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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: Join a dynamic team making a real impact in AI and fraud detection.
- Qualifications: Experience in Machine Learning and building Generative AI systems.
- Other info: Collaborative environment with a strong emphasis on cross-functional partnerships.
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 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
✨Tip Number 1
Network like a pro! Reach out to current employees at the company through LinkedIn or industry events. A friendly chat can give us insights into the team culture and might even lead to a referral.
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your Machine Learning projects, especially those related to claims automation or Generative AI. This will help us stand out during interviews.
✨Tip Number 3
Practice makes perfect! Conduct mock interviews with friends or use online platforms to refine your answers. Focus on technical questions related to ML systems and collaboration scenarios.
✨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 AI & Fraud, Flexible Hours
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 team. Keep it engaging and personal – we love to see your personality come through.
Showcase Collaboration Skills: Since this role involves fostering collaboration, make sure to mention any cross-functional projects you've worked on. We value teamwork, so highlight how you’ve successfully partnered with others to achieve 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 get the best chance to join our dynamic team!
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.