
Data Science Manager
- Bangalore, Karnataka
- Permanent
- Full-time
- Manage and deliver analytics projects from conception to completion with actionable insights and recommendations
- Support defining methodology, creating and executing on the data framework with appropriate methodologies
- Clearly communicate the findings and recommendations from analysis, drive deployment and implementation of analytics solutions, and track business value impact
- Work with VisaNet (i.e., Visa's transaction data), clients and 3rd party data sources to create advanced data-driven solutions and dashboards
- Actively seek out opportunities to innovate by using non-traditional data and new modelling techniques fit for purpose to the needs of our clients
- Engage with, and manage internal stakeholders across different data projects in AP
- Degree (Masters or higher would be an advantage) in IT, Computer Science, Data Science, AI, Machine Learning, Business Analytics or equivalent experience
- Minimum 8 years of professional experience in Data Analytics/ Data Science/ AI/ Machine Learning
- Deep analytical expertise in applying statistical solutions to business problems
- Experience with extracting and aggregating data from large data sets using SQL, Hive, Spark, or other tools
- Experience on programming languages (Python and/or C or more), ML/DL tools, Scikit-learn, Tensorflow or PyTorch and proficiency in one or more statistical techniques: Neural Networks, Gradient Boosting, Linear & Logistic Regression, Decision Trees, Random Forests, Markov Chains, Support Vector Machines, Clustering, Principal Component Analysis, Factor analysis, etc
- Experience working with visualization tools such as Tableau and Power BI
- Excellent presentation and storytelling skills, including strong oral and written capabilities
- Role requires the incumbent to travel to client locations
- Experience in analytics for retail banking, card issuing or consulting to retail banks
- Good understanding of payments and banking
- Story boarding and data story telling including strong PowerPoint and Excel skills
- Experience in working closely with data science community