AI Product Manager - Data Science
AI Product Manager - Data Science

AI Product Manager - Data Science

Full-Time 48000 - 72000 £ / year (est.) No home office possible
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At a Glance

  • Tasks: Lead AI product lifecycle and collaborate with data scientists and engineers.
  • Company: Vitol, a global leader in energy and commodities with a collaborative culture.
  • Benefits: Competitive salary, dynamic work environment, and opportunities for professional growth.
  • Why this job: Shape the future of AI in the energy sector and make a real impact.
  • Qualifications: 3+ years in product management with a focus on AI/ML and analytics.
  • Other info: Join a small, innovative team tackling impactful challenges in the industry.

The predicted salary is between 48000 - 72000 £ per year.

Vitol is a leader in energy and commodities. Vitol produces, manages and delivers energy and commodities, including metals, to consumers and industry worldwide. In addition to its primary business, trading, Vitol is invested in infrastructure globally, with $13+billion invested in long-term assets. Vitol’s customers include national oil companies, multinationals, leading industrial companies and utilities. Founded in Rotterdam in 1966, today Vitol serves its customers from some 40 offices worldwide. Revenues in 2024 were over $330bn.

We are looking for a pragmatic AI Product Manager to join our global Data Science team. This role will own the product lifecycle for Vitol's key AI assets, working closely with data scientists, machine learning engineers, and commercial stakeholders across trading, operations, and support functions. This is a hands-on role that combines traditional product management with project management. You will be responsible for translating business needs into product requirements, managing delivery timelines, and ensuring our AI tools deliver measurable value to the business. As our AI portfolio continues to grow you will help shape the roadmap, prioritise features, and drive adoption across the organisation.

The successful candidate will join a small, collaborative team of experienced practitioners who are solving some of the most challenging and impactful problems the energy industry is facing, as well as pushing the boundaries around the 'art of the possible'. As a small team, everyone is expected to organise, prioritise and execute their own work with a strong focus on maximising business value.

Key Accountabilities
  • Define and communicate the product vision, strategy, and roadmap for Vitol's AI portfolio in collaboration with the Data Science leads.
  • Capture, document, and prioritise requirements from commercial stakeholders across trading, operations, and support functions, translating business needs into clear specifications for data scientists and engineers.
  • Help manage the end-to-end project lifecycle for AI initiatives, from scoping and planning through to delivery and post-launch evaluation.
  • Act as a key liaison between the Data Science team and business users, ensuring alignment on priorities, timelines, and expectations.
  • Drive user adoption of AI tools across the organisation, developing training materials, gathering feedback, and iterating on product features.
  • Coordinate with technology teams on application integration, data sourcing, infrastructure, and tooling requirements.
  • Track and report on product performance, usage metrics, and business impact to senior stakeholders.
  • Identify opportunities for new AI applications that address commercial challenges and contribute to Vitol's competitive advantage.
Qualifications
  • Minimum 3 years of experience in product management, with demonstrable experience managing technical products (AI/ML, analytics).
  • Strong requirements capture and documentation skills; ability to translate loose business needs into structured specifications.
  • Experience managing projects with cross-functional teams, including delivery planning, stakeholder management, and risk mitigation.
  • Excellent communication skills, both written and verbal; able to engage effectively with technical teams and commercial stakeholders.
  • Analytical mindset with the ability to use data to inform product decisions and measure success.
  • Self-motivated and comfortable working autonomously in a fast-paced, entrepreneurial environment.
  • Team player with an open, non-political style and high level of personal integrity.

AI Product Manager - Data Science employer: Vitol

Vitol is an exceptional employer, offering a dynamic work environment where innovation meets collaboration. As part of our global Data Science team, you will have the opportunity to work on cutting-edge AI projects that directly impact the energy industry, all while benefiting from a culture that prioritises personal growth and professional development. With a strong focus on teamwork and a commitment to maximising business value, Vitol provides a unique platform for you to thrive in your career while contributing to meaningful solutions in a rapidly evolving sector.
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Contact Detail:

Vitol Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land AI Product Manager - Data Science

✨Tip Number 1

Network like a pro! Reach out to people in the industry, especially those at Vitol or similar companies. A friendly chat can open doors that a CV just can't.

✨Tip Number 2

Prepare for interviews by understanding the AI landscape and Vitol's role in it. Show us you know your stuff and can talk about how AI can solve real-world problems in energy and commodities.

✨Tip Number 3

Don’t just wait for job postings! Keep an eye on our website and apply directly. Sometimes, the best opportunities come from being proactive and showing your interest.

✨Tip Number 4

Follow up after interviews with a thank-you note. It’s a simple gesture that shows your enthusiasm and keeps you fresh in their minds. Plus, we love a bit of personality!

We think you need these skills to ace AI Product Manager - Data Science

Product Management
AI/ML Knowledge
Requirements Capture
Documentation Skills
Project Management
Stakeholder Management
Risk Mitigation
Communication Skills
Analytical Mindset
Data-Driven Decision Making
User Adoption Strategies
Collaboration with Cross-Functional Teams
Training Material Development
Performance Tracking

Some tips for your application 🫡

Show Your Passion for AI: When you're writing your application, let your enthusiasm for AI and product management shine through. We want to see how your experience aligns with our mission at Vitol and how you can contribute to our innovative projects.

Tailor Your CV and Cover Letter: Make sure to customise your CV and cover letter for the AI Product Manager role. Highlight relevant experiences that showcase your skills in managing technical products and working with cross-functional teams. This helps us see why you're a great fit!

Be Clear and Concise: In your written application, clarity is key! Use straightforward language and structure your thoughts logically. This will help us understand your qualifications and how you can add value to our team without any confusion.

Apply Through Our Website: Don't forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it shows you’re serious about joining our team at Vitol.

How to prepare for a job interview at Vitol

✨Know Your AI Stuff

Make sure you brush up on your knowledge of AI and machine learning concepts. Be ready to discuss how these technologies can be applied in the energy sector, especially in trading and operations. Showing that you understand the technical side will impress the interviewers.

✨Understand the Business

Familiarise yourself with Vitol's business model and the challenges they face in the energy market. Think about how AI can solve specific problems for them. This will help you articulate how you can add value as an AI Product Manager.

✨Prepare for Scenario Questions

Expect questions that ask you to solve hypothetical problems or manage projects. Practice articulating your thought process clearly and concisely. Use examples from your past experience to demonstrate your project management skills and how you've successfully driven product adoption.

✨Show Your Collaborative Spirit

Vitol values teamwork, so be prepared to discuss how you work with cross-functional teams. Share examples of how you've liaised between technical and commercial stakeholders in the past. Highlight your communication skills and your ability to align different teams towards a common goal.

AI Product Manager - Data Science
Vitol

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