Applied Data Scientist (Specialty Insurance)

Posted 10 Hours Ago
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London, Greater London, England, GBR
In-Office
Mid level
Insurance
The Role
Apply advanced analytics and modelling to improve risk selection, pricing, and claims insight for specialty insurance lines. Build, validate, and explain models for low-frequency, high-severity risks; engineer features from diverse datasets; collaborate with underwriting, pricing, claims, and engineers to deploy, monitor, and embed analytics into decision-making.
Summary Generated by Built In

Job Title:          Applied Data Scientist (Specialty Insurance)

Reporting to:   Head of Pricing

Stakeholders: Underwriting, Claims, Pricing, IT/Data Position Type:

Why Tokio Marine HCC?

Standing still is not an option in the current world of Insurance. TMHCC are one of the world’s leading Specialty Insurers. With deep expertise in our chosen lines of business, our unparalleled track record and a solid balance sheet, TMHCC evaluates and manages risk like no one else in the industry. Looking beyond profit, empowering our people and delivering on our commitments are at the core of our customer values, and so is a desire to grow and provide creative and innovative solutions to our clients.

Job Purpose:

The role will apply advanced analytics and modelling to improve risk selection, pricing decisions, and claims insight across speciality insurance lines (e.g. Renewables, D&O, Credit and Marine).

This role sits at the intersection of underwriting judgement, actuarial thinking, claims insight, and modern data science. It focuses on practical impact - building insights, tools and models that are understood, trusted and used by the business.

The first 12 months will involve a secondment into the Innovation team, helping shape a cross-line analytics capability that strengthens decision-making across the underwriting lifecycle.

Key Responsibilities:

  • Partner with underwriting, pricing, and claims teams to frame complex business problems where data is incomplete, judgement is central, and risk characteristics are heterogeneous.
  • Design, develop, validate, and explain models appropriate for low-frequency, high-severity specialty risks, with particular focus on improving risk selection and portfolio quality.
  • Engineer and test features derived from underwriting, exposure, claims, financial, catastrophe, ESG, and external datasets.
  • Translate analytical outputs into clear decision support, explicitly communicating uncertainty, assumptions, and limitations.
  • Support experimentation in pricing and risk assessment approaches while maintaining defensibility and alignment with governance expectations.
  • Collaborate with data engineering and application developer colleagues to support deployment, monitoring, and scaling where production use is appropriate.
  • Contribute to the development of a consistent, cross-line analytics capability embedded within Pricing and Innovation.

Key Deliverables

  • Underwriters, pricing teams, and claims colleagues actively use and trust data science outputs to improve risk selection and portfolio outcomes.
  • Models and insights are explainable, defensible, and aligned with underwriting logic and regulatory expectations.
  • Clear collaboration patterns exist between data scientists, actuaries, underwriters, and engineers.
  • A credible analytics capability is embedded across specialty lines.

Skills and Experience Specification:

Hard Skills

  • Strong applied data science capability (using Python/R to apply statistical modelling and machine learning techniques) including model design, feature engineering, validation, version control and documentation, with key focus on transparency and explainability throughout.
  • Sound statistical and analytical foundations (probability theory, GLMs, time series analysis) and comprehensive understanding of modern machine learning techniques and modelling approaches (e.g. random forest, XGBoost, GBMs).
  • Experience working with complex, sparse, or imperfect datasets.
  • Solid SQL, data handling and data visualisation skills.

Soft Skills

  • Ability to navigate ambiguity and structure loosely defined business problems.
  • Commercial judgement and ability to balance sophistication with practicality.
  • Clear and pragmatic communicator, able to build trust in data-driven decision support.
  • Strong stakeholder engagement skills across underwriting, pricing, claims, and senior management.
  • Ability to work effectively with data and software engineers.
  • Curiosity and adaptability across different specialty classes and risk cultures.

What We Offer

 The Tokio Marine HCC Group of Companies offers a competitive salary and employee benefit package. We are a successful, dynamic organization experiencing rapid growth and are seeking energetic and confident individuals to join our team of professionals.

The Tokio Marine HCC Group of companies is an equal opportunity employer.  Please visit www.tmhcc.com for more information about our companies.

#LI-NW1 #Hybrid

Skills Required

  • Proficiency in Python or R for statistical modelling and machine learning
  • Experience with model design, feature engineering, validation, version control and documentation
  • Strong statistical foundations (probability theory, GLMs, time series analysis)
  • Familiarity with modern machine learning techniques (random forest, XGBoost, GBMs)
  • Experience working with complex, sparse, or imperfect datasets
  • Solid SQL, data handling and data visualisation skills
  • Ability to communicate uncertainty, assumptions, and model limitations clearly to stakeholders
  • Experience collaborating with data engineers and application developers for deployment and monitoring

Tokio Marine Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Tokio Marine and has not been reviewed or approved by Tokio Marine.

  • Healthcare Strength Medical options include established carriers with PPO and HDHP choices, plus dental, vision, pharmacy, telehealth, and condition‑specific programs for comprehensive access. An employee assistance program and mental‑wellbeing resources further reinforce day‑to‑day support.
  • Retirement Support A 401(k) with company match and employer‑paid life and disability coverage strengthen long‑term financial security. Careers materials and recent updates signal continued attention to retirement and protection benefits.
  • Wellbeing & Lifestyle Benefits Wellness incentives, fitness access, and a holistic “body, mind, wallet, life” framework expand total‑rewards value beyond insurance alone. Paid volunteer time and community programs add lifestyle‑oriented benefits aligned with purpose.

Tokio Marine Insights

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The Company
Houston, Texas
2,600 Employees

What We Do

Tokio Marine HCC can help you or your clients be prepared for unpredictable weather patterns. Event weather insurance protects revenue losses caused by adverse weather conditions that reduce attendance and the sales of concessions, food and parking.

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