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- Tasks: Lead the design of ML systems and enhance claims automation.
- Company: Leading tech company in Greater London with a focus on innovation.
- Benefits: Flexible hours, competitive salary, and great career development opportunities.
- Why this job: Make a real impact in AI and fraud detection while working flexibly.
- Qualifications: Experience in Machine Learning and Generative AI systems.
- Other info: Join a dynamic team that values collaboration and technical leadership.
The predicted salary is between 60000 - 80000 £ per year.
A leading tech company in Greater London seeks a Staff Data Scientist to provide technical leadership in Claims. Responsibilities include designing ML systems and fostering collaboration to enhance claims automation.
The ideal candidate will have substantial experience in delivering Machine Learning solutions and building Generative AI systems in production. Join a dynamic team that prioritises impact and cross-functional partnership. Competitive benefits and flexible working hours available.
Staff Data Scientist – Claims AI & Fraud, Flexible Hours in London employer: Marshmallow
Contact Detail:
Marshmallow Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Staff Data Scientist – Claims AI & Fraud, Flexible Hours in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your Machine Learning projects and Generative AI systems. This will not only demonstrate your expertise but also give you something tangible to discuss during interviews.
✨Tip Number 3
Prepare for those interviews! Research common questions for Data Scientists and practice your responses. Be ready to discuss your past experiences and how they relate to the role, especially around claims automation and collaboration.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Staff Data Scientist – Claims AI & Fraud, Flexible Hours in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in Machine Learning and Generative AI. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about claims automation and how you can contribute to our dynamic team. Keep it engaging and personal – we love to see your personality!
Showcase Collaboration Skills: Since this role involves fostering collaboration, mention any cross-functional projects you've worked on. We value teamwork, so let us know how you’ve successfully partnered with others to achieve great results.
Apply Through Our Website: We encourage you to apply directly through our website for a smoother process. It helps us keep track of applications and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at Marshmallow
✨Know Your ML Stuff
Make sure you brush up on your machine learning concepts and be ready to discuss your past projects. Be prepared to explain how you've designed ML systems and the impact they had on claims automation.
✨Showcase Your Leadership Skills
As a Staff Data Scientist, you'll need to demonstrate your ability to lead technical discussions. Think of examples where you've fostered collaboration within teams or mentored others in building Generative AI systems.
✨Prepare for Technical Questions
Expect some deep dives into your technical expertise. Practice explaining complex concepts in simple terms, as this will show your ability to communicate effectively with cross-functional teams.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions that show your interest in the company’s goals and challenges. Inquire about their current projects in claims automation and how they envision the role of AI evolving in their processes.