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- Tasks: Design advanced AI systems and collaborate on innovative projects.
- Company: Join MSCI Inc, a leader in AI Index R&D in London.
- Benefits: Competitive pay, great benefits, and a culture of innovation.
- Other info: Exciting opportunities for growth in a dynamic environment.
- Why this job: Shape the future of AI while aligning innovations with business goals.
- Qualifications: Bachelor's or Master's in Computer Science and strong Python skills required.
The predicted salary is between 60000 - 80000 £ per year.
MSCI Inc is seeking an experienced professional to join their AI Index R&D team in London. This role involves designing advanced AI systems utilizing large language models and agentic architectures, collaborating with various teams to align AI innovations with business priorities.
Candidates should have a Bachelor's or Master's degree in Computer Science or a related field, extensive experience in financial services or data, and strong Python skills among other qualifications.
Competitive compensation and benefits are offered, along with a culture of innovation.
AI Research Engineer — Index R&D & Automation employer: MSCI Inc
Contact Detail:
MSCI Inc Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Research Engineer — Index R&D & Automation
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and financial services sectors on LinkedIn. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects with large language models or agentic architectures. This is your chance to shine beyond the application.
✨Tip Number 3
Prepare for those interviews! Brush up on your Python skills and be ready to discuss how you've tackled real-world problems in AI. We want to see your thought process!
✨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 that extra step to connect with us directly.
We think you need these skills to ace AI Research Engineer — Index R&D & Automation
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in AI and Python, especially if you've worked on projects related to large language models. We want to see how your skills align with the role, so don’t be shy about showcasing relevant achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about AI and how your background fits with our team at MSCI. We love seeing candidates who can connect their experiences to our mission.
Showcase Your Projects: If you’ve worked on any interesting AI projects, make sure to mention them! Whether it's a personal project or something from your previous job, we want to know what you've done and how it relates to the role.
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 shows us you’re keen to join our innovative culture!
How to prepare for a job interview at MSCI Inc
✨Know Your AI Stuff
Make sure you brush up on the latest advancements in AI, especially around large language models and agentic architectures. Be ready to discuss how these technologies can be applied in financial services, as this will show your understanding of both the tech and the industry.
✨Showcase Your Python Skills
Since strong Python skills are a must for this role, prepare to demonstrate your coding abilities. You might be asked to solve a problem or explain a project where you used Python effectively. Have examples ready that highlight your experience with data manipulation and AI model development.
✨Collaboration is Key
This role involves working with various teams, so be prepared to discuss your experience in collaborative environments. Share specific examples of how you've worked with cross-functional teams to align tech innovations with business goals, showcasing your communication and teamwork skills.
✨Understand the Business Side
Familiarise yourself with how AI innovations can drive business priorities in financial services. Be ready to discuss how your technical skills can contribute to the company's objectives, demonstrating that you not only understand the technology but also its impact on the business.