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- Tasks: Develop predictive models for claims outcomes and fraud detection using machine learning.
- Company: A forward-thinking digital insurance provider focused on innovation.
- Benefits: Flexible hybrid working, competitive bonuses, and a commitment to inclusivity.
- Why this job: Join a dynamic team and make a real impact in the insurance industry.
- Qualifications: Proficiency in Python and experience with machine learning libraries required.
- Other info: Collaborative environment with opportunities for professional growth.
The predicted salary is between 36000 - 60000 £ per year.
A digital insurance provider seeks a Machine Learning Specialist to develop models predicting claims outcomes and fraud. This role involves monitoring models' performance, collaborating across teams, and presenting findings to stakeholders.
The ideal candidate will have proficiency in Python, experience with machine learning libraries, and an understanding of commercial value.
This position offers flexible hybrid working, competitive bonuses, and a commitment to inclusivity.
Applied Data Scientist: Predictive ML for Risk & Growth in Leicester employer: Hastings Insurance Services Limited
Contact Detail:
Hastings Insurance Services Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Applied Data Scientist: Predictive ML for Risk & Growth in Leicester
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those working in digital insurance or machine learning. A friendly chat can lead to insider info about job openings and even referrals.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your machine learning projects, especially those related to predictive modelling. This will give you an edge when discussing your experience with potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on your Python and machine learning libraries. Be ready to discuss how you've used these tools to solve real-world problems, particularly in risk assessment and fraud detection.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might just be the perfect fit for you. Plus, it’s a great way to show your enthusiasm for joining our team.
We think you need these skills to ace Applied Data Scientist: Predictive ML for Risk & Growth in Leicester
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Python and machine learning libraries. 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 predictive ML and how you can contribute to our mission. Keep it engaging and personal – we love to see your personality come through.
Showcase Collaboration Skills: Since this role involves working across teams, mention any past experiences where you collaborated effectively. We value teamwork, so let us know how you’ve successfully partnered with others to achieve common goals.
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 Hastings Insurance Services Limited
✨Know Your Models Inside Out
Make sure you can discuss the machine learning models you've worked on in detail. Be prepared to explain your approach to developing predictive models, how you monitored their performance, and any challenges you faced. This shows your depth of knowledge and practical experience.
✨Brush Up on Python and Libraries
Since proficiency in Python is key for this role, ensure you're comfortable with relevant libraries like scikit-learn, TensorFlow, or PyTorch. You might be asked to solve a coding problem or discuss how you've used these tools in past projects, so practice coding exercises beforehand.
✨Collaborate and Communicate
This role involves working across teams, so highlight your collaboration skills. Think of examples where you've successfully worked with others to achieve a common goal. Also, be ready to present your findings clearly, as you'll need to communicate complex data insights to stakeholders.
✨Understand the Business Impact
Demonstrate your understanding of how machine learning can drive commercial value. Be prepared to discuss how your work can influence risk assessment and growth strategies in the insurance sector. Showing that you can connect technical skills to business outcomes will set you apart.
