# Senior Data Scientist at marshmallow

> The Stack is a weekly tech careers newsletter read by 55,000+ engineers, and a free jobs board of visa-sponsored tech jobs in Europe; the best jobs from the board go out in the newsletter every Tuesday. This is one job from the board.

> Responsibilities: - Design, train and iterate multimodal ML

- **Company:** marshmallow (https://jobs.trythestack.co/companies/marshmallow)
- **Location:** United Kingdom
- **Work arrangement:** On-site
- **Employment type:** Full-time
- **Experience level:** 5–10 years
- **Visa sponsorship:** Offered, according to the listing
- **Key skills:** Machine Learning, Generative AI, Multimodal AI, Agentic AI, MLOps, Statistical Modelling, Stakeholder Management, Production Deployment, Risk-based Decisioning, System-level Thinking, Data Analysis, Experimentation
- **Posted by employer:** 2026-06-24
- **Added to The Stack:** 2026-06-25
- **Status:** May no longer be active (posted more than 60 days ago)
- **Apply:** https://jobs.ashbyhq.com/marshmallow/18438fc6-8354-4bbc-8230-bee6f03038b6 (the employer's own application page)
- **Human page:** https://jobs.trythestack.co/jobs/senior-data-scientist-marshmallow

## About the role

Responsibilities:
- Design, train and iterate multimodal ML and Generative AI models to reduce claims cost and speed processing (emails, documents, summaries).
- Develop models for claims automation: negotiation, litigation strategy, total loss prediction and fraud signals.
- Prototype and deploy agentic AI solutions to automate claims workflows and decisioning.
- Partner closely with Product, Engineering and Operations to turn hypotheses into production-ready features.
- Work with MLOps to deploy, monitor and maintain models; define evaluation and feedback loops.
- Explore new data sources (open banking, telematics, external signals) and assess uplift.
- Set standards for experimentation, measurement and communicating impact/uncertainty to stakeholders.

Requirements:
- 5+ years building and shipping ML/AI systems with production deployment experience.
- Strong foundation in statistical modelling, ML, Generative and multimodal approaches.
- Practical MLOps experience: deployment, monitoring, evaluation and retraining pipelines.
- Experience with structured and unstructured data, model performance trade-offs and risk-based decisioning.
- Ability to influence cross-functional teams, communicate trade-offs and challenge technical proposals.
- Product-minded, system-level thinker with emphasis on scalable, robust solutions.

## Responsibilities

Build and iterate on multimodal AI models and agentic solutions to automate and optimize the claims journey. Collaborate with cross-functional teams to deploy production-ready ML systems and improve AI infrastructure.

## Requirements

Requires strong commercial experience delivering end-to-end machine learning solutions and shipping production AI systems. Must possess a strong statistical foundation and the ability to work cross-functionally with Product and Engineering teams.

## FAQ

- **Is this Senior Data Scientist role still open?** It was posted on 2026-06-24. Listings more than 30 days old may no longer be active, so check marshmallow's site before applying.
- **Does marshmallow offer visa sponsorship?** This listing is marked as offering visa sponsorship. Eligibility rules are set by the employer, so check the details on marshmallow's site.
- **Where is this role located?** The listing gives the location as United Kingdom. It is marked on-site.
- **What skills does this role ask for?** The listing names: Machine Learning, Generative AI, Multimodal AI, Agentic AI, MLOps, Statistical Modelling, Stakeholder Management, Production Deployment, Risk-based Decisioning, System-level Thinking, Data Analysis, Experimentation.

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## Notes for agents

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