Time since we first saw it
Day 160
Up longer than most. Similar jobs usually come down between day 7 and day 57.
From 10,789 similar postings that came down. Coming down is not always a hire.
VP Data Scientist
Hyderabad, Telangana, India
Open 5 months, first seen by us 160 days ago- Pay
- Pay not listed
- Work setting
On-site — work setting source
Work setup in the employer’s posting: On-site
From the employer’s posting- Employment
Full-time — employment source
Employment type in the employer’s posting: Full time
From the employer’s posting
What you’ll work on
Full postingDesign, build and maintain predictive models for credit risk and loan performance
Analyze merchant behavior and past deal performance to inform risk, pricing and retention
Integrate models into production systems with engineering and underwriting teams
Run A/B tests and experiments to evaluate product and policy changes
Build monitoring tools to track model performance and governance compliance
From the employer’s posting
Design, build, and maintain predictive models related to credit risk, loan performance, and customer segmentation
Analyze merchant behavior and historic deal performance to inform risk, pricing, and retention strategies
Collaborate with engineering, product, and underwriting teams to integrate models into production systems
Conduct A/B tests and experiments to evaluate product and policy changes
Develop and maintain monitoring tools to track model performance and ensure compliance with internal governance and regulatory frameworks
Posting record
Report an errorOpen 5 monthsWe first saw this posting 160 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.
- Status in our records
- Live
- First seen by us
- Jun 2, 2026160 days ago
- Recorded sightings
- 75
- Last seen by us
- Nov 9, 2026
- Employer says posted
- Mar 26, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
Fortunize is hiring
6 open jobs
- No new data jobs since July
- Its jobs tend to stay up a long time
See how this role fits your experience
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- Python
- R
- SQL
- AWS
Where the posting names them
The Data Scientist, will play a critical role in the development of data-driven solutions that enhance credit risk assessment, underwriting, pricing, and portfolio performance within our commercial vertical. From developing credit scoring models to identifying industry based signals and optimizing underwriting would be areas of impact for this role. The role will collaborate cross-functionally with stakeholders across Credit Risk, Product, Engineering, and Compliance to deploy models that are both technically robust and aligned with regulatory standards Requirements Design, build, and maintain predictive models related to credit risk, loan performance, and customer segmentation Analyze large and complex datasets to extract insights that inform credit strategy and operational decision-making. Analyze merchant behavior and historic deal performance to inform risk, pricing, and retention strategies Work closely with Credit Risk and Underwriting teams to refine credit policies and evaluate merchant eligibility Collaborate with engineering, product, and underwriting teams to integrate models into production systems Clean, structure, and analyze large structured and unstructured datasets (e.g., financials, cash flow data, application data, behavioral data). Conduct A/B tests and experiments to evaluate product and policy changes. Communicate findings and recommendations to both technical and non-technical stakeholders through clear documentation, visualizations, and presentations. Develop and maintain monitoring tools to track model performance and ensure compliance with internal governance and regulatory frameworks Required Experience & Skills: 7+ years of professional experience in data science, preferably within a fintech, financial services, or lending environment. Bachelor’s or Master’s degree in a quantitative field such as Statistics, Computer Science, Economics, Applied Mathematics, or related discipline. Proficiency in SQL, and Python/R. Experience with statistical modeling, machine learning, and predictive analytics. Solid understanding of credit risk modeling or financial services analytics. Ability to translate complex data into business recommendations Qualifications: Experience in small business lending, fintech, or alternative credit data. Familiarity with model governance and explainability techniques (e.g., SHAP) Exposure to cloud platforms (e.g., AWS) and data engineering workflows Advanced degree (Master’s or PhD) in a quantitative field such as Statistics, Computer Science, Economics, or similar would be a plus Understanding of model governance, regulatory requirements, and compliance standards
Your next step
Complete your application on fortunize.zohorecruit.in. The employer’s form will show what is required.
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Demand for Data Scientist roles
New Data Scientist postings at the employers we follow are down 5% over the last 6 weeks compared with the 6 before.
Each bar is one week of new postings. The darkest bars are the last 6 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
About the role
We file this job under Data Scientist, by the work the posting describes.
Data scientists use statistics and models to answer harder questions, such as whether a change worked, what demand will look like next quarter, or which customers are likely to leave.
Postings usually ask for Python or R, SQL, statistics, experiment design and common machine learning methods.
Unlike an ML engineer, a data scientist's main output is often an analysis or a first model, not software running inside a product.
US government figures for data scientists
- Median yearly pay, May 2025
- $120,230
- Expected change, 2025 to 2035
- 34.6% more jobsagainst 3.5% for all jobs
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-2051.
Job description
The Data Scientist, will play a critical role in the development of data-driven solutions that enhance credit risk assessment, underwriting, pricing, and portfolio performance within our commercial vertical. From developing credit scoring models to identifying industry based signals and optimizing underwriting would be areas of impact for this role. The role will collaborate cross-functionally with stakeholders across Credit Risk, Product, Engineering, and Compliance to deploy models that are both technically robust and aligned with regulatory standards Requirements Design, build, and maintain predictive models related to credit risk, loan performance, and customer segmentation Analyze large and complex datasets to extract insights that inform credit strategy and operational decision-making. Analyze merchant behavior and historic deal performance to inform risk, pricing, and retention strategies Work closely with Credit Risk and Underwriting teams to refine credit policies and evaluate merchant eligibility Collaborate with engineering, product, and underwriting teams to integrate models into production systems Clean, structure, and analyze large structured and unstructured datasets (e.g., financials, cash flow data, application data, behavioral data). Conduct A/B tests and experiments to evaluate product and policy changes. Communicate findings and recommendations to both technical and non-technical stakeholders through clear documentation, visualizations, and presentations. Develop and maintain monitoring tools to track model performance and ensure compliance with internal governance and regulatory frameworks Required Experience & Skills: 7+ years of professional experience in data science, preferably within a fintech, financial services, or lending environment. Bachelor’s or Master’s degree in a quantitative field such as Statistics, Computer Science, Economics, Applied Mathematics, or related discipline. Proficiency in SQL, and Python/R. Experience with statistical modeling, machine learning, and predictive analytics. Solid understanding of credit risk modeling or financial services analytics. Ability to translate complex data into business recommendations Qualifications: Experience in small business lending, fintech, or alternative credit data. Familiarity with model governance and explainability techniques (e.g., SHAP) Exposure to cloud platforms (e.g., AWS) and data engineering workflows Advanced degree (Master’s or PhD) in a quantitative field such as Statistics, Computer Science, Economics, or similar would be a plus Understanding of model governance, regulatory requirements, and compliance standards
Source details
Source notes
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- Pay
No pay amount identified in the saved description.
- Location & working pattern
Hyderabad, Telangana, India
Working pattern and location restrictions need checking in the full posting.
- Work authorization
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