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- Tasks: Lead a team of data scientists to innovate in AI-powered advertising.
- Company: A leading customer intelligence company in the UK.
- Benefits: Competitive salary, leadership opportunities, and a chance to shape the future of marketing tech.
- Why this job: Drive impactful AI solutions and lead a talented team in a dynamic environment.
- Qualifications: 8+ years in ML/AI, strong Python skills, and expertise in agentic AI.
- Other info: Strategic role with hands-on technical leadership in a fast-paced industry.
The predicted salary is between 54000 - 84000 £ per year.
A recognized customer intelligence company in the UK is seeking a VP Data Science to lead their Data Science function for an AI-powered advertising platform. The successful candidate will manage a distributed team of senior data scientists, define the long-term roadmap for agentic AI, and drive innovative solutions in marketing technology.
Candidates should have over 8 years of experience in ML or AI, with strong Python skills and expertise in agentic AI systems. This leadership role combines strategy with hands-on technical leadership.
VP Data Science: Lead Agentic AI & Scalable ML in London employer: Acxiom UK
Contact Detail:
Acxiom UK Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land VP Data Science: Lead Agentic AI & Scalable ML in London
✨Tip Number 1
Network like a pro! Reach out to industry contacts on LinkedIn or attend relevant meetups. We all know that sometimes it’s not just what you know, but who you know that can land you that VP role.
✨Tip Number 2
Showcase your expertise! Create a portfolio or a blog where you share insights on agentic AI and scalable ML. This not only demonstrates your knowledge but also makes you stand out in the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical skills and leadership strategies. We recommend practising common interview questions related to AI and data science to ensure you’re ready to impress.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace VP Data Science: Lead Agentic AI & Scalable ML in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in ML and AI, especially any leadership roles you've had. We want to see how your skills align with our needs for the VP Data Science position.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Tell us about your vision for agentic AI and how you plan to lead our team. Keep it engaging and relevant to the role.
Showcase Your Technical Skills: Don’t forget to mention your strong Python skills and any specific projects that demonstrate your expertise in agentic AI systems. We love seeing real-world applications of your knowledge!
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’re considered for this exciting opportunity!
How to prepare for a job interview at Acxiom UK
✨Know Your AI Inside Out
Make sure you brush up on the latest trends and advancements in agentic AI and scalable ML. Be prepared to discuss how these technologies can be applied in marketing tech, as well as your own experiences leading projects in this area.
✨Showcase Your Leadership Skills
As a VP, you'll need to demonstrate your ability to lead a distributed team effectively. Prepare examples of how you've managed teams in the past, focusing on your approach to mentoring senior data scientists and driving innovation.
✨Be Ready for Technical Questions
Expect to dive deep into technical discussions, especially around Python and machine learning algorithms. Brush up on your coding skills and be ready to solve problems on the spot or explain your thought process clearly.
✨Define Your Vision
Think about the long-term roadmap for agentic AI that you would propose. Be ready to articulate your vision for the future of data science in advertising and how you plan to drive innovative solutions within the company.
