Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Conduct groundbreaking research on AI's economic impact and develop innovative data methodologies.
- Company: Join Google, a leader in AI and economic research with a commitment to innovation.
- Benefits: Competitive salary, inclusive workplace, and opportunities for professional growth.
- Why this job: Make a real difference by shaping the future of AI and its economic implications.
- Qualifications: Master's or PhD in relevant fields with strong analytical and coding skills.
- Other info: Collaborate with top academics and policymakers in a dynamic, supportive environment.
The predicted salary is between 36000 - 60000 £ per year.
Minimum qualifications:
- Master's degree in Economics, Statistics, Data Science, Public Policy, Business, Finance, a related field, or equivalent practical experience.
- 4 years of experience using analytics to solve product or business problems, economic research, coding (e.g., Python, R, SQL), querying databases, or statistical analysis.
Preferred qualifications:
- PhD in Economics or a related field with a focus on labor economics, policy evaluation, industrial organization, or applied econometrics.
- 6 years of experience using analytics to solve product or business problems, economic research, coding (e.g., Python, R, SQL), querying databases, or statistical analysis.
- Experience conducting research or other innovative analyses, involving methodologies or data sources and working with text data or datasets.
- Experience with AI tools and technologies, with a passion for understanding their wider economic impact.
- Ability to communicate technical analyses to non-technical stakeholders and senior management.
About the job:
Google's AI and Economy program is a high-priority, cross-functional initiative focused on producing research, engaging top academics and policymakers, and building new data products to understand AI's economic impact. You will help design and deliver projects, measuring and communicating to the world about the economically meaningful AI usage in Google products and its implications for the wider economy. You will also widely support research efforts.
Responsibilities:
- Design and conduct research on the economic impacts of AI technologies by pioneering novel data sets and empirical methodologies.
- Develop new conceptual frameworks and taxonomies to systematize ways in which users and businesses engage with AI products, drawing as needed on existing economic research and input from academic advisors.
- Communicate the research findings externally through high-impact research publications, media articles, and stakeholder presentations.
- Position Google at the forefront of economic AI research by building strategic partnerships with external academic partners, global policy bodies, and think tanks, and leverage these partnerships to improve our research and amplify its impact on evidence-based policymaking.
- Maintain effective working relationships with partners across Google, including GDM, Research, Public Policy, Search, Google Trends, Behavioral Economics, to leverage inputs from other teams and communicate research findings to support product strategy decisions.
Senior Data Scientist/Research Economist in London employer: WeAreTechWomen
Contact Detail:
WeAreTechWomen Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Scientist/Research Economist in London
✨Tip Number 1
Network like a pro! Reach out to folks in your field on LinkedIn or at industry events. We all know that sometimes it’s not just what you know, but who you know that can help you land that dream job.
✨Tip Number 2
Prepare for those interviews by practising common questions and scenarios related to data science and economics. We recommend doing mock interviews with friends or mentors to boost your confidence and get feedback.
✨Tip Number 3
Showcase your skills! Create a portfolio of your projects, especially those involving AI and economic analysis. We love seeing real-world applications of your work, so make sure to highlight your best projects when chatting with potential employers.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities waiting for talented individuals like you. Plus, it’s a great way to ensure your application gets the attention it deserves.
We think you need these skills to ace Senior Data Scientist/Research Economist in London
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your experience with analytics, coding, and economic research. We want to see how you've tackled real-world problems using your skills, so don’t hold back!
Tailor Your Application: Customise your CV and cover letter to match the job description. Use keywords from the posting to show us you’re a perfect fit for the Senior Data Scientist/Research Economist role.
Communicate Clearly: Remember, we need to understand your technical analyses just as much as the non-technical folks do. Keep your language clear and concise, especially when explaining complex concepts.
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to receive your details and get the ball rolling on your journey with StudySmarter.
How to prepare for a job interview at WeAreTechWomen
✨Know Your Stuff
Make sure you brush up on your economics and data science knowledge. Be ready to discuss your experience with coding languages like Python, R, and SQL, as well as any innovative analyses you've conducted. This is your chance to showcase how your skills can solve real business problems.
✨Showcase Your Research Skills
Prepare to talk about specific research projects you've worked on, especially those involving AI technologies or economic impacts. Highlight any novel methodologies or datasets you've used, and be ready to explain how these contributed to your findings.
✨Communicate Clearly
Since you'll need to convey complex analyses to non-technical stakeholders, practice explaining your work in simple terms. Use examples from your past experiences to demonstrate how you've successfully communicated technical concepts to diverse audiences.
✨Build Connections
Research Google’s partnerships with academic institutions and policy bodies. Be prepared to discuss how you can leverage these relationships to enhance research efforts. Showing that you understand the importance of collaboration will set you apart from other candidates.
