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- Tasks: Enhance pricing with advanced data modelling and collaborate using machine learning techniques.
- Company: Digital insurance provider focused on innovation and teamwork.
- Benefits: Flexible working, bonus scheme, and strong mental wellbeing support.
- Why this job: Join a dynamic team and make an impact in the insurance industry with your skills.
- Qualifications: Experience in predictive modelling, Python proficiency, and knowledge of geospatial data.
- Other info: Enjoy a hybrid working environment with great career development opportunities.
The predicted salary is between 36000 - 60000 £ per year.
A digital insurance provider is seeking a Geospatial Data Scientist to enhance pricing activities through advanced data modelling and analysis. The role involves engineering spatial rating factors and collaborating with diverse teams to leverage machine learning techniques.
Applicants should have:
- Strong predictive modelling experience
- Proficiency in Python
- Familiarity with geospatial data
This position offers a hybrid working environment, along with competitive benefits including flexible working, a bonus scheme, and a strong focus on mental wellbeing.
Geospatial Data Scientist — ML-Powered Pricing in Leicester employer: Hastings Direct
Contact Detail:
Hastings Direct Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Geospatial Data Scientist — ML-Powered Pricing in Leicester
✨Tip Number 1
Network like a pro! Reach out to professionals in the geospatial and data science fields on LinkedIn. Join relevant groups and engage in discussions to get your name out there and learn about potential job openings.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your predictive modelling projects, especially those involving machine learning and geospatial data. This will give you an edge and demonstrate your expertise to potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on common questions related to data science and machine learning. Practice explaining your past projects and how you've used Python to solve real-world problems, as this will help you stand out during the interview process.
✨Tip Number 4
Don’t forget to apply through our website! We often have exclusive listings and it’s a great way to ensure your application gets noticed. Plus, you’ll be part of a community that values mental wellbeing and flexible working.
We think you need these skills to ace Geospatial Data Scientist — ML-Powered Pricing in Leicester
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your predictive modelling experience and Python proficiency in your application. We want to see how your skills can enhance our pricing activities!
Get Geospatial: Don’t forget to mention your familiarity with geospatial data. This is key for the role, so let us know how you've worked with it in the past!
Tailor Your Application: Customise your application to reflect the job description. We love seeing how you connect your experiences to the specific requirements of the Geospatial Data Scientist role.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss out on any important updates!
How to prepare for a job interview at Hastings Direct
✨Know Your Geospatial Stuff
Make sure you brush up on your geospatial data knowledge. Be ready to discuss how you've used geospatial data in past projects, especially in relation to pricing models. Highlight any specific tools or techniques you've employed, as this will show your expertise.
✨Show Off Your Python Skills
Since proficiency in Python is a must, prepare to demonstrate your coding skills. You might be asked to solve a problem on the spot, so practice common data manipulation tasks and machine learning algorithms in Python. Bring examples of your work that showcase your coding prowess.
✨Collaborate Like a Pro
This role involves working with diverse teams, so be ready to talk about your collaboration experiences. Share examples of how you've successfully worked with others to achieve a common goal, particularly in data-driven projects. Emphasise your communication skills and adaptability.
✨Understand the Company Culture
Familiarise yourself with the company's focus on mental wellbeing and flexible working. During the interview, express how you value a healthy work-life balance and how you can contribute to a positive team environment. This will show that you're not just a fit for the role, but also for the company culture.
