Senior Product Manager - AI, ML & Data Science

DataCareers
London
9 months ago
Applications closed

Related Jobs

View all jobs

Senior Data Scientist

On Senior Lead - Machine Learning Engineering

Senior Data Scientist

Senior MLOps Engineer

Senior MLOPs Engineer

Senior Simulation Engineer (Data Science)

Senior Product Manager - AI, ML & Data Science

Remote (UK-based) | Competitive Salary (up to £70k) & Benefits

Are you passionate about harnessing data, analytics, and AI to drive innovation? Do you thrive in a product leadership role within a fast-paced, technology-driven environment? If so, we have an exciting opportunity for you!

About the Role

Our client, a global leader in education technology, is seeking aSenior Product Managerto shape the future of their data-driven AI and Machine Learning products. This role is central to their mission of transforming digital assessment solutions, ensuring authenticity, inclusivity, and academic integrity for learners worldwide.

You'll be responsible for:

  • Driving product strategy- defining and executing the roadmap for data analytics, reporting, and integrations.
  • Leveraging AI & data science- using advanced analytics and machine learning to enhance user experiences and decision-making.
  • Leading cross-functional collaboration- working closely with engineering, data science, marketing, and sales teams to bring innovative solutions to life.
  • Engaging with customers- gathering insights and feedback to ensure the product remains cutting-edge and competitive.
  • Optimizing product performance- defining key success metrics and continuously improving the platform based on user data.

What We're Looking For

  • Proven experienceas a Product Manager in a SaaS, software, or ideally EdTech environment.
  • Strong analytical mindset- a background in data science, AI, or machine learning is essential. Degree educated in a STEM discipline such as Mathematics, Statistics, Computer science etc.
  • Excellent problem-solving skills- with a strategic approach to product development.
  • Outstanding communication and leadership- the ability to influence stakeholders and drive innovation.
  • A passion for education technology- and a desire to shape the future of digital assessments.

Why Join?

  • Work with cutting-edge technology in an industry-leading company.
  • Fully remote role - flexibility to work from anywhere in the UK.
  • Opportunity to make a real impact on the future of learning and assessment.

If you're ready to take on this exciting challenge, apply today and be part of a team that's redefining digital assessment!

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Careers

How Many AI Tools Do You Need to Know to Get an AI Job?

If you are job hunting in AI right now it can feel like you are drowning in tools. Every week there is a new framework, a new “must-learn” platform or a new productivity app that everyone on LinkedIn seems to be using. The result is predictable: job seekers panic-learn a long list of tools without actually getting better at delivering outcomes. Here is the truth most hiring managers will quietly agree with. They do not hire you because you know 27 tools. They hire you because you can solve a problem, communicate trade-offs, ship something reliable and improve it with feedback. Tools matter, but only in service of outcomes. So how many AI tools do you actually need to know? For most AI job seekers: fewer than you think. You need a tight core toolkit plus a role-specific layer. Everything else is optional. This guide breaks it down clearly, gives you a simple framework to choose what to learn and shows you how to present your toolset on your CV, portfolio and interviews.

Jobs

What Hiring Managers Look for First in AI Job Applications (UK Guide)

Hiring managers do not start by reading your CV line-by-line. They scan for signals. In AI roles especially, they are looking for proof that you can ship, learn fast, communicate clearly & work safely with data and systems. The best applications make those signals obvious in the first 10–20 seconds. This guide breaks down what hiring managers typically look for first in AI applications in the UK market, how to present it on your CV, LinkedIn & portfolio, and the most common reasons strong candidates get overlooked. Use it as a checklist to tighten your application before you click apply.

Education

The Skills Gap in AI Jobs: What Universities Aren’t Teaching

Artificial intelligence is no longer a future concept. It is already reshaping how businesses operate, how decisions are made, and how entire industries compete. From finance and healthcare to retail, manufacturing, defence, and climate science, AI is embedded in critical systems across the UK economy. Yet despite unprecedented demand for AI talent, employers continue to report severe recruitment challenges. Vacancies remain open for months. Salaries rise year on year. Candidates with impressive academic credentials often fail technical interviews. At the heart of this disconnect lies a growing and uncomfortable truth: Universities are not fully preparing graduates for real-world AI jobs. This article explores the AI skills gap in depth—what is missing from many university programmes, why the gap persists, what employers actually want, and how jobseekers can bridge the divide to build a successful career in artificial intelligence.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.