LO
Full time
🤖 AI / ML
Data Scientist – Mortgage Analytics & AI at loanDNA
Listed by DevShelfHub
Chennai, India
Hybrid
Senior · 5–10 yrs
About the Role
The mortgage and real estate industry generates vast volumes of structured and unstructured data—and data science is becoming central to how lenders evaluate risk, optimize performance, and build smarter products. loanDNA is hiring an experienced Data Scientist to build production-grade machine learning solutions at the intersection of data science, cloud technology, and large-scale data engineering.
This Chennai-based, work-from-office role offers end-to-end ownership across the ML lifecycle on real mortgage and property datasets.
What you'll do
- Design, develop, and productionize machine learning and statistical models
- Work with large-scale structured and unstructured datasets
- Perform exploratory data analysis to identify patterns, trends, and anomalies
- Develop advanced feature engineering and data transformation pipelines
- Build predictive models using regression, tree-based models, gradient boosting, ensemble modeling, clustering, and deep learning
- Develop end-to-end ML pipelines covering data preparation, training, validation, deployment, scoring, and monitoring
- Conduct model backtesting, benchmarking, hyperparameter optimization, and performance analysis
- Develop model explainability using SHAP and feature importance techniques
- Monitor model performance, data drift, feature drift, and production accuracy
- Develop scalable batch and real-time prediction pipelines
- Build reusable analytical frameworks and automated data-quality checks
- Investigate production issues and perform root-cause analysis
- Present model results and recommendations to business stakeholders and leadership
What we're looking for
- Bachelor's or Master's in Data Science, Computer Science, Statistics, Mathematics, Engineering, Economics, or quantitative discipline
- Strong professional experience in Data Science, ML, or Advanced Analytics
- Strong proficiency in Python and SQL
- Strong understanding of machine learning and statistical modelling
Skills & Technologies
Required
Bachelor's or Master's in Data Science, Computer Science, Statistics, Mathematics, Engineering, Economics, or quantitative discipline
Strong professional experience in Data Science, ML, or Advanced Analytics
Strong proficiency in Python and SQL
Strong understanding of machine learning and statistical modelling
Experience developing predictive models on real-world datasets
Feature engineering, model evaluation, and optimization experience
Experience with large and complex datasets
Ability to translate business requirements into ML solutions
Benefits & Perks
- Health Insurance
- Flexible Leave Policy
- Learning Budget
- EPF / NPS
Why This Role is Good for Experienced Professionals
- Own production ML systems on large-scale financial datasets with measurable business impact.
- Design, develop, and productionize ML and statistical models end-to-end
- Work with Snowflake, Databricks, and major cloud platforms
- Build predictive models: regression, gradient boosting, clustering, deep learning
- Develop model explainability using SHAP and feature importance
- Monitor model performance, data drift, and production accuracy
- Build scalable batch and real-time prediction pipelines
- Collaborate with Data Engineers, Product, and Business teams
- Influence architecture and direction of data science solutions
- Experiment with traditional ML, advanced analytics, and Generative AI
- Mortgage domain experience preferred but not required
About loanDNA
loanDNA builds data-driven solutions for the mortgage and real estate industry. The company hires leaders who combine mortgage expertise with emerging technologies—AI, automation, and advanced analytics—to deliver smarter, faster solutions. Their team spans loan quality evaluation, collateral assessment, disposition strategies, and performance optimization across the full mortgage lifecycle.
- Industry
- Technology
- Company Size
- 500+
- Website
- loandna.com
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Job Details
- Type
- Full time
- Level
- Senior
- Experience
- 5–10 years
- Location
- Chennai, India
- Work Mode
- Hybrid
- Category
- AI / ML
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