At a Glance
- Tasks: Develop predictive models and innovate features for insurance products.
- Company: Join Experian, a leader in data-driven solutions with a people-first culture.
- Benefits: Enjoy hybrid working, competitive pay, and a supportive work environment.
- Other info: Great opportunities for career growth in a dynamic team.
- Why this job: Make a real impact by transforming data into meaningful insights.
- Qualifications: Proficiency in R or Python, statistical modelling, and handling large datasets.
The predicted salary is between 40000 - 50000 £ per year.
Experian is hiring a Data Scientist in Glasgow to develop predictive capabilities for insurance-related products. The role emphasizes modelling, feature innovation, and improving the quality of production data outputs.
Candidates should have expertise in R or Python and statistical modelling, and comfort with large datasets and APIs.
Benefits include hybrid working, great compensation, and a people-first work culture.
Join Experian and contribute to meaningful data-driven solutions.
Hybrid Data Scientist: Analytics & Product Innovation in Glasgow employer: Experian
Experian is an excellent employer, offering a dynamic work environment in Glasgow where innovation meets collaboration. With a strong emphasis on employee growth and a people-first culture, team members enjoy hybrid working arrangements, competitive compensation, and the opportunity to contribute to impactful data-driven solutions in the insurance sector.
StudySmarter Expert Advice🤫
We think this is how you could land Hybrid Data Scientist: Analytics & Product Innovation in Glasgow
✨Tip Number 1
Network like a pro! Reach out to current or former employees at Experian on LinkedIn. A friendly chat can give us insider info about the company culture and maybe even a referral!
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your projects in R or Python, especially those involving predictive modelling. This will help us stand out during interviews.
✨Tip Number 3
Practice makes perfect! Get comfortable with common data science interview questions and case studies. We can even do mock interviews together to boost our confidence.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we can tailor our CV and cover letter to match what Experian is looking for.
We think you need these skills to ace Hybrid Data Scientist: Analytics & Product Innovation in Glasgow
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with R or Python and any statistical modelling you've done. We want to see how your skills align with the role, so don’t be shy about showcasing your expertise!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're excited about the Data Scientist position at Experian and how you can contribute to developing predictive capabilities for insurance-related products.
Showcase Your Projects:If you've worked on any relevant projects involving large datasets or APIs, make sure to mention them. We love seeing practical examples of your work that demonstrate your problem-solving skills and innovation.
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’re considered for this exciting opportunity in Glasgow!
How to prepare for a job interview at Experian
✨Know Your Tools Inside Out
Make sure you're well-versed in R or Python, as these are crucial for the role. Brush up on your statistical modelling skills and be ready to discuss how you've used these tools in past projects.
✨Showcase Your Data Skills
Prepare examples of how you've worked with large datasets and APIs. Be ready to explain your approach to data cleaning and feature innovation, as this will demonstrate your ability to improve production data outputs.
✨Understand the Business Context
Familiarise yourself with insurance-related products and how predictive analytics can enhance them. This knowledge will help you connect your technical skills to real-world applications during the interview.
✨Emphasise Collaboration and Culture Fit
Experian values a people-first work culture, so be prepared to discuss how you work in teams. Share experiences where you've collaborated effectively and contributed to a positive team environment.
