At a Glance
- Tasks: Develop predictive models and enhance data outputs for property risk and pricing.
- Company: Join Experian Health, a leader in data science with a focus on innovation.
- Benefits: Enjoy a hybrid work model, competitive pay, healthcare, and generous leave.
- Other info: Be part of a diverse team committed to equal opportunities.
- Why this job: Make an impact by improving data-driven decisions in a dynamic environment.
- Qualifications: Experience in statistical modelling, feature development, and data management.
The predicted salary is between 40000 - 50000 £ per year.
Experian Health in Glasgow is seeking a Data Scientist to join their Data Science team. This role focuses on developing predictive capabilities and improving the performance of data outputs related to property risk and pricing decisions.
The ideal candidate will have experience in statistical modelling, feature development, and data pipeline management while working closely with cross-functional teams.
Benefits include a hybrid working model with a competitive compensation package, healthcare, and annual leave. Experian is committed to diversity and equal opportunity in the workplace.
Hybrid Data Scientist: Analytics & Product Innovation in Glasgow employer: Experian Health
Experian Health in Glasgow offers an exceptional work environment for Data Scientists, emphasising innovation and collaboration within a diverse team. With a hybrid working model, competitive compensation, and robust benefits including healthcare and generous annual leave, employees are empowered to grow their skills and contribute meaningfully to predictive analytics and product innovation.
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 Health on LinkedIn. A friendly chat can give us insider info about the team and the role, plus it shows our genuine interest.
✨Tip Number 2
Prepare for the interview by brushing up on your statistical modelling skills. We should be ready to discuss our past projects and how they relate to predictive capabilities in property risk and pricing decisions.
✨Tip Number 3
Showcase our collaborative spirit! Since this role involves working with cross-functional teams, we should highlight any experiences where we've successfully partnered with others to achieve a common goal.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure our application gets noticed. Plus, we can tailor our submission to align perfectly with 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 in statistical modelling and data pipeline management. 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 excited about the Data Scientist position at Experian Health and how you can contribute to their goals. Let your personality come through!
Showcase Your Teamwork Skills:Since this role involves working closely with cross-functional teams, make sure to mention any collaborative projects you've been part of. We love seeing how you’ve worked with others to achieve great results!
Apply Through Our Website:We encourage you to apply directly through our website for the best chance of getting noticed. It’s the easiest way for us to keep track of your application and ensure it reaches the right people!
How to prepare for a job interview at Experian Health
✨Know Your Data Science Stuff
Make sure you brush up on your statistical modelling and feature development skills. Be ready to discuss specific projects where you've successfully managed data pipelines or improved data outputs. This will show that you not only understand the theory but can apply it in real-world scenarios.
✨Understand the Company’s Focus
Research Experian Health and their approach to property risk and pricing decisions. Familiarise yourself with their products and how data science plays a role in their innovation. This knowledge will help you tailor your answers and demonstrate your genuine interest in the company.
✨Prepare for Cross-Functional Collaboration
Since this role involves working closely with cross-functional teams, think of examples from your past experiences where you collaborated effectively. Be ready to discuss how you communicated complex data insights to non-technical stakeholders, as this will highlight your ability to bridge gaps between teams.
✨Ask Insightful Questions
Prepare thoughtful questions about the team dynamics, the tools they use, and their current challenges in predictive analytics. This not only shows your enthusiasm for the role but also helps you gauge if the company culture aligns with your values, especially regarding diversity and equal opportunity.
