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.