Marshmallow

4 weeks ago

Senior Data Scientist

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 3 hours agoStatus: Live

Job Summary

Senior Data Scientist in Marshmallow's Data Science team focusing on Claims, combining traditional ML and Generative AI to automate and improve the claims journey. You’ll design scalable, production-ready models, work cross-functionally with Product, Engineering and Operations, and drive measurable impact through automation and improved decisioning.

Location: London

Workplace: Hybrid

Employment Type: Full time

Job Function: Data Science & Machine Learning

Key Responsibilities

•Build and iterate on multimodal AI models that reduce claims cost and improve claims processing, including models that analyse emails, documents, and claim summaries for operational teams.
•Develop machine learning models that support claims automation, including use cases such as negotiation strategies, litigation strategies, and total loss prediction.
•Explore and evaluate new data sources that could improve model performance and decision-making, such as fraud signals, open banking, and telematics data.
•Design and build agentic AI solutions to automate and streamline claims workflows.
•Collaborate closely with Product, Data, and Engineering teams to test hypotheses, develop new features, and turn ideas into production-ready solutions.

Pay and Benefits

Perks:Health InsuranceLearning BudgetPaid LeaveRemote Work

Key Requirements

•Strong experience delivering end-to-end machine learning solutions from problem framing and experimentation through to production deployment and ongoing monitoring.
•Hands-on experience building and shipping production AI or machine learning systems, including evaluation, quality considerations, and integration into operational workflows.
•Experience working on applied problems involving structured and unstructured data, with an interest in multimodal modelling and AI systems.
•A strong statistical and modelling foundation, with experience working on risk-based decisioning or other complex, uncertain problem domains.
•Proven ability to work cross-functionally with Product, Engineering, Operations, and MLOps to deliver scalable solutions.

Skills:CommunicationStakeholder managementProblem-solving

Languages:English

Tech Stack:PythonMLMLOps

Eligibility

Work Authorization:Sponsorship available.

Company Brief

Marshmallow

Marshmallow is a UK-based insurtech that provides tech-driven motor insurance and financial products focused on migrants and underserved customers, using data and underwriting technology to offer fairer pricing and expand into wider financial services.

Industry: InsurTech

Company Size: Large (251 to 1,000 employees)

Revenue: USD 100M to 250M

Growth: Scaleup

Valuation: Unicorn (USD 1B+)

Headquarters: London, United Kingdom

Founded: 2017

Glassdoor: 3.4

Website LinkedIn Glassdoor

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Marshmallow

4 weeks ago

Senior Data Scientist

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 3 hours agoStatus: Live

Job Summary

Location: London

Workplace: Hybrid

Employment Type: Full time

Job Function: Data Science & Machine Learning

Key Responsibilities

•Build and iterate on multimodal AI models that reduce claims cost and improve claims processing, including models that analyse emails, documents, and claim summaries for operational teams.
•Develop machine learning models that support claims automation, including use cases such as negotiation strategies, litigation strategies, and total loss prediction.
•Explore and evaluate new data sources that could improve model performance and decision-making, such as fraud signals, open banking, and telematics data.
•Design and build agentic AI solutions to automate and streamline claims workflows.
•Collaborate closely with Product, Data, and Engineering teams to test hypotheses, develop new features, and turn ideas into production-ready solutions.

Pay and Benefits

Perks:Health InsuranceLearning BudgetPaid LeaveRemote Work

Key Requirements

•Strong experience delivering end-to-end machine learning solutions from problem framing and experimentation through to production deployment and ongoing monitoring.
•Hands-on experience building and shipping production AI or machine learning systems, including evaluation, quality considerations, and integration into operational workflows.
•Experience working on applied problems involving structured and unstructured data, with an interest in multimodal modelling and AI systems.
•A strong statistical and modelling foundation, with experience working on risk-based decisioning or other complex, uncertain problem domains.
•Proven ability to work cross-functionally with Product, Engineering, Operations, and MLOps to deliver scalable solutions.

Skills:CommunicationStakeholder managementProblem-solving

Languages:English

Tech Stack:PythonMLMLOps

Eligibility

Work Authorization:Sponsorship available.

Company Brief

Marshmallow

Industry: InsurTech

Company Size: Large (251 to 1,000 employees)

Revenue: USD 100M to 250M

Growth: Scaleup

Valuation: Unicorn (USD 1B+)

Headquarters: London, United Kingdom

Founded: 2017

Glassdoor: 3.4

Website LinkedIn Glassdoor