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For Companies At a Glance
- Tasks: Create data visualisations and develop advanced analytics solutions to drive insights.
- Company: Leading insurance and legal services provider in vibrant Bristol.
- Benefits: Generous salary, professional growth opportunities, and a dynamic work environment.
- Why this job: Join a team that values innovation and make a real impact with your data skills.
- Qualifications: Proficiency in Python, R, SQL, and experience in predictive analytics and machine learning.
The predicted salary is between 36000 - 60000 £ per year.
A leading insurance and legal services provider in Bristol is seeking a Data Scientist to join their Information Management Team. The successful candidate will maintain data visualizations, develop advanced analytics solutions, and collaborate with stakeholders to deliver actionable insights.
Required skills include:
- Advanced proficiency in Python
- R
- SQL
- Experience with predictive analytics and machine learning
This role offers a generous remuneration package and opportunities for professional growth in a vibrant work environment.
Data Scientist - Insights & Predictive Analytics in Bristol employer: ARAG plc
Contact Detail:
ARAG plc Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist - Insights & Predictive Analytics in Bristol
✨Tip Number 1
Network like a pro! Reach out to current employees at the company on LinkedIn. A friendly chat can give us insider info and might just get your application noticed.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data visualisations and predictive analytics projects. This is your chance to shine and demonstrate what you can bring to the table.
✨Tip Number 3
Prepare for the interview by brushing up on your Python, R, and SQL skills. We want to be ready to discuss how you've used these tools in real-world scenarios, especially in predictive analytics.
✨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, it shows you’re genuinely interested in the role.
We think you need these skills to ace Data Scientist - Insights & Predictive Analytics in Bristol
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Python, R, SQL, and any predictive analytics or machine learning projects you've worked on. We want to see how your skills align with the role, so don’t hold back!
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 Information Management Team. Let us know what excites you about this opportunity.
Showcase Your Projects: If you’ve got any cool projects or data visualisations, include them in your application! We love seeing real examples of your work, especially if they demonstrate your ability to deliver actionable insights.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at ARAG plc
✨Know Your Tech Inside Out
Make sure you brush up on your Python, R, and SQL skills before the interview. Be ready to discuss specific projects where you've used these tools, especially in predictive analytics and machine learning. This will show that you not only know the theory but can apply it practically.
✨Showcase Your Data Visualisation Skills
Prepare to talk about your experience with data visualisations. Bring examples of your work, whether it's dashboards or reports, and be ready to explain how they helped stakeholders make informed decisions. This will demonstrate your ability to deliver actionable insights.
✨Understand the Company’s Needs
Research the insurance and legal services sector, particularly how data science is applied within it. Understanding the company's challenges and how your skills can address them will set you apart. Tailor your answers to show how you can contribute to their goals.
✨Practice Collaborative Scenarios
Since collaboration is key in this role, think of examples where you've worked with stakeholders to develop analytics solutions. Be prepared to discuss how you communicated complex data findings in a way that was easy for non-technical team members to understand.
