At a Glance
- Tasks: Lead the Claims Fraud team and design innovative ML and AI systems.
- Company: Join Marshmallow, a forward-thinking company revolutionising claims processing.
- Benefits: Enjoy flexible working, competitive bonuses, and comprehensive health support.
- Other info: Collaborate with product and engineering teams in a dynamic environment.
- Why this job: Make a real impact in fraud detection using cutting-edge technology.
- Qualifications: Expertise in Machine Learning and Generative AI with a focus on risk-based decision-making.
The predicted salary is between 80000 - 100000 € per year.
Marshmallow is seeking a Principal Data Scientist to lead the Claims Fraud team. You will provide technical guidance, design ML and AI systems, and ensure robust decisioning. With your systems thinking, you’ll collaborate with product and engineering teams to enhance automation in claims processing.
The ideal candidate has expertise in Machine Learning and Generative AI, with a strong focus on risk-based decision-making. Enjoy perks like flexible working, a competitive bonus scheme, and comprehensive health support.
Principal Data Scientist, Claims AI & Fraud - Flexible in London employer: Dangote Industries Limited
At Marshmallow, we pride ourselves on being an excellent employer by fostering a collaborative and innovative work culture that empowers our employees to thrive. As a Principal Data Scientist, you'll benefit from flexible working arrangements, a competitive bonus scheme, and comprehensive health support, all while contributing to meaningful advancements in AI and fraud detection. Our commitment to employee growth ensures that you will have ample opportunities to develop your skills and advance your career in a dynamic environment.
StudySmarter Expert Advice🤫
We think this is how you could land Principal Data Scientist, Claims AI & Fraud - Flexible in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those at Marshmallow. A friendly chat can open doors and give you insights that a job description just can't.
✨Tip Number 2
Show off your skills! Prepare a portfolio or case studies showcasing your work in Machine Learning and AI. This is your chance to demonstrate how you can lead the Claims Fraud team with real examples.
✨Tip Number 3
Practice makes perfect! Get ready for those interviews by rehearsing common questions related to risk-based decision-making and automation in claims processing. We want you to feel confident and ready to shine!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who take the initiative to connect directly with us.
We think you need these skills to ace Principal Data Scientist, Claims AI & Fraud - Flexible in London
Some tips for your application 🫡
Showcase Your Expertise:Make sure to highlight your experience in Machine Learning and Generative AI. We want to see how your skills align with the role, so don’t hold back on sharing specific projects or achievements that demonstrate your expertise.
Tailor Your Application:Take a moment to customise your application for the Principal Data Scientist position. We love seeing candidates who understand our needs, so mention how your background in risk-based decision-making can enhance our Claims Fraud team.
Be Clear and Concise:When writing your application, keep it straightforward and to the point. We appreciate clarity, so avoid jargon unless it’s necessary. This helps us quickly grasp your qualifications and fit for the role.
Apply Through Our Website:We encourage you to submit your application through our website. It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it makes the process smoother for everyone involved!
How to prepare for a job interview at Dangote Industries Limited
✨Know Your ML and AI Inside Out
Make sure you brush up on your knowledge of Machine Learning and Generative AI. Be ready to discuss specific algorithms, their applications in fraud detection, and how they can enhance decision-making in claims processing.
✨Showcase Your Systems Thinking
Prepare examples that demonstrate your ability to think systemically. Discuss how you've collaborated with product and engineering teams in the past to improve automation and efficiency in processes.
✨Prepare for Technical Questions
Expect technical questions that assess your expertise in designing ML systems. Practice explaining complex concepts clearly and concisely, as you may need to communicate these ideas to non-technical stakeholders.
✨Highlight Your Risk-Based Decision-Making Skills
Be ready to share experiences where you've applied risk-based decision-making in your previous roles. This could involve discussing how you evaluated risks in data-driven projects and the outcomes of those decisions.
