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Data Science Specialist

Data Science Specialist

talentumHRBengaluru, Karnataka, India
29 days ago
Job description

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.

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    Data Science Specialist • Bengaluru, Karnataka, India

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