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Job Location | Bangalore |
Education | Not Mentioned |
Salary | Rs 24 - 32 Lakh/Yr |
Industry | Recruitment Services |
Functional Area | General / Other Software |
EmploymentType | Full-time |
Title Snr Data Scientist-NBFC(Financial services)-Bangalore-10yrs+-25-30lakhs Apply Now Categories Senior Manager Jobs Salary 25-30lakhs Total Yrs Of Experience Required 10yrs+ Job Location Bangalore Job DescriptionOur client is a FinTech Non Banking Financial Services Company dedicated to driving Financial Inclusion in the MSME sector. Our client is the only company from India recognized globally by the World Bank/IFC with a gold award in 2019 as Bank of the Year-Asia for innovative work in SME financing. The company is an RBI-registered Systemically Important NBFC. Headquartered in Bangalore, we have 110 branches across Karnataka, Gujarat, Maharashtra, Andhra Pradesh, Telangana, Tamil Nadu and UT ,Puducherry with more than 1000 employees.Job DescriptionSenior Data ScientistTeam -Data Science and Business Intelligence TeamRole Description We are looking for a smart and experienced analytics manager who can lead a team of analysts to build and deploy predictive models to infuse core business functions with deep analytical insights. The Senior Data Scientist will also work closely with the organisation management team to investigate strategically important business questions. Lead a team through the entire analytical life cycle: define the problem statement build and clean datasets exploratory data analysis feature engineering apply ML algorithms and assess performance codify for deployment Communicate Analysis to Stakeholders Manage Data Analysts and Data Scientists Summary of Mindset, Skills, and ExperienceYou should be a deeply curious person with a lot of humility and aptitude in Math and Stats to go along with your technical skills. More specifically: Studies in Data Science/ Stats or other quantitative fields (CS, Eng, Math, Econ) 5+ years as an analytical professional role with 3+ years in a leadership role. Excellent communication skills (written, verbal, and data viz). English Fluency. Comfort with programming (eg Python), stats tools (Pandas or R) and SQL. Working knowledge of support tools and utilities (AWS, Git, Airflow, PySpark). Domain knowledge in Financial Services a big plus. Initiative, Energy, Bias for Action and a commitment to our social mission.Skills
Keyskills :
machine learningpythondata analysissqlanalyticsbias for actionequipment supplyfinancial servicesdata visualizationfinancial inclusioncommunication skillsbusiness intelligence