At a Glance
- Tasks: Lead a team of Data Scientists and manage innovative product analytics projects.
- Company: Join Workday's Peakon team in vibrant Greater London.
- Benefits: Competitive salary, inclusive culture, and opportunities for professional growth.
- Other info: Dynamic role with a focus on collaboration and high-quality outputs.
- Why this job: Shape the future of data science while fostering an inclusive team environment.
- Qualifications: Proven leadership experience and a strong background in data science.
The predicted salary is between 70000 - 90000 £ per year.
Workday is seeking a Data Science Manager for the Peakon team in Greater London. This role involves leading a team of 4-5 Data Scientists, managing projects through collaboration with engineering and product management, and contributing to building a cutting-edge product. The ideal candidate will have extensive experience in leading diverse teams, a strong background in data science, and a passion for developing inclusive environments.
Key responsibilities include:
- Team development
- Hiring processes
- Ensuring high-quality outputs
Data Science Manager - Lead Product Analytics in London employer: Workday
Workday is an exceptional employer that fosters a collaborative and inclusive work culture, particularly within the Peakon team in Greater London. Employees benefit from professional growth opportunities, a commitment to diversity, and the chance to lead innovative projects that shape cutting-edge products. With a focus on team development and high-quality outputs, Workday provides a rewarding environment for those passionate about data science and leadership.
StudySmarter Expert Advice🤫
We think this is how you could land Data Science Manager - Lead Product Analytics in London
✨Tip Number 1
Network like a pro! Reach out to current employees at Workday or in the data science field. A friendly chat can give you insider info and might even lead to a referral.
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your past projects and achievements in data science. This will help you stand out during interviews and demonstrate your expertise.
✨Tip Number 3
Practice makes perfect! Get ready for those technical interviews by brushing up on your data science concepts and problem-solving skills. Mock interviews with friends can really help.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Data Science Manager - Lead Product Analytics in London
Some tips for your application 🫡
Show Your Leadership Skills:When writing your application, make sure to highlight your experience in leading teams. We want to see how you've managed projects and developed team members in the past. Use specific examples to demonstrate your ability to create an inclusive environment.
Tailor Your Application:Don’t just send a generic CV and cover letter! We’re looking for candidates who can connect their skills and experiences directly to the role. Make sure to mention your background in data science and how it aligns with our goals at Workday.
Be Clear and Concise:We appreciate clarity in applications. Keep your language straightforward and avoid jargon unless it's relevant. This helps us understand your qualifications quickly and easily, so we can focus on what really matters.
Apply Through Our Website:To ensure your application gets the attention it deserves, please apply through our website. This way, we can process your application more efficiently and keep you updated on your progress. We can’t wait to hear from you!
How to prepare for a job interview at Workday
✨Know Your Data Science Stuff
Make sure you brush up on your data science fundamentals. Be ready to discuss your experience with various data analysis techniques, machine learning algorithms, and any relevant tools you've used. This is your chance to showcase your expertise!
✨Showcase Your Leadership Skills
Since this role involves leading a team, be prepared to share examples of how you've successfully managed diverse teams in the past. Talk about your approach to team development and how you foster an inclusive environment. They’ll want to see that you can inspire and guide others.
✨Collaborate Like a Pro
Highlight your experience working with cross-functional teams, especially with engineering and product management. Discuss specific projects where collaboration was key to success. This will demonstrate your ability to work well with others and drive results.
✨Prepare Questions That Matter
Think of insightful questions to ask during the interview. Inquire about the team's current projects, the company culture, or how they measure success in this role. This shows your genuine interest in the position and helps you assess if it's the right fit for you.
