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- Tasks: Use data analytics to support investment decisions and design innovative data products.
- Company: Core-Asset-Consulting, a forward-thinking firm in Newcastle upon Tyne.
- Benefits: Competitive salary and a chance to work with complex datasets in a team.
- Other info: Exciting opportunity for growth in the data science field.
- Why this job: Join a collaborative environment and make an impact in investment analytics.
- Qualifications: First-class degree in a relevant field and skills in Python and SQL.
The predicted salary is between 40000 - 50000 £ per year.
Core-Asset-Consulting is seeking a Data Scientist in Newcastle upon Tyne. This role involves leveraging data analytics to support investment decision-making and designing data products.
Applicants should have:
- Experience in data science
- A first-class degree in a relevant field
- Proficiency in Python and SQL
The position offers a competitive salary and the opportunity to work with complex datasets in a collaborative team environment.
Data Scientist: Investment Analytics & Data Products employer: Core-Asset-Consulting
Contact Detail:
Core-Asset-Consulting Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist: Investment Analytics & Data Products
✨Tip Number 1
Network like a pro! Reach out to current employees at Core-Asset-Consulting on LinkedIn. A friendly chat can give us insights into the company culture and maybe even a referral!
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your data science projects, especially those involving Python and SQL. This will help us demonstrate our expertise in investment analytics.
✨Tip Number 3
Practice makes perfect! Get ready for technical interviews by brushing up on common data science questions and coding challenges. We can even set up mock interviews with friends or use online platforms.
✨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 highlight how our skills align with the role.
We think you need these skills to ace Data Scientist: Investment Analytics & Data Products
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your experience in data science, especially with Python and SQL. We want to see how you've used these skills in real-world scenarios, so don’t hold back!
Tailor Your Application: Take a moment to customise your CV and cover letter for this role. Mention how your background aligns with investment analytics and data products, as it’ll make you stand out to us.
Be Clear and Concise: When writing your application, keep it straightforward. Use clear language and avoid jargon unless it's relevant. We appreciate a well-structured application that’s easy to read!
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!
How to prepare for a job interview at Core-Asset-Consulting
✨Know Your Data Science Fundamentals
Brush up on your data science concepts, especially those related to investment analytics. Be prepared to discuss your experience with Python and SQL, as well as any relevant projects you've worked on. This will show that you have a solid foundation and can apply your knowledge effectively.
✨Showcase Your Problem-Solving Skills
During the interview, be ready to tackle hypothetical scenarios or case studies related to investment decision-making. Think aloud as you work through the problem, demonstrating your analytical thinking and how you approach complex datasets. This will highlight your ability to contribute to their team.
✨Prepare Questions About the Role
Have a few thoughtful questions ready about the company's data products and how they support investment strategies. This shows your genuine interest in the role and helps you understand how you can fit into their collaborative environment.
✨Highlight Team Collaboration Experience
Since the role involves working in a team, share examples of how you've successfully collaborated with others in past projects. Discussing your teamwork skills will reassure them that you can thrive in their collaborative setting.