Experience in performance tuning and optimization of large-scale data processing systems • Exposure to multiple programming or scripting languages such as R, Scala, Java, C++, SAS, or SQL • Strong project management and stakeholder engagement skills to lead data science initiatives end to endWork 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 only meet the minimum requirements listed. Think about your transferable experiences and unique skills that make you stand out as someone who can bring new and exciting contributions 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.