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| Job Location | Gurugram |
| Education | Not Mentioned |
| Salary | Not Disclosed |
| Industry | Media / Dotcom / Entertainment |
| Functional Area | Sales / BD |
| EmploymentType | Full-time |
Role2 : Senior Consultant What youll be doing in your new job: Responsible for solving customer problems by developing Algorithms and Machine Learning/ AI models Ability to think through different approaches and decide on the optimal one while solving problems. Create examples, prototypes, and demonstrations to help others to better understand the work. Ability to work autonomously. Smart people like independence and we encourage it. Ability to think through different approaches and decide on the optimal one while solving problems. What are we looking for (Must have): Extremely sophisticated Statistical model building ability, one who understands the Maths as well as Model building process to solve a particular problem. We like people who can explain what they are doing at every level of detail. Has a solid understanding of Multivariate Time series Forecasting, CLV Modelling, Credit Risk Scorecard, Collection Scorecards, Churn Modelling, SME Lending, Cross Sell. Very strong programming skills - R, SQL and Python skills. Experience in building financial models like application, behavior, collection scorecards. Ability to learn new fields of Data Science and contribute to new field of studies through the research paper. Dont worry, you wont be doing it alone. There is a very strong culture of creating new knowledge at Number Theory. PhD/ Masters in Statistics/ Mathematics/ Operations Research from Tier 1 College with minimum 4 years of relevant experience. What are we looking for (Nice to Have): Knowledge of Machine Learning/ Deep Learning and an inclination towards cutting edge data science tools/ approaches. Knowledge of Banking/ Financial services Domain. The role needs to be ahead of our customers and provide them thought leadership in their area of business,
Keyskills :
sapcustomer relations deliverysales sqlcredit risk time seriesdata science deep learnin