▷ [Apply Now] 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.