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Insurance Pricing Data Scientist

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Onsite

Insurance Pricing Data Scientist

Crescendo Global Leadership Hiring India

Insurance Pricing Data Scientist

Skills

SQL QueriesData MiningPythonData ScienceData Analysis

2 months ago

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Important information


Contract type:

Permanent

Location:

Delhi, India

Work mode:

Onsite

Published on:

28 August 2026

What they need


Insurance Pricing Data Scientist 4+ Years – Gurugram

Summary –

We are looking for an Insurance Pricing Data Scientist with strong experience in P&C/General Insurance, insurance pricing, and hands-on expertise in Python and SQL. The ideal candidate will have a strong technical and analytical mindset, with experience working on pricing models, insurance data, risk analytics, or actuarial analytics.

This is a new Earnix role. Prior experience with Earnix is not mandatory, as selected candidates will receive training on the Earnix platform. Candidates with strong insurance pricing fundamentals and technical capabilities are encouraged to apply.

Location -

Gurugram

Your Future Employer -

A leading global organization offering an opportunity to work on advanced insurance pricing, analytics, and technology-driven solutions.

Responsibilities -

  1. Develop, analyze, and support insurance pricing models using statistical, actuarial, and data science techniques.
  2. Work extensively with Python and SQL for data extraction, cleansing, analysis, modelling, and automation.
  3. Analyze P&C insurance data to identify risk factors, pricing trends, portfolio insights, and business opportunities.
  4. Collaborate with actuarial, analytics, technology, and business teams to translate pricing requirements into analytical solutions.
  5. Learn and work on the Earnix pricing platform through structured training and apply the platform to insurance pricing use cases.

Requirements -

  1. Experience as a Data Scientist, Pricing Analyst, Actuarial Analyst, or similar role within the insurance domain.
  2. Strong hands-on expertise in Python and SQL is mandatory.
  3. Strong understanding of P&C / General Insurance, preferably with experience in insurance pricing.
  4. Exposure to pricing models, statistical modelling, risk modelling, GLM, actuarial analytics, or portfolio analytics will be preferred.
  5. Strong analytical, problem-solving, and communication skills, with the ability to work effectively with technical and business stakeholders.

What is in it for you -

  • Opportunity to work on cutting-edge Insurance Pricing and Data Science projects.
  • Structured training and hands-on exposure to Earnix.
  • Opportunity to work at the intersection of Data Science, Actuarial Science, Insurance, and Technology.
  • Exposure to global insurance pricing practices and analytics.
  • Strong career growth opportunities in insurance analytics and pricing technology.

Reach us -

If this role is aligned with your career aspirations, please share your updated CV at [email protected] for a confidential discussion.

Disclaimer -

Crescendo Global specializes in Senior to C-level niche recruitment. We are committed to equal opportunity and do not discriminate on the basis of race, religion, color, origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

Note -

We receive a lot of applications on a daily basis so it becomes a bit difficult for us to get back to each candidate. Please assume that your profile has not been shortlisted in case you don’t hear back from us in 1 week. Your patience is highly appreciated. Scammers can misuse Crescendo Global’s name for fake job offers. We never ask for money, purchases, or system upgrades. Verify all opportunities at www.crescendo-global.com and report fraud immediately. Stay alert!

Profile Keywords -

Insurance Pricing Data Scientist, Data Scientist Insurance, Insurance Analytics, Insurance Pricing, P&C Insurance, General Insurance, Property & Casualty, Pricing Analyst, Actuarial Analytics, Pricing Models, Python, SQL, Risk Modelling, Statistical Modelling, GLM, Portfolio Analytics, Insurance Data Science, Earnix, Pricing Analytics, Actuarial Pricing

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