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- Tasks: Lead AI initiatives, improve existing systems, and drive impactful outcomes.
- Company: Dynamic consumer-facing organisation focused on innovation and excellence.
- Benefits: Competitive salary, bonus, hybrid work, and strong investment in AI.
- Other info: High visibility role with excellent growth opportunities in a supportive environment.
- Why this job: Shape the future of AI delivery and make a real impact.
- Qualifications: Proven experience in AI/ML, strong Python skills, and hands-on leadership.
The predicted salary is between 120000 - 155000 £ per year.
Pulse Recruit has been exclusively retained to appoint a Principal Data Scientist into a high-impact, consumer-facing organisation at a really interesting point in its evolution. This is not a traditional data science role. This is about direction through hands-on technical leadership. It’s about taking what already exists and making it genuinely excellent. You’ll shape how AI is built and deployed, staying close enough to the work to challenge, guide and improve it.
This role sits at the intersection of Product, Engineering, and Leadership. You’ll play a key role in defining direction by owning outcomes end-to-end, either delivering directly or guiding teams to the right solution. You’ll be working across multiple teams, helping bring modern AI capabilities into production in a way that genuinely impacts customers and the business. This is a position focused on ownership, innovation, and impact, with a strong emphasis on leadership, communication, and driving change across the organisation.
What you’ll be doing:
- Owning problems end-to-end, delivering directly or guiding teams to the right outcome
- Leading high-impact initiatives from ideation through to production
- Working closely with Product, Engineering, and senior stakeholders to deliver real outcomes, not just recommendations
- Staying close to the work. Prototyping, reviewing, and challenging where needed
- Driving best practices across model development, deployment, evaluation, and scalability
- Reviewing and improving AI systems already in production
- Identifying gaps in performance, evaluation, and observability
- Aligning multiple teams on standards, tooling, and technical approach
- Using Data Science to directly move business metrics
What we’re looking for:
- Proven experience operating at Principal or Staff level (not a people manager)
- Technically credible. Able to get hands-on when needed and challenge effectively
- Experience working with AI/ML systems in production
- Strong Python, modelling, and experimentation background
- Experience improving or scaling existing systems, not just building from scratch
- Comfortable working across teams and influencing without authority
- Commercially aware and able to connect work to real outcomes
Why this role stands out:
- True ownership – shape how AI is delivered, not just what gets built
- High visibility – direct impact on business-critical systems already in production
- Backed from the top – genuine investment in AI and data science
- Opportunity to influence how a large organisation scales AI in a practical, real-world way
Package & Details:
- £120k–£155k DOE + Bonus + Benefits
- Hybrid (UK-based)
- Must have the right to work in the UK (no sponsorship available)
Data Science Vice President in Plymouth employer: Pulse Recruit
Contact Detail:
Pulse Recruit Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Science Vice President in Plymouth
✨Tip Number 1
Network like a pro! Reach out to people in your industry on LinkedIn or at events. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio or a GitHub repository showcasing your projects. This is your chance to demonstrate your hands-on experience with AI/ML systems.
✨Tip Number 3
Prepare for interviews by practising common questions and scenarios related to data science leadership. We want you to feel confident discussing how you can drive change and impact.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who take the initiative to connect directly with us.
We think you need these skills to ace Data Science Vice President in Plymouth
Some tips for your application 🫡
Show Your Hands-On Experience: Make sure to highlight your hands-on experience with AI/ML systems in production. We want to see how you've taken existing systems and made them better, so share specific examples of your work that demonstrate this.
Emphasise Leadership Skills: This role is all about leadership and guiding teams to success. Use your application to showcase your ability to influence without authority and how you've led high-impact initiatives in the past.
Connect to Real Outcomes: We’re looking for someone who can link their work to tangible business results. In your application, make sure to explain how your data science efforts have directly impacted business metrics or customer experiences.
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 see what you bring to the table!
How to prepare for a job interview at Pulse Recruit
✨Understand the Role's Unique Focus
This isn't your typical data science gig, so make sure you grasp the nuances of hands-on technical leadership. Familiarise yourself with how to take existing systems and elevate them rather than starting from scratch. Be ready to discuss specific examples where you've improved or scaled AI/ML systems.
✨Showcase Your Leadership Skills
Since this role involves guiding teams and influencing without authority, prepare to share experiences where you've led initiatives or projects. Highlight your ability to communicate effectively across different teams, especially with Product and Engineering, to drive real outcomes.
✨Be Ready to Discuss Technical Challenges
Expect questions about your experience with AI systems in production. Brush up on your Python skills and be prepared to dive into technical discussions about model development, deployment, and evaluation. Think of specific challenges you've faced and how you overcame them.
✨Connect Your Work to Business Outcomes
This role is all about making a tangible impact on business metrics. Prepare to articulate how your previous work has directly influenced business success. Use metrics and examples to demonstrate your commercial awareness and the real-world implications of your data science efforts.