
Senior Manager, Data Science and Analytics
International Luxury Hotel Association
full-time
Posted on:
Location Type: Hybrid
Location: Bangalore • India
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Job Level
About the role
- Develop and maintain machine learning models and statistical tools for use cases such as risk scoring, churn prediction, segmentation, and document classification.
- Collaborate with Product, Engineering, and Analytics teams to identify data-driven opportunities and support automation initiatives.
- Translate business questions into modeling tasks and contribute to the design of experiments and success metrics.
- Assist in building and maintaining data pipelines and model deployment workflows in partnership with data engineering.
- Apply techniques such as supervised learning, clustering, and basic NLP to structured and semi-structured mortgage data.
- Support model monitoring, performance tracking, and documentation to ensure compliance and audit readiness.
- Contribute to internal best practices and participate in peer reviews and knowledge-sharing sessions.
- Stay current with developments in machine learning and analytics relevant to mortgage and financial services.
Requirements
- Minimum education required: Masters or PhD in engineering/math/statistics/economics, or a related field
- Minimum years of experience required: 2 (or 1, post-PhD), ideally in mortgage, fintech, or financial services
- Experience working with structured and semi-structured data; exposure to NLP or document classification is a plus.
- Understanding of model development lifecycle, including training, validation, and deployment.
- Familiarity with data privacy and compliance considerations (e.g., ECOA, CCPA, GDPR) is preferred.
- Strong communication skills and ability to present findings to technical and non-technical audiences.
- Proficiency in Python (e.g., scikit-learn, pandas), SQL, and familiarity with ML frameworks like TensorFlow or PyTorch.
Benefits
- Health insurance
- Retirement plans
- Paid time off
- Flexible work arrangements
- Professional development
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
machine learningstatistical toolsrisk scoringchurn predictionsegmentationdocument classificationsupervised learningclusteringnatural language processingmodel development lifecycle
Soft Skills
communication skillscollaborationknowledge sharingproblem solvingpresentation skills
Certifications
Masters in engineeringPhD in engineeringMasters in mathPhD in mathMasters in statisticsPhD in statisticsMasters in economicsPhD in economics