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For Companies At a Glance
- Tasks: Lead a talented team to create advanced ML models and extract insights for strategic decisions.
- Company: Join a dynamic media company with popular TV channels and a thriving streaming service.
- Benefits: Enjoy hybrid work options and the chance to impact millions of viewers.
- Why this job: Be part of an innovative culture that values creativity and collaboration in the entertainment industry.
- Qualifications: Experience in project management, proficiency in Python, and proven machine learning skills required.
- Other info: This role offers a unique opportunity to shape data strategies in a fast-paced environment.
The predicted salary is between 48000 - 72000 £ per year.
We are working on an exciting opportunity with a Media company looking for a Lead Data Scientist to join their growing team.
The Company
A media company with multiple TV Channels and a streaming service, that generates millions of viewers a year.
The Role
You will guide a top-tier team, designing sophisticated ML/data models and extracting key insights to drive strategic decisions across the business.
The Candidate
- Experience managing either projects or a team
- Proficiency with the use of tools such as Python etc. with proven ML experience
- Ability to work cross-functionally with a variety of stakeholders
Lead Data Scientist employer: Nicholson Glover
Contact Detail:
Nicholson Glover Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Data Scientist
✨Tip Number 1
Network with professionals in the media and entertainment industry. Attend relevant meetups, webinars, or conferences where you can connect with data scientists and industry leaders. This can help you gain insights into the company culture and potentially get a referral.
✨Tip Number 2
Showcase your leadership skills by participating in online forums or communities related to data science. Share your knowledge, mentor others, and engage in discussions about machine learning projects. This will demonstrate your ability to lead and manage teams effectively.
✨Tip Number 3
Familiarise yourself with the latest trends and technologies in the media sector, especially those related to data analytics and machine learning. Being able to discuss how these innovations can impact the business will set you apart during interviews.
✨Tip Number 4
Prepare to discuss specific examples of cross-functional collaboration in your previous roles. Highlight how you’ve worked with different stakeholders to achieve project goals, as this is crucial for the Lead Data Scientist position.
We think you need these skills to ace Lead Data Scientist
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in managing projects or teams, as well as your proficiency with tools like Python. Emphasise any relevant machine learning projects you've worked on.
Craft a Compelling Cover Letter: In your cover letter, explain why you're passionate about the media and entertainment industry. Discuss how your skills can help the company drive strategic decisions through data insights.
Showcase Your Technical Skills: Include specific examples of your work with machine learning models and data analysis. Mention any successful projects where you extracted key insights that influenced business strategies.
Highlight Cross-Functional Collaboration: Demonstrate your ability to work with various stakeholders by providing examples of past experiences where you collaborated with different teams to achieve project goals.
How to prepare for a job interview at Nicholson Glover
✨Showcase Your Leadership Skills
As a Lead Data Scientist, you'll be guiding a team. Be prepared to discuss your previous experience in managing projects or teams, highlighting specific examples where you successfully led initiatives and drove results.
✨Demonstrate Technical Proficiency
Make sure to brush up on your technical skills, especially in Python and machine learning. Be ready to discuss your experience with these tools and how you've applied them to solve real-world problems in your past roles.
✨Prepare for Cross-Functional Collaboration
Since the role requires working with various stakeholders, think of examples where you've successfully collaborated across different teams. Highlight your communication skills and how you ensure alignment on project goals.
✨Understand the Media Landscape
Familiarise yourself with the media and entertainment industry, particularly how data science is shaping it. Being able to discuss current trends and challenges in the sector will show your genuine interest and insight into the company's operations.
