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- Tasks: Drive research on AI's economic impact and design impactful studies.
- Company: Leading tech firm in Greater London with a dynamic team.
- Benefits: Full-time position with competitive salary and growth opportunities.
- Why this job: Join the forefront of AI discussions and make a real-world impact.
- Qualifications: Master's in Economics, analytics experience, coding, and statistical skills.
- Other info: Collaborate with global partners in an innovative environment.
The predicted salary is between 43200 - 72000 £ per year.
A leading technology firm in Greater London is looking for a Senior Data Scientist/Research Economist to drive research on AI's economic impact. Candidates should have a master's degree in Economics, significant experience in analytics, and skills in coding and statistical analysis.
The role includes:
- Designing impactful research
- Developing conceptual frameworks
- Collaborating with global partners
This is a full-time position in a dynamic team leading AI economic discussions.
Senior Data Scientist & AI Economics Researcher employer: Google
Contact Detail:
Google Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Scientist & AI Economics Researcher
✨Tip Number 1
Network like a pro! Reach out to professionals in the AI and economics fields on LinkedIn. Join relevant groups and participate in discussions to get your name out there and show off your expertise.
✨Tip Number 2
Prepare for interviews by brushing up on your coding and statistical analysis skills. Be ready to discuss how you've applied these in past projects, especially those that relate to AI's economic impact.
✨Tip Number 3
Showcase your research experience! Create a portfolio of your previous work that highlights your ability to design impactful research and develop conceptual frameworks. This will set you apart from other candidates.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Senior Data Scientist & AI Economics Researcher
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in analytics and coding. We want to see how your skills align with the role of a Senior Data Scientist/Research Economist, so don’t hold back on 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 AI's economic impact and how your background makes you the perfect fit for our dynamic team. Let us feel your enthusiasm!
Showcase Your Research Skills: Since the role involves designing impactful research, include examples of your previous work in this area. We love seeing how you've developed conceptual frameworks or collaborated with partners in your past roles.
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 any important updates from our team. Plus, we can’t wait to hear from you!
How to prepare for a job interview at Google
✨Know Your Economics
Brush up on key economic theories and concepts related to AI. Be ready to discuss how these theories apply to real-world scenarios, especially in the context of AI's economic impact. This will show your depth of knowledge and passion for the field.
✨Showcase Your Analytical Skills
Prepare examples of past projects where you used analytics to drive decisions or insights. Highlight your coding skills and statistical analysis techniques, as these are crucial for the role. Use specific metrics or outcomes to demonstrate your impact.
✨Research the Company’s Work
Familiarise yourself with the company’s recent projects and publications in AI economics. Being able to reference their work during the interview will not only impress them but also show that you’re genuinely interested in contributing to their mission.
✨Collaborative Mindset
Since the role involves working with global partners, be prepared to discuss your experience in collaborative environments. Share examples of how you’ve successfully worked in teams, especially in cross-functional or international settings, to highlight your adaptability and teamwork skills.
