Senior Data Scientist - Machine Learning

Work Mode : Hybrid (2-3 days / week office)

About the Role :

We are seeking a results-focused Data Science Professional to design, build, and scale analytical solutions across Insurance, Finance, and Risk platforms for a global product suite. In this role, you will collaborate closely with cross-functional product and engineering teams to identify high-impact business problems, build predictive models, and translate insights into meaningful business outcomes.

Key Responsibilities :

• Diagnose model performance issues; research, test, and implement alternative approaches; prepare supporting analyses; and deploy improved solutions.
• Conduct complex statistical analyses on real estate, mortgage, and insurance-related datasets.
• Apply machine learning and data mining techniques to identify patterns from large and complex data sources.
• Build forecasts and predictive models based on economic, behavioral, and other relevant factors.
• Prepare, maintain, and document programs, modeling scripts, and analytical processes.
• Perform modeling and analysis using various data mining, machine learning, statistical, and mathematical methodologies.
• Drive the re-engineering and enhancement of current production models and prototype solutions as needed.
• Lead and independently manage quantitative and qualitative research projects end-to-end.
• Assess, interpret, and communicate research findings to internal stakeholders.
• Understand business requirements and conceptualize analytical solutions tailored to address those needs.
• Collaborate regularly with cross-functional teams to research, define, and implement scalable analytic solutions across the organization.
• Troubleshoot a wide range of complex analytical and modeling problems and drive them to resolution.
• Research and evaluate emerging GenAI best practices, and apply relevant solutions to new or evolving business challenges.

Required Qualifications :

Who Should Apply :

Note : Hybrid role - candidates must be willing to work onsite in Bengaluru 2-3 days / week.

(ref : hirist.tech)