Cientista de Dados Sênior (Empréstimo Digital)
₹50L / yr
A vaga é para cientista de dados sênior em uma empresa financeira não bancária que oferece serviços de empréstimo digital. O cargo foca em ciência de dados de crédito e fraude de ponta a ponta, incluindo engenharia de atributos a partir de arquivos JSON brutos de bureaus, logs de SMS, dados de dispositivos e fontes de dados alternativas como FinBox. As responsabilidades incluem construir e manter scorecards de crédito para tomadores de primeira viagem e recorrentes, desenvolver modelos com XGBoost, random forest, support vector machines e técnicas de ensemble, e projetar um motor de regras de negócio para implantação e monitoramento de modelos. O cientista trabalhará em estreita colaboração com a equipe de data science existente, gerentes de produto, engenheiros e os fundadores, traduzindo insights de dados em decisões de produto e regras operacionais. Os candidatos devem ter pelo menos quatro anos de experiência, fortes habilidades em Python com pandas e scikit‑learn, sólido conhecimento de XGBoost e SQL, e um histórico comprovado em modelagem de risco de crédito ou fraude. A posição é ideal para um profissional tecnicamente competente e colaborativo, capaz de levar modelos da pesquisa à produção em um ambiente fintech de ritmo acelerado.
Education
- Level: Bachelor's degree
Key Skills
Notes
0-1 year experience eligible.
Senior Data Scientist (Digital Lending) NBFC for Digital Lending Agency job via Cutshort Lightning by Bisman Gill Apply now Mumbai 4 yrs+ Upto ₹50L / yr (Varies ) Data Science pandas Scikit-Learn XGBoost SQL The Role Own end-to-end credit & fraud data science: feature engineering from raw bureau JSON ,SMS,DEVICE, scorecard / model development, Business Rule Engine (BRE) design, monitoring, and partnering with product/engineering to put rules live. You will work directly with the existing DS team,Tech,product and founders — decisions are data-backed and debated. What you will own Build and maintain credit scorecards and models for FTB and Repeat Borrowers (Xgboost, Random forest, Support Vector Machine Models, ensemble models, challenger models). Engineer features from raw CRIF (or equivalent) bureau JSON — tradelines, enquiries, DPD histories, identity matches — and from raw SMS / FinBox alt-data (collections, rejections, salary, app footprint). Design, validate, and ship Models: hard
Skills for this role
Required skills
Also mentioned in the listing
| Role | Senior Data Scientist (digital Lending) |
|---|---|
| Company | NBFC For Digital Lending |
| Compensation | ₹50L / yr |
| Deadline | Rolling |
Typical process for this type of role
A general guide — the exact steps for this specific listing may vary; check the original posting for details.
- 1ApplicationSubmit your resume through the apply link.
- 2ScreeningRecruiter reviews your background against the role.
- 3AssessmentA technical test, assignment, or coding round, depending on the role.
- 4Interview(s)One or more rounds with the hiring team.
- 5OfferOffer letter with compensation and start date.
Before you apply
0/4Cientista de Dados Sênior (Empréstimo Digital) at NBFC For Digital Lending: frequently asked questions
- Who can apply for the Cientista de Dados Sênior (Empréstimo Digital) role at NBFC For Digital Lending?
- The listing asks for Bachelor's degree; freshers are welcome.
- What skills does the Cientista de Dados Sênior (Empréstimo Digital) role require?
- The listing highlights SQL. Show each of these in a project or past role on your resume.
- What is the salary for this role?
- NBFC For Digital Lending lists ₹50L / yr. The final offer is confirmed by the company during hiring.
- What is the application deadline?
- NBFC For Digital Lending has not listed a fixed deadline, so apply early in case the opening is filled.
- How do I apply for the Cientista de Dados Sênior (Empréstimo Digital) role?
- Use the Apply button on this page. It opens the original listing on cutshort.io, where you submit your application with the company.
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