At a Glance
- Tasks: Lead data science initiatives in Claims Fraud, shaping risk decisioning and automation.
- Company: Join Marshmallow, a forward-thinking company transforming the insurance landscape.
- Benefits: Flexible working, competitive bonuses, personal development budgets, and private healthcare.
- Other info: Inclusive culture that values diverse backgrounds and perspectives.
- Why this job: Make a real-world impact by driving automation and improving customer experiences.
- Qualifications: Experience in Machine Learning and Generative AI, with strong stakeholder management skills.
The predicted salary is between 80000 - 100000 € per year.
Data Science at Marshmallow
Our Data Science team partners across the business to turn data into better decisions, smarter products, and simpler customer journeys. We work closely with Product, Engineering, and Operations to build and ship models and AI systems that are reliable in production and deliver measurable impact. Within Data Science, this role sits in Claims, supporting Claims Fraud and the broader ambition to automate more of the claims journey.
Claims is one of Marshmallow's most important customer touchpoints, and we're looking for a Principal Data Scientist who can provide technical leadership across traditional ML and Generative AI, bring system-level thinking to how we scale decisioning, and confidently challenge proposals to ensure we build robust, sustainable solutions.
What you'll be doing
- Provide technical leadership for data science across Claims Fraud, shaping the approach to risk decisioning and fraud detection in partnership with Product and Engineering.
- Design, build and iterate on production ML and Generative AI/LLM systems that support claims validation and automation.
- Collaborate closely with other Claims data scientists to bring system-level thinking to how models, data and workflows fit together, identifying architectural improvements needed to scale decisioning and reduce time-to-production.
- Be vocal about the platform and tooling investments needed (monitoring, feedback loops, QA) to achieve AI-driven end to end claims automation.
- Advocate for robust, scalable, and strategically aligned technical solutions in cross-functional discussions, ensuring current systems and infrastructure contribute to the multi-year vision for automated claims handling.
- Set a high bar for statistical rigour, experimentation and measurement, helping improve how Claims performance and uncertainty are understood and communicated to senior stakeholders.
Who You Are
- 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.
What You'll Bring
- 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.
Perks of the job
- Flexible working: Spend three days a week with your team in our collaborative London office, and own your own working hours.
- Competitive bonus scheme - designed to reward and recognise high performance.
- Flexible benefits budget - £50 per month to spend on a Ben Mastercard meaning you get your own benefits budget to spend on things you want.
- Mental wellbeing support – Access therapy and mental health sessions through Oliva.
- Learning and development – Personal budgets for books and training courses to help you grow in your role. Plus 2 days a year to further your skillset.
- Private health care - Enjoy all the benefits Vitality has to offer, including reduced gym memberships and discounts on smartwatches.
- Medical cash plan - To help you with the costs of dental, optical and physio (plus more).
- Tech scheme - Get the latest tech for less.
- Plus all the rest; 33 days holiday (including bank holidays), pension, cycle to work scheme, monthly team socials and company-wide socials every month!
We are able to offer sponsorship and/or a visa for this position.
Background checks
As part of our commitment to maintaining a safe and trustworthy environment, we’ll carry out standard background checks, including a DBS and a Cifas check. These help ensure there are no ongoing criminal proceedings and support the prevention of fraud and other forms of serious misconduct.
If anything of concern is identified, it may affect your eligibility for certain roles or services. Feel free to ask our Talent Acquisition team if you have any questions about this!
Everyone belongs at Marshmallow
At Marshmallow, we want to hire people from all walks of life with the passion and skills needed to help us achieve our company mission. To do that, we're committed to hiring without judgement, prejudice or bias. We encourage everyone to apply for our open roles. Gender identity, race, ethnicity, sexual orientation, age or background does not affect how we process job applications. We're working hard to build an inclusive culture that empowers our people to do their best work, have fun and feel that they belong.
Principal Data Scientist in London employer: Dangote Industries Limited
At Marshmallow, we pride ourselves on being an exceptional employer that fosters a collaborative and inclusive work culture. As a Principal Data Scientist, you'll enjoy flexible working arrangements, a competitive bonus scheme, and a personal benefits budget to tailor your perks. With a strong focus on employee growth through learning opportunities and mental wellbeing support, we empower our team to thrive while making a meaningful impact in the world of claims automation.
StudySmarter Expert Advice🤫
We think this is how you could land Principal Data Scientist in London
✨Tip Number 1
Network like a pro! Reach out to current employees at Marshmallow on LinkedIn or other platforms. Ask them about their experiences and any tips they might have for your application process. Personal connections can give you insights that make you stand out.
✨Tip Number 2
Prepare for the interview by brushing up on your technical skills. Since this role involves significant ML and AI work, be ready to discuss your past projects in detail. Show us how you've tackled challenges and delivered results in real-world scenarios.
✨Tip Number 3
Don’t just focus on your technical prowess; showcase your soft skills too! We want to see how you communicate complex ideas clearly and how you collaborate with cross-functional teams. Be ready to share examples of how you've influenced stakeholders in previous roles.
✨Tip Number 4
Finally, apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows your genuine interest in joining our team at Marshmallow. Let’s get you on board!
We think you need these skills to ace Principal Data Scientist in London
Some tips for your application 🫡
Tailor Your Application:Make sure to customise your CV and cover letter for the Principal Data Scientist role. Highlight your experience with Machine Learning and Generative AI, and how it aligns with our mission at Marshmallow.
Showcase Your Impact:When detailing your past projects, focus on the real-world impact of your work. We want to see how your contributions have led to measurable improvements in decision-making or customer journeys.
Be Clear and Concise:Keep your application straightforward and to the point. Use clear language to explain your technical skills and experiences, as we value strong communication just as much as technical prowess.
Apply Through Our Website:We encourage you to submit your application directly through our website. It’s the best way for us to receive your details and ensures you’re considered for the role without any hiccups!
How to prepare for a job interview at Dangote Industries Limited
✨Know Your Data Science Stuff
Make sure you brush up on your machine learning and generative AI knowledge. Be ready to discuss your past projects in detail, especially those that involved risk decisioning and fraud detection. Show them you can connect the dots between data science, engineering, and product.
✨Prepare for Technical Leadership Questions
Expect questions about how you've provided technical leadership in previous roles. Think of examples where you influenced technical direction or challenged assumptions. Be prepared to explain your thought process and how you advocate for robust solutions.
✨Showcase Your Collaboration Skills
Since this role involves working closely with Product and Engineering teams, be ready to discuss how you've collaborated in the past. Highlight your stakeholder management skills and give examples of how you've communicated trade-offs effectively.
✨Embrace Ambiguity
This position thrives in change, so be prepared to talk about how you've navigated ambiguity in your work. Share experiences where you brought structure and clarity to complex problems, demonstrating your resilience and adaptability.