Underwriter Data Scientist - Industrial risks Job at Descartes Underwriting (Paris)

Lead Data Scientist

Prism is seeking a Lead Data Scientist who will make high-impact, hands-on contr...

Location

United States , NYC or San Diego (La Jolla/UTC)

Salary:

140000.00 - 160000.00 USD / Year

Prism Data

Expiration Date

Until further notice

Requirements

Bachelor’s degree in Statistics, Data Science, Math, Industrial Engineering, or similar quantitative discipline required
4+ years of experience as a Data Scientist or Statistician, preferably in credit risk or financial services
Research & development of new attributes, models, decision strategies, and/or analytic capabilities
Customer-facing testing of data or analytic solutions (e.g., credit risk scores, alternative data, fraud prevention, etc.)
Collaboration with business teams to understand and address business problems
Modeling experience in the latest AI and machine learning approaches
Mastery of rudimentary modeling approaches (e.g., regression, decision trees)
Knowledge of data labeling/categorization, feature development and selection, model design and training, testing, coding, implementation, monitoring, and governance
Financial services industry data expertise, including types of data sources applicable to different types of business decisions based on regulatory factors
Experience evaluating alternative statistical approaches, including review of academic papers on new techniques and ideas, and justifying which approach is best suited for which problems and why

Job Responsibility

Maintain and advance existing analytical product suite
Enhance core cash flow underwriting offerings as new data elements become available
Develop next-generation versions of products to boost stability, predictive accuracy, and relevancy to emerging use cases
Develop new products for new market opportunities using novel data assets
Demonstrate best practices in transparent modeling approaches to enable easy client adoption
Support sales, revenue attainment, and thought leadership
Conduct proof of concept analyses of the efficacy of Prism products in the context of clients’ business problems, and present results and insights
Support new and existing clients by guiding them on score cutoffs and the use of powerful custom attribute sets for their business
Educate clients on technical product knowledge
Contribute analysis to thought leadership content delivered by Prism executives in white papers and industry conferences

What we offer

medical
dental
vision
401(k)
equity-based compensation

Fulltime

Senior Data Scientist

Due to rapid growth, at the core of our company’s strategy, we are seeking a Sen...

Location

France , Paris

Salary:

Not provided

Descartes Underwriting

Expiration Date

Until further notice

Requirements

Graduated from a leading academic institution with a degree in mathematics, statistics, data science, physics or related
4 years of significant experience minimum (post graduation) in data science or related
Proven track record in leading cross-organisational projects involving a variety of stakeholders
Proficiency in Python (e.g. pandas, scikit-learn)
Strong background in statistics and mathematics, showing clear understanding of probabilities
Eye for quality, autonomous and attention to detail
Communication of complex technical topics to a business-oriented audience
Fluency in English (written and verbal communication) is required
Interested in insurance industry and climate risks modeling
Strong team spirit

Job Responsibility

Collaborate with the business team and brokers to understand client needs and risk transfer challenges to successfully underwrite new business and renew accounts
Conduct thorough analyses for product design and coverage structuring in order to meet the needs and expectations of the clients
Improve and develop pricing models in order to model the risk, underwrite policies for corporates and public entities, and monitor the portfolio performance and accumulation
Contribute to insurance proposal and underwriting documentation in order to finalise policies for corporate clients and public entities worldwide
Contribute to & lead cross-organisational initiatives with various divisions of Descartes in order to support the growth and scalability efforts of the company (e.g. Software & Data Engineers, R&D teams, Strategy, Legal, Operations & Risk Management)
Technical & Business Leadership: help both the underwriting strategy and the review of the work conducted by Underwriting Data Scientists, providing guidance on technical modeling matters & business requirements

What we offer

Opportunity to work and learn with teams from the most prestigious schools and research labs in the world, allowing you to progress towards technical excellence
Commitment from Descartes to its staff of continued learning and development (think annual seminars, training etc.)
Work in a collaborative & professional environment
Be part of an international team, passionate about diversity
Join a company with a true purpose – help us help our clients be more resilient towards climate risks
A competitive salary, bonus and benefits
You can benefit from punctual home office days

Data Scientist

Due to rapid growth, at the core of our company’s strategy, we are seeking to ex...

Location

France , Paris

Salary:

Not provided

Descartes Underwriting

Expiration Date

Until further notice

Requirements

Graduated from academic institutions/universities with a specialization in computer science, applied mathematics, climate, meteorological studies or data science for business
Ideally a previous experience (long-term internship) in data science, insurance or climate data modeling
Proficient in statistics, probabilities, applied mathematics and machine learning methods
Proficient in Python (e.g. pandas, scikit-learn)
Excellent communication (written and verbal)
Fluency in English (written and verbal communication) is required
Good command of one additional language (e.g. Chinese, French, Italian, German, Spanish…) is valued
Eager to learn more on the insurance industry
Interested in weather and natural perils modelling (wildfires, hail, tsunamis, earthquakes...)
Excellent team player with an entrepreneurial mindset

Job Responsibility

Conducting structuring work, risk analysis and insurance proposal for worldwide public sector and corporate clients
Discussing business opportunities with Descartes’ partners and being responsible for technical documentation and insurance contracts redaction
Collaborating with the business team to understand client needs and issues to further improve our product offering
Participating in the development of Descartes’ technological platform to differentiate Descartes from its competitors (models and pricing tools)
Working autonomously and pragmatically to make appropriate technical decisions with attention to details
Developing new models to improve our understanding of climate risks
Conducting research and identifying new and innovative ideas on the modeling of climate risks and machine learning methods
Testing state-of-the-art methods from scratch based on recent research articles
Collaborating with the Underwriting, Business and Software teams to ensure our products are efficiently integrated into the underwriting process and meet our client’s needs

What we offer

Opportunity to work and learn with teams from the most prestigious schools and research labs in the world, allowing you to progress towards technical excellence
Commitment from Descartes to its staff of continued learning and development (think annual seminars, training etc.)
Work in a collaborative & professional environment
Be part of an international team, passionate about diversity
A competitive salary, bonus and benefits
You can benefit from a punctual home office days

Senior Business Analyst

Jeeves is a groundbreaking financial operating system built for global businesse...

Location

Colombia , Bogotá

Salary:

Not provided

Jeeves

Expiration Date

Until further notice

Requirements

4+ years in analytics within credit risk management
Fluent in English
Excellent written and verbal communication skills
Intellectual curiosity
Experience in commercial credit risk, specifically within credit cards, payments, lending, or related industries
Proven ability to translate complex data and model results into actionable business strategies
Experience utilizing alternative data sources
Advanced proficiency in SQL and Excel
Experience using Python or R for data analysis and statistical modeling (regression, clustering, etc.)

Job Responsibility

Lead the development of best in class data-driven credit policies and business strategies: Leverage external (e.g. banking, tax, financial, credit bureau and other data) and internal performance data to develop credit policies (e.g. underwriting criteria, dynamic credit limit programs, etc.)
Minimize credit loss by developing and implementing appropriate processes and procedures to identify and mitigate high risk customers
Design and implement data-driven strategies for customer management, including policies for credit line increases, decreases, and line reinstatements
Work closely with the sales and business development teams to support business growth strategies that preserve effective underwriting and ensure the appropriate application of Jeeves’ credit policy
Deliver advancements in data and analytics: Contribute to the development of a data and analytics framework to improve processing, underwriting, tracking, risk management, and reporting procedures
Design and execute data driven analyses and tracking procedures to enhance insights on credit risk for individual, and the portfolio of companies
Leverage predictive statistical methodologies (e.g., linear/logistic regression, segmentation analysis) to draw insights and develop business strategies
Partner with data scientists to build and leverage credit risk models to optimize credit policies and improve business performance
Improve credit monitoring and governance: Define key performance indicators (KPIs) for credit portfolios
build dashboards to monitor portfolio health and strategy performance

Fulltime

Lead Data Scientist

Prism Data is building the future of credit risk assessment using modern data sc...

Location

United States , NYC or San Diego (La Jolla/UTC)

Salary:

150000.00 - 195000.00 USD / Year

Prism Data

Expiration Date

Until further notice

Requirements

Bachelor’s degree in Statistics, Data Science, Math, Industrial Engineering, or similar quantitative discipline required
Master’s or PhD is a plus
4+ years of experience as a Data Scientist or Statistician, preferably in credit risk or financial services
Research & development of new attributes, models, decision strategies, and/or analytic capabilities
Customer-facing testing of data or analytic solutions (e.g., credit risk scores, alternative data, fraud prevention, etc.)
Cash flow underwriting analytics experience is a strong plus
Collaboration with business teams to understand and address business problems
Modeling experience in the latest AI and machine learning approaches
Mastery of rudimentary modeling approaches (e.g., regression, decision trees)
Expertise building Gradient Boosting models is a plus

Job Responsibility

Maintain and advance existing analytical product suite
Enhance core cash flow underwriting offerings as new data elements become available
Develop next-generation versions of products to boost stability, predictive accuracy, and relevancy to emerging use cases
Develop new products for new market opportunities using novel data assets
Demonstrate best practices in transparent modeling approaches to enable easy client adoption
Support sales, revenue attainment, and thought leadership
Conduct proof of concept analyses of the efficacy of Prism products in the context of clients’ business problems, and present results and insights
Support new and existing clients by guiding them on score cutoffs and the use of powerful custom attribute sets for their business
Educate clients on technical product knowledge
Contribute analysis to thought leadership content delivered by Prism executives in white papers and industry conferences

What we offer

Equity-based compensation
Comprehensive benefit plan, including medical, dental, vision, and 401(k)

Fulltime

Credit Risk Associate

As a member of Ramp's Risk Strategy & Operations team, you will leverage data to...

Location

United States , New York, NY; San Francisco, CA

Salary:

108300.00 - 165450.00 USD / Year

Ramp

Expiration Date

Until further notice

Requirements

Minimum 2 years of experience in credit risk management or quantitative strategy role
Minimum 2 years of experience using SQL or Python for data retrieval and manipulations
Experience within consumer/corporate/small business cards, payments, lending, or related industries
Excellent written and verbal communication skills

Job Responsibility

Leverage internal and external data to create best in class credit policies
Understand Ramp’s exposure to risk across multiple products to create holistic underwriting and risk management strategies
Investigate and evaluate efficiency of risk policies, procedures, and processes
Analyze market and industry trends, identify potential macroeconomic risk factors and incorporate in credit policy
Partner with product, engineering and design teams to execute credit policies, improve operational tooling, and shape the risk management infrastructure
Partner with data scientists to build and leverage credit risk models in Ramp’s credit policy
Partner with finance teams to create and maintain risk adjusted returns framework, including loss forecasting

What we offer

100% medical, dental & vision insurance coverage for you
Partially covered for your dependents
One Medical annual membership
401k (including employer match on contributions made while employed by Ramp)
Flexible PTO
Fertility HRA (up to $10,000 per year)
Parental Leave
Unlimited AI token usage
Pet insurance
Centralized home-office equipment ordering for all employees

Fulltime

Data Scientist / Senior Data Scientist

Berkshire Hathaway Specialty Insurance (BHSI) has an exciting opportunity for Da...

Location

United States , Atlanta, GA/Boston, MA/San Ramon, CA

Salary:

100000.00 - 160000.00 USD / Year

Berkshire Hathaway Specialty Insurance

Expiration Date

Until further notice

Requirements

Ph.D. or M.S. in data science, civil engineering, atmospheric science, actuarial science, computer science, mathematics, or a related field
3-6 years of industry experience is preferred and required for the Senior Data Scientist level role
Advanced knowledge of probability theory, statistics, and machine learning methods is required
Practical experience in insurance, catastrophe model development, cyber and casualty risk modeling, and/or exposure data collection is preferred
Experience applying advanced statistical techniques and machine learning to large data sets, especially in areas of structural performance, natural catastrophe hazard, building exposure data, geospatial data, or insurance claims data
Familiarity with large language models (LLMs), retrieval-augmented generation (RAG), and their application in data-driven workflows is a plus
Strong written and verbal communication skills
Strong programming skills in Python (preferred), R, and SQL
Experience and understanding of relational and non-relational databases preferred
Comfort working within git-based version-control environments

Job Responsibility

Evaluate and develop insights into large and diverse data sets from claims, hazard models, structural analysis, geospatial sources, and various other public/proprietary datasets
Develop and maintain expertise in advanced data science, machine learning, and artificial intelligence techniques, and their application to understanding risk
Work with domain experts across teams and perils to enhance our use of available data
Propose and execute innovative solutions to insurance problems that directly impact BHSI underwriting decisions

What we offer

Comprehensive Health, Dental and Vision benefits
Disability Insurance (both short-term and long-term)
Life Insurance (for you and your family)
Accidental Death & Dismemberment Insurance (for you and your family)
Flexible Spending Accounts
Health Reimbursement Account
Employee Assistance Program
Retirement Savings 401(k) Plan with Company Match
Generous holiday and Paid Time Off
Tuition Reimbursement

Fulltime

AI Product Owner

Beazley’s data reflects the complexity of our business. We are committed to buil...

Location

United Kingdom , Birmingham

Salary:

Not provided

Social Value Portal Ltd

Expiration Date

Until further notice

Requirements

Stakeholder influence, structured problem-solving, commercial acumen, clear communication, and change leadership
Domain Expertise: Strong understanding of the specialist area (Ops/Reg, Dist/Marketing, or Policy/Claims) and adjacent functions (pricing, risk, finance)
Detailed knowledge of business and technology issues / opportunities related to insurance, data and AI
Strong understanding of data management principles, data governance, and analytics
Experience in Agile product development and backlog management
Degree in Data Science, Computer Science, Business Analytics, or related field
advanced degree desirable
Demonstrable experience of AI product delivery / ownership within insurance or financial services
Strong understanding of AI/ML concepts, model lifecycle, and MLOps
Knowledge of ethical AI principles and regulatory frameworks

Job Responsibility

Define and communicate the vision, goals, and roadmap for AI products
Align AI initiatives with business strategy and regulatory compliance
Work with Head of AI to establish AI CoE and drive platform / product capability in collaboration with federated analytics teams in Finance, Underwriting, Actuarial and Claims
Own and prioritize the AI product backlog, balancing short-term delivery with long-term strategic goals
Translate business problems into AI use cases with clear actionable user stories and acceptance criteria
Ensure delivery practices (Agile/Scrum/Kanban), NFRs (performance, governance, resilience, privacy-by-design), and control frameworks (quality, metadata, lineage) are embedded
Drive delivery of AI products through agile ceremonies (sprint planning, reviews, retrospectives)
Monitor KPIs and value metrics to ensure AI products deliver measurable outcomes (e.g., loss ratio improvement, leakage reduction, NB premium, campaign ROI uplift, cycle-time reduction)
Maintain product-level scorecards and dashboards tracking usage, quality, SLA performance, and business impact
Manage seamless AI product integration into Value streams (martech/Claims, etc) and Change initiatives (Modernisation, Underwriting Transformation, etc.)

What we offer

Attractive base compensation and discretionary performance related annual bonus
Private medical insurance coverage for both you and your dependents
Company paid life assurance and long term disability insurance
Pension with 10% employer contribution, plus a further matched contribution up to 2.5%
25 days of annual leave (prorated for 1st calendar year of employment), plus public holidays, with the ability to flex the religious bank holidays to suit your religious beliefs, subject to approval
Additional annual leave purchase is also available up to a maximum of five additional days per year
Up to 2.5 days matched paid leave for volunteering at a charity of your choice and 5 days paid leave to provide or arrange care for a dependent with a long term care need annually
Up to £550 reimbursement towards home office setup
Free in-office lunch and monthly lifestyle allowance
Monthly travel allowance or annual season ticket

Fulltime

Underwriter Data Scientist - Industrial risks

Descartes Underwriting

Location:
France , Paris

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Nice to have:

Additional Information:

Job Posted:
December 08, 2025

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