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- Tasks: Design and develop AI solutions to enhance data governance capabilities.
- Company: Leading financial services company in Greater London with a focus on innovation.
- Benefits: Full-time position with opportunities for growth and professional development.
- Why this job: Join a dynamic team and make a significant impact in the financial sector.
- Qualifications: Strong experience in Python, SQL, and expertise in AI/ML required.
- Other info: Collaborative environment with excellent problem-solving opportunities.
The predicted salary is between 72000 - 108000 £ per year.
A leading financial services company in Greater London is seeking a Vice President, Applied AI ML Lead to design and develop AI solutions that enhance data governance capabilities. The role requires strong experience in Python and SQL, and candidates should have expertise in AI/ML.
Responsibilities include:
- Collaborating with various teams
- Building prototypes
- Maintaining model documentation
Ideal candidates are solution-oriented and possess excellent problem-solving skills. This is a full-time position based in London with opportunities for growth.
VP, Applied AI/ML for Data Governance employer: Jpmorgan Chase & Co.
Contact Detail:
Jpmorgan Chase & Co. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land VP, Applied AI/ML for Data Governance
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those already working in AI/ML roles. A friendly chat can lead to insider info about job openings and even referrals.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI/ML projects, especially those related to data governance. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on common AI/ML scenarios and problem-solving questions. We recommend practising with friends or using mock interview platforms to get comfortable.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace VP, Applied AI/ML for Data Governance
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in AI/ML and data governance. We want to see how your skills in Python and SQL shine through, so don’t hold back on showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to tell us why you’re the perfect fit for this role. Share specific examples of how you've collaborated with teams and built prototypes in the past. We love a good story!
Showcase Problem-Solving Skills: In your application, highlight instances where you’ve tackled complex problems. We’re looking for solution-oriented candidates, so let us know how you approached challenges and what the outcomes were.
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 don’t miss out on any important updates from our team!
How to prepare for a job interview at Jpmorgan Chase & Co.
✨Know Your AI/ML Stuff
Make sure you brush up on your AI and ML knowledge before the interview. Be ready to discuss specific projects you've worked on, especially those involving Python and SQL. This will show that you not only understand the theory but also have practical experience.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've tackled complex data governance challenges in the past. Use the STAR method (Situation, Task, Action, Result) to structure your answers. This will help demonstrate your solution-oriented mindset, which is crucial for this role.
✨Collaboration is Key
Since the role involves working with various teams, think of instances where you've successfully collaborated with others. Highlight your communication skills and how you’ve built prototypes or solutions together. This will show that you're a team player who can drive results.
✨Be Ready for Technical Questions
Expect some technical questions related to AI/ML, Python, and SQL during the interview. Brush up on common algorithms, data structures, and best practices in model documentation. Being well-prepared will help you feel more confident and make a great impression.
