Senior Data Scientist

MSIG USA continues to grow! 

Company Overview:

MSIG USA is the US-based subsidiary of MS&AD Insurance Group Holdings, Inc., one of the world’s top P&C carriers and a global Class 15 insurer, with A+ ratings and a reach that spans 40+ countries and regions. Leveraging our 350-year heritage, MSIG USA brings the financial strength, expertise, and global footprint to offer commercial insurance solutions that address your business’s unique risks.

Summary/Job Purpose:

Part of the MS&AD group – one of the world’s top 10 P&C carriers – MSIG USA is building a data-driven specialty insurance business focused on ambitious and profitable growth. Our Insurance Analytics function is at the heart of this transformation – delivering analytics and data science solutions that shape decisions across Underwriting, Pricing/Actuarial, and Claims, including predictive modeling, statistical analysis, and implementation of analytics into repeatable decision support and workflows.

This role is a senior, hands-on individual contributor who leads complex analytics and data science initiatives end-to-end – from shaping problem statements with stakeholders through delivery, adoption, and measurement – producing practical solutions that drive business outcomes.

Responsibilities

• Delivered multiple high-impact analytics/data science initiatives end-to-end (problem framing, modeling/experimentation, operationalization) with measurable outcomes and clear stakeholder adoption.
• Shipped at least one reusable analytics asset (model, scoring approach, or decision-support tool) that is actively used in a business workflow and monitored appropriately.
• Established strong cross-functional partnerships (Underwriting, Pricing/Actuarial, Claims) and a clear measurement approach for value/benefit estimation.
• Raised quality standards through reproducible code, documentation, and review practices appropriate to the use case.
• Lead end-to-end analytics and data science initiatives
• Lead initiatives end-to-end: problem framing, analytic design, data needs, modeling, validation, documentation, implementation into repeatable decision support, and iteration.
• Define success metrics and measurement plans (including benefit estimation) and ensure outputs are interpretable, actionable, and adopted.
• Design and execute experiments and tests (as appropriate to the use case) to evaluate interventions, quantify impact, and support decision-making.
• Partner with Underwriting, Pricing/Actuarial, Claims, and leaders to identify opportunities, align on tradeoffs, and drive adoption.
• Write and review high-quality code (Python and SQL); build reusable analytics assets; apply production-minded practices (testing/controls, versioning, documentation, reproducible code).
• Develop and deploy solutions in a cloud-based analytics environment, partnering with platform and engineering teams to operationalize outputs into business workflows.
• Establish monitoring expectations appropriate to the solution (e.g., usage/adoption, data quality, and model performance) and drive continuous improvement based on signals.
• Educate stakeholders on model/analysis intent, limitations, and appropriate use; provide practical documentation and tooling to support implementation.
• Mentor teammates through technical review, method guidance, and coaching on structuring work for delivery.
• Communicate to technical and non-technical audiences; translate findings into recommendations, decisions, and tradeoffs.

Supervisory Responsibilities:

This position may provide oversight and guidance to junior resources on a project-by-project basis (technical mentorship, review, and coaching).

Qualifications:

To perform this job successfully, an individual must be able to perform each essential duty. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

Education and Experience Required

• Bachelor’s or Master’s degree in Statistics, Mathematics, Computer Science, Engineering, Economics, or a related field (or equivalent practical experience).7–10+ years of relevant experience in analytics and/or data science with demonstrated ownership of cross-functional initiatives and measurable outcomes.
• Strong proficiency in Python and SQL; ability to deliver and review production-minded analytical code.
• Strong statistical and machine learning foundations; ability to select appropriate methods, validate results, and communicate limitations/assumptions.
• Strong communication and stakeholder management skills; able to drive alignment and adoption across Underwriting, Pricing/Actuarial, and Claims partners.
• Preferred Qualifications
• Commercial insurance domain experience in underwriting, pricing, reserving, or claims analytics (or demonstrated ability to ramp quickly in complex domains).
• Demonstrated experience packaging “last-mile” analytics into repeatable decision support and workflows.
• Experience with experimentation, causal inference, or rigorous measurement approaches in business settings.
• Experience establishing monitoring practices appropriate to the solution (e.g., model performance, data quality, usage/adoption).
• Experience partnering with engineering teams on productionization patterns (e.g., APIs/services, CI/CD, containerization).

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Salary: The base pay range is $140,000.00 - $160,000.00 . Salary determinations are based on various factors, including but not limited to, relevant work experience, skills, certifications and location.
Additional Benefits:  
Healthcare and Retirement Benefits
Comprehensive medical, dental, and vision coverage
401(k) with a generous employer match and profit-sharing contribution
Wellness incentive program
Life and accidental death and dismemberment (AD&D) insurance
Flexible spending programs
Short-term and long-term disability plans
Additional Benefit Programs
Paid time off program
Paid charitable leave
Paid parental leave
Tuition reimbursement program
Personal insurance (auto/homeowners) discounts
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It's an exciting time for our company and a great opportunity to join a financially sound and growing global insurance group!  

It is the policy of MSIG USA to provide equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state or local law. In addition, MSIG USA will provide reasonable accommodations for qualified individuals with disabilities.