{
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  "job_city": "London",
  "job_state": null,
  "job_title": "Applied Data Scientist; Specialty Insurance",
  "job_country": "GB",
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  "employer_name": "Tokio Marine HCC",
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  "job_posted_at": "10 hours ago",
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  "job_description": "Position: Applied Data Scientist (Specialty Insurance)\nLocation: Greater London\n\nApplied Data Scientist (Specialty Insurance) page is loaded## Applied Data Scientist (Specialty Insurance) locations:\nUK - London ( St Botolph )time type:\nFull time posted on:\nPosted Todayjob requisition :\n• * Job Title:\n• * Applied Data Scientist (Specialty Insurance)\n• * Reporting to:\n• * Head of Pricing\n• * Stakeholders:\n• * Underwriting, Claims, Pricing, IT/Data Position Type:\n\nStanding 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.\n• * Job Purpose:\n• * 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.\n\nThe 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.\n\nKey Responsibilities:\n• Partner with underwriting, pricing, and claims teams to frame complex business problems where data is incomplete, judgement is central, and risk characteristics are heterogeneous.\n• Design, develop, validate, and explain models appropriate for low-frequency, high-severity specialty risks, with particular focus on improving\n• * risk selection and portfolio quality**.\n• Engineer and test features derived from underwriting, exposure, claims, financial, catastrophe, ESG, and external datasets.\n• Translate analytical outputs into clear decision support, explicitly communicating uncertainty, assumptions, and limitations.\n• Support experimentation in pricing and risk assessment approaches while maintaining defensibility and alignment with governance expectations.\n• Collaborate with data engineering and application developer colleagues to support deployment, monitoring, and scaling where production use is appropriate.\n• Contribute to the development of a consistent, cross-line analytics capability embedded within Pricing and Innovation.\n• * Key Deliverables\n• ** Underwriters, pricing teams, and claims colleagues actively use and trust data science outputs to improve\n• * risk selection and portfolio outcomes**.\n• Models and insights are explainable, defensible, and aligned with underwriting logic and regulatory expectations.\n• Clear collaboration patterns exist between data scientists, actuaries, underwriters, and engineers.\n• A credible analytics capability is embedded across specialty lines.\n• * Skills and Experience Specification:\n• * Hard Skills\n• 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.\n• 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).\n• Experience working with complex, sparse, or imperfect datasets.\n• Solid SQL, data handling and data visualisation skills.\n\nSoft Skills\n• Ability to navigate ambiguity and structure loosely defined business problems.\n• Commercial judgement and ability to balance sophistication with practicality.\n• Clear and pragmatic communicator, able to build trust in data-driven decision support.\n• Strong stakeholder engagement skills across underwriting, pricing, claims, and senior management.\n• Ability to work effectively with data and software engineers.\n• Curiosity and adaptability across different specialty classes and risk cultures.\n• * What We Offer\n• * 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.\n\nThe Tokio Marine HCC Group of companies is an equal opportunity employer. Please visit for more information about our companies.#LI-NW1 #Hybrid\n#J-18808-Ljbffr",
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  "job_employment_type": "Full–time",
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  "job_posted_at_timestamp": 1774656000,
  "job_posted_at_datetime_utc": "2026-03-28T00:00:00.000Z"
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