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For Companies At a Glance
- Tasks: Assist in transforming data into actionable insights using AI and analytics.
- Company: Join Ernst & Young, a leader in consulting and technology.
- Benefits: Attractive salary, flexible working options, and continuous learning opportunities.
- Why this job: Be at the forefront of AI and data innovation, making a real difference.
- Qualifications: Experience with SQL, Python or Scala, and a passion for data.
- Other info: Dynamic team environment with excellent career advancement potential.
The predicted salary is between 43200 - 72000 £ per year.
Data Organisation
Demonstratable interest and awareness in emerging technologies.
Hands-on coding experience with SQL, Python or Scala.
What We Look For
We are looking for highly motivated individuals who are passionate about Data and Analytics and want to assist.
Senior Consultant, AI & Data, WAM, FS in London - Ernst & Young employer: WorksHub
Contact Detail:
WorksHub Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Consultant, AI & Data, WAM, FS in London - Ernst & Young
✨Tip Number 1
Network like a pro! Reach out to current or former employees at Ernst & Young on LinkedIn. A friendly chat can give us insider info and maybe even a referral!
✨Tip Number 2
Show off your skills! Prepare a portfolio or GitHub repository showcasing your SQL, Python, or Scala projects. This hands-on experience will make us stand out in interviews.
✨Tip Number 3
Stay updated on emerging technologies! Follow industry news and trends related to AI and Data. Being knowledgeable will impress interviewers and show our passion for the field.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we can tailor our CVs and cover letters to match what Ernst & Young is looking for.
We think you need these skills to ace Senior Consultant, AI & Data, WAM, FS in London - Ernst & Young
Some tips for your application 🫡
Show Your Passion for Data: When writing your application, let your enthusiasm for data and analytics shine through. We want to see how you’ve engaged with emerging technologies and what excites you about the field.
Highlight Your Technical Skills: Make sure to showcase your hands-on coding experience with SQL, Python, or Scala. We love seeing specific examples of how you've used these skills in past projects or roles.
Tailor Your Application: Don’t just send a generic application! Take the time to tailor your CV and cover letter to reflect the job description. We appreciate when candidates align their experiences with what we’re looking for.
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’s super easy!
How to prepare for a job interview at WorksHub
✨Show Your Passion for Data
Make sure to express your enthusiasm for data and analytics during the interview. Share specific examples of projects or experiences where you've worked with data, especially using SQL, Python, or Scala. This will demonstrate your genuine interest in the field.
✨Brush Up on Emerging Technologies
Stay updated on the latest trends and technologies in AI and data. Be prepared to discuss how these innovations can impact the industry and how you can contribute to them. This shows that you're not just knowledgeable but also forward-thinking.
✨Prepare for Technical Questions
Expect technical questions related to coding and data analysis. Practice coding problems in SQL, Python, or Scala beforehand. We recommend using platforms like LeetCode or HackerRank to sharpen your skills and boost your confidence.
✨Ask Insightful Questions
At the end of the interview, have a few thoughtful questions ready to ask your interviewers. Inquire about the team’s current projects, challenges they face, or how they see the role evolving. This shows your interest in the position and helps you gauge if it's the right fit for you.