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Data Scientist - FinBox

Data Scientist - FinBox

Finbox

2 - 4 years

4 - 6 Lacs

gurugram

Posted:1 day ago| Platform:

Apply

Skills Required

version control git risk assessment machine learning schema data quality monitoring financial services sql python

Work Mode

Work from Office

Job Type

Full Time

Job Description

Credit Scoring & Risk Models:

Build and refine credit scoring models using statistical and machine learning techniques tailored for fintech and NBFC use cases.

Data Analytics & Insights:

Analyze structured and unstructured datasets to uncover patterns, trends, and insights that drive better decision-making.

Model Development & Testing:

Develop predictive models for risk assessment,customer segmentation, and product optimization; perform validation and back-testing to ensure accuracy.

Experimentation:

Support A/B testing and other controlled experiments to measure product impact and improve business strategies.

Visualization & Reporting:

Create dashboards and reports to present model results and business insights to non-technical stakeholders.

Data Preparation:

Collect, clean, and preprocess raw data for modeling and analysis, ensuring high data quality and consistency.

Collaboration:

Work closely with product managers, engineers, and business teams to define problems, develop solutions, and integrate models into business workflows.

Model Deployment Support:

Assist in deploying machine learning models into production environments and monitoring their performance.

Who You Are:

Experience:

2 4 years of experience in Data Science, preferably in the fintech/NBFC/banking domain.

Credit Scoring Expertise:

Hands-on experience in developing and implementing credit risk/credit scoring models.

Technical Skills:

Proficiency in Python, SQL, and Excel for data manipulation, analysis, and modeling.

Cloud & Tools:

Exposure to AWS (or other cloud platforms) and Git for version control.

Statistical Knowledge:

Strong grasp of regression, decision trees, clustering,hypothesis testing, and other ML/statistical techniques.

Visualization:

Ability to present findings using tools like Tableau, Power BI, or visualization libraries (matplotlib, seaborn, plotly).

Problem-Solver:

Strong analytical thinking and ability to translate business requirements into data-driven solutions.

Communication:

Comfortable explaining technical concepts and model outcomes to business and product stakeholders.

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Personal Settings

Data Scientist - FinBox

Experience & Salary

Skills Required

Work Mode

Job Type

Job Description

Credit Scoring & Risk Models:

Data Analytics & Insights:

Model Development & Testing:

Experimentation:

Visualization & Reporting:

Data Preparation:

Collaboration:

Model Deployment Support:

Who You Are:

Experience:

Credit Scoring Expertise:

Technical Skills:

Cloud & Tools:

Statistical Knowledge:

Visualization:

Problem-Solver:

Communication:

More Jobs at Finbox