At a Glance
- Tasks: Conduct advanced research in real-time event detection and AI innovation.
- Company: Leading AI intelligence platform with a focus on cutting-edge technology.
- Benefits: Competitive salary, flexible work arrangements, and generous benefits.
- Why this job: Join a team pushing the boundaries of AI and make a significant impact.
- Qualifications: Ph.D. in Computer Science and expertise in NLP, Machine Learning, and Deep Learning.
- Other info: Collaborative environment with opportunities for publishing and interdisciplinary teamwork.
The predicted salary is between 100000 - 150000 £ per year.
A leading AI intelligence platform is seeking a Research Scientist II to focus on real-time event detection and AI innovation. The role requires a Ph.D. in Computer Science, expertise in Natural Language Processing, Machine Learning, and Deep Learning, along with a strong publication record.
Candidates will conduct advanced research, collaborate with interdisciplinary teams, and publish findings.
This position offers competitive compensation with a salary range of $148,240 – $218,000, along with flexible work arrangements and generous benefits.
Real-Time AI Research Scientist II — Remote in London employer: Dataminr
Contact Detail:
Dataminr Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Real-Time AI Research Scientist II — Remote in London
✨Tip Number 1
Network like a pro! Reach out to professionals in the AI field on LinkedIn or at conferences. We can’t stress enough how valuable personal connections can be in landing that dream job.
✨Tip Number 2
Show off your expertise! Prepare a portfolio showcasing your research, publications, and any projects related to real-time event detection or NLP. This will help us see your skills in action.
✨Tip Number 3
Practice makes perfect! Get ready for those interviews by rehearsing common questions and discussing your research. We want to see your passion and knowledge shine through!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who take the initiative to connect directly with us.
We think you need these skills to ace Real-Time AI Research Scientist II — Remote in London
Some tips for your application 🫡
Show Off Your Expertise: Make sure to highlight your Ph.D. and any relevant experience in Natural Language Processing, Machine Learning, and Deep Learning. We want to see how your background aligns with the role, so don’t hold back on showcasing your skills!
Publication Power: Since a strong publication record is key for this position, include your most impressive papers and research contributions. We love seeing how you’ve shared your findings with the world, so make it easy for us to find your work!
Collaborative Spirit: This role involves working with interdisciplinary teams, so let us know about your teamwork experiences. Share examples of how you’ve collaborated on projects or research, as we value a collaborative mindset here at StudySmarter.
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. Don’t miss out on joining our innovative team!
How to prepare for a job interview at Dataminr
✨Know Your Research Inside Out
Make sure you can discuss your previous research in detail, especially any publications. Be prepared to explain your methodologies and findings clearly, as this will showcase your expertise in Natural Language Processing, Machine Learning, and Deep Learning.
✨Showcase Collaboration Skills
Since the role involves working with interdisciplinary teams, think of examples where you've successfully collaborated with others. Highlight how you contributed to team projects and how you can bring that collaborative spirit to their organisation.
✨Stay Updated on AI Trends
Familiarise yourself with the latest advancements in real-time event detection and AI innovation. Being able to discuss current trends and how they relate to the company's work will demonstrate your passion and commitment to the field.
✨Prepare Thoughtful Questions
At the end of the interview, you'll likely have the chance to ask questions. Prepare insightful queries about the company's research direction, team dynamics, or future projects. This shows your genuine interest in the role and helps you assess if it's the right fit for you.