Data Science Specialist

Senior Professional – Data Science (Hybrid)

Location: Bengaluru

Experience: 4–6+ Years

Notice Period: 30–45 Days (Max 60 Days)

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

Target CTC: ₹22–25 LPA (flexible within band based on experience)

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.

Compensation capped at ₹25 LPA.