job
Information Technology
Hybrid
Sponsorship Not Stated

Staff Data Scientist

Marshmallow
Germany
Verified OpportunityChecked by PathwayAI staff.

Role Summary

Join Marshmallow as a Staff Data Scientist, leading advancements in claims automation through innovative machine learning and generative AI solutions.

Minimum Requirements

  • You think in systems: you can connect the dots between data science, engineering, and product to shape scalable solutions that build on each other over time.
  • You're confident in challenging assumptions and pushing for the right approach, using strong communication skills to influence stakeholders across seniority levels and disciplines with clear, pragmatic reasoning.
  • You thrive in ambiguity and change, staying resilient and effective during transitions while bringing structure, clarity, and momentum to complex problem spaces.
  • You're motivated by real-world impact, partnering closely with cross-functional teams to drive meaningful automation and better customer outcomes across the claims journey.
  • Significant commercial 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 Generative AI systems in production (not just prototypes), including evaluation, safety/quality considerations, and integration into customer or operational workflows
  • Strong statistical and modelling foundation, with experience in risk-based decisioning under uncertainty (e.g., fraud, credit, insurance, or other regulated domains)
  • Proven ability to influence technical direction across Data Science and Engineering, including shaping scalable model/service integration patterns and challenging proposals to drive robust, long-term solutions
  • Strong stakeholder management skills, with confidence communicating trade-offs and pushing back constructively with Product and Engineering to ensure high-quality outcomes

Working Conditions

  • Bonus scheme designed to reward high performance
  • Private medical insurance with Vitality, mental health support with Oliva
  • Personal learning budget and 2 dedicated L&D days a year
  • Monthly flexible benefits budget to spend as you choose
  • 25 days holiday plus bank holidays
  • 4 weeks Work From Anywhere per year

Eligibility Criteria

Open to candidates with relevant experience in data science and machine learning, but specifics on visa sponsorship are unclear.

Exp. LevelNot specified
EducationNot specified

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Published On
August 12, 2026
Application Deadline
Ongoing / No specific deadline
Location
London
Employment Type
Full Time • Hybrid
Source
Arbeitnow
Last verified: August 18, 2026
Degree Level
Master's
Visa Sponsorship
Sponsorship Information Not Stated
Africa Eligibility
International — African Eligibility Unclear
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