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- Tasks: Lead a high-impact data science team and drive innovative projects.
- Company: Top consumer intelligence firm in Stockport with a focus on collaboration.
- Benefits: Flexible working, great employee perks, and career development opportunities.
- Why this job: Shape the future of data science while mentoring a talented team.
- Qualifications: 5+ years leading data science teams, expertise in Python and machine learning.
- Other info: Join a dynamic environment that values creativity and teamwork.
The predicted salary is between 43200 - 72000 £ per year.
A leading consumer intelligence company in Stockport is seeking a Data Science Team Lead to mentor and manage a high-performing team. Responsibilities include fostering a collaborative team culture, coordinating project goals, and implementing process improvements.
The ideal candidate should have over 5 years of experience leading data science teams, with a strong knowledge of Python, cloud computing (MS Azure preferred), and machine learning algorithms.
The company offers a flexible working environment and numerous employee benefits.
Data Science Manager - Lead Collaborative, High-Impact Team in Stockport employer: NIELSENIQ
Contact Detail:
NIELSENIQ Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Science Manager - Lead Collaborative, High-Impact Team in Stockport
✨Tip Number 1
Network like a pro! Reach out to your connections in the data science field and let them know you're on the lookout for opportunities. You never know who might have a lead or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Python, cloud computing, and machine learning. This will give potential employers a taste of what you can bring to their team.
✨Tip Number 3
Prepare for interviews by brushing up on common data science scenarios and leadership questions. Practice articulating how you've fostered collaboration and driven project success in your previous roles.
✨Tip Number 4
Don't forget to apply through our website! We’ve got loads of exciting opportunities waiting for you, and applying directly can sometimes give you an edge over other candidates.
We think you need these skills to ace Data Science Manager - Lead Collaborative, High-Impact Team in Stockport
Some tips for your application 🫡
Show Off Your Experience: When you’re writing your application, make sure to highlight your experience leading data science teams. We want to see how you've mentored others and driven project success, so don’t hold back!
Get Technical: Since we’re looking for someone with a strong knowledge of Python and machine learning algorithms, be sure to mention specific projects or tools you’ve used. This will help us see your technical chops in action!
Culture Fit Matters: We value a collaborative team culture, so share examples of how you’ve fostered teamwork in your previous roles. Let us know how you’ve encouraged open communication and supported your team members.
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity. We can’t wait to hear from you!
How to prepare for a job interview at NIELSENIQ
✨Know Your Data Science Stuff
Make sure you brush up on your knowledge of Python, cloud computing (especially MS Azure), and machine learning algorithms. Be ready to discuss specific projects where you've applied these skills, as this will show your expertise and how you can lead a team effectively.
✨Show Off Your Leadership Skills
Prepare examples of how you've successfully managed and mentored teams in the past. Think about times when you fostered collaboration or improved processes. This will demonstrate your ability to lead a high-performing team and create a positive culture.
✨Understand Their Goals
Research the company’s mission and recent projects. Knowing what they value and their current challenges will help you align your answers with their goals. It shows that you're genuinely interested in contributing to their success.
✨Ask Thoughtful Questions
Prepare some insightful questions about the team dynamics, project goals, and the company's vision for data science. This not only shows your enthusiasm but also helps you gauge if the company is the right fit for you.
