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- Tasks: Lead a team of data scientists to innovate in AI-powered advertising.
- Company: A top customer intelligence company at the forefront of technology.
- Benefits: Attractive salary, flexible work options, and opportunities for professional growth.
- Why this job: Shape the future of advertising with cutting-edge AI and data science.
- Qualifications: 8+ years in ML/AI and 3+ years in leadership roles.
- Other info: Join a dynamic team driving impactful change in the industry.
The predicted salary is between 72000 - 108000 £ per year.
A leading customer intelligence company is seeking a VP Data Science to oversee the Data Science function within their AI-powered advertising platform. This role requires a leader with 8+ years of experience in ML/AI systems and at least 3 years in a leadership position, guiding a distributed team of data scientists.
Responsibilities include:
- Defining the Data Science roadmap
- Managing multi-agent workflows
- Collaborating with engineering and product teams
The ideal candidate will be proficient in Python and have a strong understanding of agentic AI systems.
VP of Data Science & Agentic AI Leadership employer: Acxiom UK
Contact Detail:
Acxiom UK Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land VP of Data Science & Agentic AI Leadership
✨Tip Number 1
Network like a pro! Reach out to your connections in the data science and AI fields. Attend industry events or webinars where you can meet potential employers or colleagues who might know about openings. Remember, it’s all about who you know!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving ML/AI systems. This is your chance to demonstrate your expertise in Python and agentic AI systems. Make sure it’s easily accessible when you’re chatting with recruiters.
✨Tip Number 3
Prepare for interviews by brushing up on your leadership experience. Be ready to discuss how you've guided teams and managed workflows in previous roles. Use specific examples that highlight your ability to define a Data Science roadmap and collaborate effectively.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might be perfect for you. Plus, applying directly can sometimes give you an edge over other candidates. So, get your application in and let’s make it happen!
We think you need these skills to ace VP of Data Science & Agentic AI Leadership
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the specific skills and experiences mentioned in the job description. Highlight your 8+ years in ML/AI systems and any leadership roles you've held, as we want to see how you fit into our vision.
Showcase Your Projects: Include examples of projects where you've defined a Data Science roadmap or managed multi-agent workflows. We love seeing real-world applications of your expertise, especially if they relate to AI-powered platforms.
Be Clear and Concise: When writing your cover letter, get straight to the point. We appreciate clarity, so outline your leadership experience and technical skills in a way that’s easy for us to digest. No fluff, just the good stuff!
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 the role. Plus, it shows us you’re keen on joining our team!
How to prepare for a job interview at Acxiom UK
✨Know Your Stuff
Make sure you brush up on your knowledge of ML/AI systems, especially agentic AI. Be ready to discuss your past projects and how you've led teams in this space. We recommend preparing specific examples that showcase your expertise in Python and your leadership experience.
✨Define Your Vision
Since the role involves defining the Data Science roadmap, think about what that means for you. Prepare to articulate your vision for the future of data science within an AI-powered platform. We suggest outlining a few key strategies or innovations you would implement if given the role.
✨Collaboration is Key
This position requires working closely with engineering and product teams. Be ready to discuss how you've successfully collaborated with cross-functional teams in the past. We recommend sharing specific instances where your teamwork led to successful project outcomes.
✨Ask Insightful Questions
Interviews are a two-way street! Prepare thoughtful questions about the company's current data science initiatives and challenges they face. This shows your genuine interest in the role and helps us see how you might fit into the team.