At a Glance
- Tasks: Lead the Data Science Centre, enhance analytics, and drive client growth.
- Company: Leading marketing firm in London with a focus on innovation.
- Benefits: Competitive salary, leadership opportunities, and a dynamic work environment.
- Why this job: Shape strategy and spearhead innovation in a fast-paced industry.
- Qualifications: Extensive analytics experience and strong leadership skills.
- Other info: Join a culture of innovation and influence cross-functional teams.
The predicted salary is between 43200 - 72000 £ per year.
A leading marketing firm is hiring a Head of Data Science in London. The successful candidate will lead the Data Science Centre of Excellence, enhancing analytical capabilities, driving client growth, and fostering a culture of innovation. This senior role requires extensive experience in analytics, strong leadership, and the ability to influence cross-functional teams. The position offers a compelling opportunity to shape strategy and spearhead innovation in a dynamic environment.
Head of Data Science — Media Analytics Leader in London employer: Dentsu Aegis Network Ltd.
Contact Detail:
Dentsu Aegis Network Ltd. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Head of Data Science — Media Analytics Leader in London
✨Tip Number 1
Network like a pro! Reach out to industry contacts on LinkedIn or attend relevant events. We all know that sometimes it’s not just what you know, but who you know that can help you land that dream role.
✨Tip Number 2
Showcase your expertise! Prepare a portfolio of your past projects and achievements in data science. When you’re in interviews, we want you to highlight how your work has driven client growth and innovation.
✨Tip Number 3
Practice makes perfect! Conduct mock interviews with friends or mentors. We suggest focusing on leadership scenarios and how you’ve influenced cross-functional teams in your previous roles.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive and engaged with our company.
We think you need these skills to ace Head of Data Science — Media Analytics Leader in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the specific skills and experiences that align with the Head of Data Science role. Highlight your leadership experience and any relevant projects that showcase your analytical capabilities.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to tell us why you're passionate about data science and how you can drive client growth. Be sure to mention how you foster innovation in your previous roles.
Showcase Your Impact: When detailing your past experiences, focus on the impact you've made. Use metrics and examples to illustrate how you've enhanced analytical capabilities or influenced cross-functional teams in your previous positions.
Apply Through Our Website: We encourage you to apply directly through our website for the best chance of getting noticed. It’s the easiest way for us to keep track of your application and ensure it reaches the right people!
How to prepare for a job interview at Dentsu Aegis Network Ltd.
✨Know Your Data Inside Out
As a Head of Data Science, you’ll need to demonstrate your deep understanding of analytics. Brush up on the latest trends in media analytics and be ready to discuss how you've applied data-driven strategies in previous roles.
✨Showcase Your Leadership Skills
This role is all about leading teams and influencing others. Prepare examples of how you've successfully led cross-functional teams in the past, focusing on your approach to fostering collaboration and innovation.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving skills in real-world scenarios. Think about challenges you've faced in data science and how you overcame them, especially in a marketing context.
✨Align with Company Values
Research the company’s culture and values. Be ready to explain how your vision for the Data Science Centre of Excellence aligns with their goals, particularly in driving client growth and enhancing analytical capabilities.