Data Scientist – Exp – 1-6 Years – Budget – 12 LPA CTC – 35 LPA CTC – Worli, Mumbai

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Data Scientist – Exp – 1-6 Years – Budget – 12 LPA CTC – 35 LPA CTC – Worli, Mumbai

March 7, 2020 Uncategorized 0

Data Scientist
Experience Required: 1-6 years
Employment Type: Full Time
CTC Offered Best In The Industry

Location: Worli Mumbai

Awards won by the company :-

Top 25 Startups to work for 2019 

Winner – Amazon AI Conclave 2019

Must have skills
Solid understanding of data structures, algorithms, and first principles of mathematics.
Should be proficient in Python and have worked on at least one of the popular Deep
learning frameworks(Tensorflow, Keras etc.).
Applied deep learning experience with CV, NLP, or fraud analytics on real datasets.
Should be comfortable in going through open source code and reading research papers.
Should be curious or thoughtful enough to answer the WHYs pertaining to the most
cherished observations, thumb rules, ideas across the data science community.

Company Profile :-

The company is a banking and business intelligence solution provider, set out to create products that empower lending institutions and corporates with cloud based solutions for informed and intelligent decisions.

About The Company

The company is building one of the most comprehensive digital due diligence platforms to enable screening of counter parties through 700+ credible publicly available government information sources through a singular gateway. Karza’s offerings assist Financial Institutions throughout their customer journey from on-boarding [TotalKYC], risk assessment [Discover], Underwriting and Due Diligence, Monitoring and Recoveries. Each solution focuses on:

a. Thorough digitization of the processes 
b. Enabling rapid decisions ( Onboarding, Underwriting & Risk Assessment)
c. Ensuring comprehensive risk management and screening to ensure no key factors are missed out

Industries : Information Technology and Services
Headquarters : Mumbai, Maharashtra
Type : Privately Held
Founded : 2015

Specialities: Banking Applications, Credit Assessment, Loan Monitoring, Fraud Analytics, Big Data Analytics, Business Intelligence

Thanks & Regards,
Snigdha Banerjee

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