Data Scientist-Digital Banking Kotak 811-Regional Sales

Found in: beBee jobs IN - 2 weeks ago

Bengaluru, Karnataka, India Kotak Mahindra Bank Full time
Data Scientist – Kotak811About Us:Kotak811 is a Neobank incubated by Kotak Mahindra Bank, with a view of providing completely digitized banking services in the convenience of the customer's mobile phone.811 is an early mover in the Indian fintech space, that started off as a downloadable savings bank account in 2017, post demonetization, when India took one step closer to a digital economy.The Data Scientist in Bangalore (or Mumbai) will be part the 811 Data Strategy Group that comprises of Data Engineers, Data Scientists and Data Analytics professionals. He/she will be associated with one of the key functional areas such as Product Strategy, Cross Sell, Asset Risk, Fraud Risk, Customer Experience etc. and help build robust and scalable solutions, that are deployed for real time or near real time consumption and integrated into our proprietary Customer Data Platform (CDP). This is an exciting opportunity to work on data driven analytical solutions and have a profound influence the growth trajectory of a superfast evolving digital product.Key Requirements of The Role
• Advanced degree in an analytical field (e.g., Data Science, Computer Science, Engineering, Applied Mathematics, Statistics, Data Analysis) or substantial handson work experience in the space.
• 3 – 6 Years of experience in the space
• Strong understanding of advanced data mining techniques, curating, processing and transforming data to produce sound datasets.
• Strong understanding of the Machine Learning lifecycle - feature engineering, training, validation, scaling, deployment, scoring, monitoring, and feedback loop.
• Experience in analysing complex problems and translating it into an analytical approach.
• Experience in building analytical frameworks such as cost benefit analyses, opportunity assessment, RCA to address adhoc business problems as well as strategy focussed problems
• Experience in Supervised and Unsupervised Machine Learning including Classification, Forecasting, Anomaly Detection, Pattern Detection, Text Mining, using variety of techniques such as Decision trees, Time Series Analysis, Bagging and Boosting algorithms etc.
• Experience with analytical programming languages, tools and libraries (Python ecosystem preferred, but R will be considered).
• Experience in SQL and relational databases, cloud (AWS) and big data technologies like Spark
• Good understanding of programming best practices and building for re-use.
• Strong communication, partnership and teamwork skills.
• Ability to work in an extremely fast paced environment, meet deadlines, and perform at high standards with limited supervision.
• A self-starter who is looking to build grounds up and contribute to the making of a potential big name in the space
• Experience in Banking and financial services is a plus. However, sound logical reasoning and first principles problem solving are even more criticalA typical day in the life of the job role:1. As a key partner at the table, attend key meetings with the business team to bring in the data perspective to the discussions2. Perform comprehensive data explorations around to generate inquisitive insights and scope out the problem3. Develop simplistic to advanced solutions to address the problem at hand. We believe in making swift (albeit sometimes marginal) impact to business KPIs and hence adopt an MVP approach to solution development4. Build re-usable code analytical frameworks to address commonly occurring business questions5. Perform 360-degree customer profiling and opportunity analyses to guide new product strategy. This is a nascent business and hence opportunities to guide business strategy are plenty6. Guide team members on data science and analytics best practices to help them overcome bottlenecks and challenges7. The role will be an approximate 60% IC – 40% leading and the ratios can vary basis need and fit8. Develop Customer-360 Features that will be integrated into the Customer Data Platform (CDP) to enhance the single view of our customer9. Build reports and dashboards to track business KPIs, unearth areas of concern and perform RCAWebsite:

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