Principal Product Manager – Data Science & Machine Learning

XO; London; On-site; GBP 85,000 - 120,000; Full time

Job summary

A leading technology company seeks a Principal Product Manager specializing in Data Science & Machine Learning to lead strategic AI initiatives. The role involves defining product vision and collaborating with data teams to enhance user experience through sophisticated solutions, managing complex projects, and ensuring effective communication with stakeholders.

Qualifications

• 8+ years of experience in product management, 3 years in AI/ML or data science products.
• Strong understanding of ML concepts and data pipelines.
• Experience with cloud-based ML platforms is a plus.

Responsibilities

• Define product vision, strategy, and roadmap for AI/ML initiatives.
• Collaborate with engineering teams to deploy scalable ML models.
• Drive A/B testing and iterative improvements for optimization.

Skills

Product Management

Machine Learning

Data Science

Stakeholder Management

Analytical Skills

Problem-Solving

Communication

Education

Bachelor’s degree in business, computer science, engineering, or related field

MBA or relevant advanced degree

Tools

AWS

GCP

Azure

Job description

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Principal Product Manager – Data Science & Machine Learning, London

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Client:

XO

Location:

London, United Kingdom

Job Category:

Other

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EU work permit required:

Yes

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Job Reference:

569383f67aab

Job Views:

3

Posted:

25.06.2025

Expiry Date:

09.08.2025

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Job Description:

Job Profile

We are seeking a highly experienced and strategic Principal Product Manager – Data Science & Machine Learning to drive the vision, strategy, and execution of AI/ML-powered products. You will work closely with data scientists, engineers, and cross-functional teams to build scalable machine learning solutions that enhance user experience and drive business impact.

Vista Tech plays a vital role in the Vista group operations by delivering and accelerating comprehensive technology solutions across all brands. Vista’s end-to-end and click-to-flight solutions offer the industry's only comprehensive flight booking platform, seamlessly integrating global operations, and leveraging AI and machine learning to optimize pricing and fleet movement. Comprised of the Product Management, Engineering, and IT teams, Vista Tech’s mission is to enhance transparency and accessibility in private aviation through the development of the world's largest digital private aviation marketplace. In achieving this, Vista Tech always ensures the utmost safety and efficiency for FLIGHT CREW, EMPLOYEES and Members, while fostering a culture of innovation and excellence.

Your Responsibilities

• Define and own the product vision, strategy, and roadmap for machine learning and data science initiatives.
• Collaborate with engineering and data science teams to develop and deploy scalable AI/ML models.
• Identify customer and business problems that can be addressed through AI/ML solutions.
• Work closely with stakeholders to translate business requirements into actionable ML-driven features and capabilities.
• Drive experimentation, A/B testing, and iterative improvements to optimize model performance and product outcomes.
• Partner with engineering teams to ensure seamless integration of machine learning models into production environments.
• Develop success metrics and monitor the impact of machine learning initiatives on key business KPIs.
• Stay informed on the latest advancements in AI/ML technologies and identify opportunities to incorporate them into our products.
• Communicate effectively with executives and cross-functional teams to ensure alignment on product goals and priorities.

Required Skills, Qualifications, and Experience

• Bachelor’s degree in business, computer science, engineering, or a related field; MBA or relevant advanced degree is a plus.
• 8+ years of experience in product management, with at least 3 years focused on AI/ML or data science products.
• Strong understanding of machine learning concepts, data pipelines, and AI-driven applications.
• Experience working closely with data science and engineering teams to bring ML models to production.
• Proven ability to manage complex, technical projects with multiple stakeholders.
• Strong analytical and problem-solving skills, with a data-driven approach to decision-making.
• Excellent communication and stakeholder management skills.
• Experience with cloud-based ML platforms (., AWS, GCP, Azure) is a plus.