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- Tasks: Analyse complex datasets and build machine learning models to drive data science initiatives.
- Company: Leading UK insurance company with a focus on innovation and collaboration.
- Benefits: Flexible hybrid role, great work-life balance, and numerous perks for professional growth.
- Why this job: Join a dynamic team and make an impact in the world of data science.
- Qualifications: Degree in Data Science and experience in Python and statistical modelling.
- Other info: Inspiring work environment with opportunities for career advancement.
The predicted salary is between 43200 - 72000 £ per year.
A leading insurance company in the UK is looking for a Senior Data Scientist to drive data science initiatives. The role involves analyzing complex datasets, building machine learning models, and collaborating with teams across various locations.
Candidates should have a degree in Data Science and solid experience in Python and statistical modelling.
This flexible hybrid role offers an inspiring work environment with numerous perks, ensuring a great work-life balance and support for professional growth.
Senior Data Scientist | ML & Predictive Analytics (Remote) in Haywards Heath employer: First Central
Contact Detail:
First Central Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Scientist | ML & Predictive Analytics (Remote) in Haywards Heath
✨Tip Number 1
Network like a pro! Reach out to current or former employees of the company on LinkedIn. A friendly chat can give us insider info and might even lead to a referral.
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your best machine learning projects. This is your chance to demonstrate your expertise in Python and statistical modelling.
✨Tip Number 3
Practice makes perfect! Get ready for those technical interviews by brushing up on your data science concepts and coding challenges. We can even set up mock interviews to help you feel confident.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we’re always looking for passionate candidates who want to make an impact in the data science field.
We think you need these skills to ace Senior Data Scientist | ML & Predictive Analytics (Remote) in Haywards Heath
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in data science, especially with Python and statistical modelling. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about data science and how you can contribute to our team. We love seeing enthusiasm and a clear understanding of the role.
Showcase Your Projects: If you've worked on any interesting machine learning models or data analysis projects, make sure to mention them! We’re keen to see real-world applications of your skills, so include links or descriptions of your work.
Apply Through Our Website: We encourage you to apply directly through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss out on any updates from us!
How to prepare for a job interview at First Central
✨Know Your Data Science Fundamentals
Brush up on your data science basics, especially in Python and statistical modelling. Be ready to discuss your previous projects and how you applied these skills to solve real-world problems.
✨Showcase Your Machine Learning Expertise
Prepare to talk about specific machine learning models you've built. Highlight the challenges you faced and how you overcame them, as well as the impact your work had on previous teams or projects.
✨Demonstrate Collaboration Skills
Since this role involves working with teams across various locations, be ready to share examples of how you've successfully collaborated in the past. Discuss any tools or methods you used to ensure effective communication and teamwork.
✨Ask Insightful Questions
Prepare thoughtful questions about the company's data science initiatives and how they align with your career goals. This shows your genuine interest in the role and helps you assess if it's the right fit for you.
