At a Glance
- Tasks: Lead predictive analytics projects and develop AI solutions for investment banking.
- Company: Join Jefferies, a leading global investment bank with a focus on innovation.
- Benefits: Competitive salary, career advancement, and the chance to work with cutting-edge technology.
- Other info: Collaborate with senior stakeholders in a dynamic and impactful environment.
- Why this job: Make a real impact in AI and enhance decision-making in finance.
- Qualifications: 6+ years in data science, strong Python skills, and experience with LLM applications.
The predicted salary is between 80000 - 120000 £ per year.
Jefferies is seeking a Vice President to join its Data Science team in London. You will lead projects in predictive analytics and AI, developing scalable solutions for investment banking workflows.
Ideal candidates should have over 6 years in data science, strong Python skills, and experience with LLM-based applications. This is a unique opportunity to contribute to high-impact AI solutions in a leading global investment bank, partnering with senior stakeholders to enhance decision-making and drive productivity.
VP, Data Science & Agentic AI (Predictive Modeling) in London employer: Jefferies
Jefferies is an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration in the heart of London. As a Vice President in Data Science, you will not only lead cutting-edge projects in predictive analytics and AI but also benefit from extensive professional growth opportunities within a global investment bank renowned for its commitment to employee development and impactful contributions to the financial sector.
StudySmarter Expert Advice🤫
We think this is how you could land VP, Data Science & Agentic AI (Predictive Modeling) in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those at Jefferies or similar firms. A friendly chat can open doors and give you insights that might just set you apart from the competition.
✨Tip Number 2
Showcase your skills! Prepare a portfolio of your predictive analytics projects and AI solutions. When you get the chance to chat with hiring managers, having tangible examples will make you stand out as a candidate who can deliver results.
✨Tip Number 3
Stay updated on industry trends! Read up on the latest in data science and AI, especially in investment banking. Being able to discuss current developments shows you're not just qualified but genuinely passionate about the field.
✨Tip Number 4
Apply through our website! We want to see your application come through directly. It helps us keep track of candidates and gives you a better chance to shine in front of the right people.
We think you need these skills to ace VP, Data Science & Agentic AI (Predictive Modeling) in London
Some tips for your application 🫡
Show Off Your Experience:Make sure to highlight your 6+ years in data science clearly. We want to see how your background aligns with the role, especially your experience with predictive analytics and AI.
Python is Key:Since strong Python skills are a must-have, don’t forget to mention specific projects or applications where you've used Python effectively. We love seeing real examples!
Talk About Collaboration:This role involves working with senior stakeholders, so share any experiences you have in collaborating with others. We’re keen to know how you’ve enhanced decision-making in 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 get to know you better!
How to prepare for a job interview at Jefferies
✨Know Your Data Science Stuff
Make sure you brush up on your data science fundamentals, especially predictive analytics and AI. Be ready to discuss your past projects in detail, focusing on how you used Python and LLM-based applications to solve real-world problems.
✨Showcase Your Leadership Skills
As a VP, you'll need to demonstrate your ability to lead teams and projects. Prepare examples of how you've successfully managed teams or initiatives in the past, particularly in high-pressure environments like investment banking.
✨Understand the Business Context
Familiarise yourself with Jefferies and its role in the investment banking sector. Think about how your work in data science can directly impact decision-making and productivity within the company, and be ready to share your insights during the interview.
✨Engage with Stakeholders
Since you'll be partnering with senior stakeholders, practice articulating complex data concepts in a way that's easy for non-technical audiences to understand. This will show that you can bridge the gap between data science and business needs effectively.
