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- Tasks: Research and analyse the economic impact of AI technologies and develop innovative frameworks.
- Company: Leading technology company at the forefront of AI advancements.
- Benefits: Attractive salary, flexible working options, and opportunities for professional growth.
- Why this job: Join a passionate team and shape the future of AI economics.
- Qualifications: Master’s or PhD in a related field with analytics and economic research experience.
- Other info: Be part of a dynamic environment driving industry insights.
The predicted salary is between 36000 - 60000 £ per year.
A leading technology company is seeking a Senior Data Scientist / Research Economist to research and communicate the economic impact of AI technologies. Responsibilities include designing research and developing frameworks.
The ideal candidate will have a Master’s or PhD in a related field and experience in analytics and economic research. Join a team dedicated to driving forward insights in AI applications, contributing significantly to the industry's understanding of economic factors.
Senior Data Scientist for AI Economics Insights employer: Google
Contact Detail:
Google Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Scientist for AI Economics Insights
✨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 knowledge of AI technologies and their economic impacts. Be ready to discuss your past projects and how they relate to the role. We want to see your passion and understanding!
✨Tip Number 3
Showcase your skills through a portfolio or case studies. If you’ve done any research or projects related to AI and economics, make sure to highlight them. This is your chance to demonstrate your analytical prowess!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who take that extra step to connect with us directly.
We think you need these skills to ace Senior Data Scientist for AI Economics Insights
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in analytics and economic research. We want to see how your background aligns with the role, so don’t be shy about showcasing relevant projects or studies you've worked on.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about AI technologies and how your skills can contribute to our understanding of their economic impact. Keep it engaging and personal!
Showcase Your Research Skills: Since the role involves designing research and developing frameworks, include examples of your previous research work. We love seeing how you approach complex problems and what methodologies you’ve used.
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 the role. Plus, it’s super easy!
How to prepare for a job interview at Google
✨Know Your Stuff
Make sure you brush up on the latest trends in AI and economics. Familiarise yourself with key concepts and frameworks that are relevant to the role. Being able to discuss recent developments or case studies will show your passion and expertise.
✨Showcase Your Research Skills
Prepare to discuss your previous research projects in detail. Highlight your methodologies, findings, and how they contributed to the field. Be ready to explain complex data in simple terms, as communication is key in this role.
✨Ask Insightful Questions
Think of thoughtful questions to ask during the interview. This could be about the company's current projects in AI economics or their vision for the future. It shows you're engaged and genuinely interested in contributing to their goals.
✨Demonstrate Team Spirit
Since you'll be joining a team dedicated to driving insights, emphasise your collaborative experiences. Share examples of how you've worked effectively with others in past roles, especially in cross-functional teams, to achieve common objectives.
