Bengaluru, Karnataka, India
6 hours ago
Data Scientist Lead

We have an exciting opportunity for you to advance your data science career and shape the future of AI-driven analytics.

As a Data Scientist Lead in the Card Analytics team, you design and implement end-to-end data and AI solutions that drive commercial impact for our clients and customers. You collaborate with agile teams to deliver innovative analytics and generative AI use cases, focusing on digital analytics and customer journey.

Job responsibilities

Learn our business and how we deliver value for clients globallyIdentify opportunities to grow our Cards business using technical skills and curiosityBuild and rigorously test new data and AI-driven insightsDevelop scalable frameworks for seamless AI model integration across business applicationsBuild and test AI agents, iterating designs to enhance functionality and user experienceCreate data pipelines and dashboards using Databricks, Python, Tableau, and AlteryxMonitor AI model performance and implement updates to maintain quality and relevance

Required qualifications, capabilities, and skills

Degree in a scientific field (Computer Science, Engineering, Data Science, etc.) and nine years applied experience in AI/ML or data scienceUnderstanding of AI models, including large language model capabilities and limitationsExperience with statistical analysis, data-driven decision-making, and pattern identificationFamiliarity with AI/ML model evaluation and relevant metricsExperience with Python and SQLExposure to cloud platforms such as AWS, GCP, or Azure, and Software Development Life Cycle conceptsStrong communication and collaboration skills with the ability to work effectively in teams

Preferred qualifications, capabilities, and skills

Experience in data analysis, data science, or related fieldsFamiliarity with AWS and Databricks for data management and analysisUnderstanding of quality assurance practices and the importance of data integrityAwareness of big data technologies such as Spark and distributed computing concepts
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