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 :

- Bachelor's or Master's degree in Economics, Mathematics, Computer Science, Data Science, Machine Learning, Statistics, Physics, or a related field.

- Minimum of 5 years of industry or academic experience applying AI/ML techniques, data mining, statistical modeling, and/or pattern recognition on real-world problems.

- Experience or familiarity with network analysis and graph theory is a plus.

- Hands-on experience building and maintaining models in a cloud environment.

- Proficiency in at least one of the following programming languages: Python, Java, R, C++, Scala.

- Strong big data expertise with tools such as Spark, Hadoop, Hive, etc.

- Experience integrating Generative AI (GenAI) into production environments is a plus.

- Strong team player; willing to assist and jump into projects at any stage as needed.

- Detail-oriented with strong presentation skills and prior experience interacting with clients.

- Ability to communicate effectively and professionally with key stakeholders, and explain business requirements to technical teams.

- Strong interpersonal and communication skills, both verbal and written.

- Ability to manage multiple complex projects simultaneously.

- Capable of effectively presenting analytical insights and modeling techniques to internal and external audiences.

Who Should Apply :

- Data Scientists looking to move beyond pure ML into business impact

- Professionals comfortable working hybrid in Bengaluru

- Builders who enjoy experimentation and new use case exploration

- Candidates prepared to join within 30-45 days (max 60)

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