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- Tasks: Analyse data and generate insights to enhance talent analytics.
- Company: Join EY, a leading firm known for its inclusive culture.
- Benefits: Dynamic work environment with opportunities for skill development.
- Other info: Collaborate with diverse teams and grow your career at EY.
- Why this job: Make a real impact by transforming data into actionable insights.
- Qualifications: Experience in data analysis, text analytics, and visualisation tools.
The predicted salary is between 50000 - 60000 £ per year.
EY is seeking a Data Scientist in Birmingham who will be responsible for structuring research questions, performing data analyses, and generating actionable insights. The ideal candidate will have expertise in text analytics, clustering, and predictive modeling. Additionally, knowledge of advanced data visualization tools like PowerBI is vital.
This role includes collaboration with cross-functional teams to elevate the quality of talent analytics. EY offers a dynamic environment that favors skill development and inclusivity.
Data Scientist & Insights Lead (Talent Analytics) employer: EY
Contact Detail:
EY Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist & Insights Lead (Talent Analytics)
✨Tip Number 1
Network like a pro! Reach out to current or former employees at EY on LinkedIn. A friendly chat can give us insider info and maybe even a referral, which can really boost our chances.
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your data analyses, visualisations, and any projects related to text analytics or predictive modelling. This will help us stand out during interviews.
✨Tip Number 3
Practice makes perfect! Get ready for those technical interviews by brushing up on your data science concepts and tools like PowerBI. We can even do mock interviews with friends to build confidence.
✨Tip Number 4
Apply through our website! It’s the best way to ensure our application gets seen. Plus, we can tailor our application to highlight how our skills align with EY's focus on talent analytics.
We think you need these skills to ace Data Scientist & Insights Lead (Talent Analytics)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in data analytics, especially in text analytics and predictive modelling. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about talent analytics and how your background makes you a perfect fit for our team. Let us know what excites you about working at EY.
Showcase Your Technical Skills: Don’t forget to mention your expertise in advanced data visualisation tools like PowerBI. We love seeing candidates who can turn complex data into clear insights, so include examples of your work if possible!
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 us during the process!
How to prepare for a job interview at EY
✨Know Your Data Inside Out
Make sure you’re well-versed in the data analytics techniques mentioned in the job description, like text analytics and predictive modelling. Brush up on your clustering methods too, as you might be asked to explain how you would apply these in real-world scenarios.
✨Showcase Your Visualisation Skills
Since advanced data visualisation tools like PowerBI are crucial for this role, prepare to discuss your experience with them. Bring examples of dashboards or reports you've created, and be ready to explain how they helped drive insights.
✨Prepare for Collaboration Questions
This role involves working with cross-functional teams, so expect questions about teamwork and collaboration. Think of specific instances where you’ve successfully worked with others to achieve a common goal, and be ready to share those stories.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions that show your interest in the role and the company. Inquire about the types of projects you’d be working on or how the team measures success in talent analytics. This shows you’re not just interested in the job, but also in contributing to their goals.