At a Glance
- Tasks: Lead technical efforts in Claims Fraud and create automated claims solutions.
- Company: Join Marshmallow, a forward-thinking company at the forefront of technology.
- Benefits: Flexible working environment, competitive salary, and opportunities for professional growth.
- Other info: Collaborate with diverse teams across Product and Engineering for innovative solutions.
- Why this job: Make a real impact using Machine Learning and Generative AI in a dynamic field.
- Qualifications: Extensive experience in Machine Learning, Generative AI, and strong statistical skills.
The predicted salary is between 60000 - 80000 £ per year.
Marshmallow is seeking a Staff Data Scientist to lead technical efforts in Claims Fraud, focusing on creating automated claims solutions. This role requires extensive experience with Machine Learning and Generative AI systems, collaborating closely with teams across Product and Engineering.
The successful candidate will bring a strong statistical background and the ability to drive impactful automation, ensuring high-quality outcomes in a flexible working environment.
Staff Data Scientist — Claims, Fraud & Generative AI in London employer: Marshmallow
Marshmallow is an exceptional employer that fosters a collaborative and innovative work culture, particularly for those in the Staff Data Scientist role. With a strong emphasis on employee growth and development, team members are encouraged to explore new technologies and methodologies in a flexible working environment, making it an ideal place for professionals passionate about driving impactful automation in Claims Fraud and Generative AI.
StudySmarter Expert Advice🤫
We think this is how you could land Staff Data Scientist — Claims, Fraud & Generative AI 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 a project that highlights your experience with Machine Learning and Generative AI. This will help you stand out and demonstrate your expertise in a tangible way.
✨Tip Number 3
Practice makes perfect! Get ready for those technical interviews by brushing up on your statistical knowledge and problem-solving skills. Mock interviews can really help you feel more confident.
✨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 Staff Data Scientist — Claims, Fraud & Generative AI in London
Some tips for your application 🫡
Show Off Your Skills:Make sure to highlight your experience with Machine Learning and Generative AI in your application. We want to see how you've used these skills to drive impactful automation in previous roles.
Tailor Your Application:Don’t just send a generic CV! Tailor your application to reflect the specific requirements of the Staff Data Scientist role at Marshmallow. We love seeing candidates who take the time to connect their experience with what we’re looking for.
Be Clear and Concise:When writing your application, keep it clear and to the point. We appreciate well-structured applications that make it easy for us to see your qualifications and how you can contribute to our team.
Apply Through Our Website:We encourage you to apply through our website for the best chance of getting noticed. It’s the easiest way for us to track your application and ensure it reaches the right people!
How to prepare for a job interview at Marshmallow
✨Know Your Machine Learning Stuff
Make sure you brush up on your machine learning and generative AI knowledge. Be ready to discuss specific algorithms you've worked with, and how you've applied them in real-world scenarios, especially in claims fraud.
✨Showcase Your Collaboration Skills
Since this role involves working closely with Product and Engineering teams, prepare examples of past collaborations. Highlight how you’ve successfully communicated complex data concepts to non-technical stakeholders.
✨Prepare for Technical Questions
Expect some technical questions that test your statistical background and problem-solving skills. Practice explaining your thought process clearly and concisely, as this will demonstrate your expertise and confidence.
✨Emphasise Automation Impact
Be ready to discuss how your work has driven impactful automation in previous roles. Share specific outcomes and metrics that showcase the quality and efficiency improvements you've achieved.
