Senior Machine Learning Product Manager (Deploy)

AKUR8
London
10 months ago
Applications closed

Related Jobs

View all jobs

Senior Machine Learning Engineer, NLP

Senior Machine Learning Engineer

Senior Machine Learning Scientist - Search

Senior Machine Learning Engineer (AI Platform)

Senior Machine Learning Engineer (AI Platform)

Senior Machine Learning Engineer (AI Platform)

ABOUT US



Akur8 is a young, dynamic, fast growing Insurtech scale-up that is transforming insurance pricing and reserving with transparent machine learning.


Our SaaS platform leverages the power of transparent machine learning and predictive analytics to inject game-changing speed, performance and reliability into insurers’ pricing and reserving processes.


Powered by skilled R&D, Product & Actuarial teams we’ve developed unique AI algorithms that automate the insurance pricing and reserving in an unprecedented manner.


This results in a pricing solution that enables insurance companies to model risks 10 times faster with greater predictive power than traditional methods, whilst including next-generation reserving features, offering an end-to-end platform that anticipates and accounts for future claims.


Akur8 has already been selected:


  • In CB Insights Top 50 World Insurtech Companies 2024
  • In Insurtech Global’s Top 100 AIFinTech list 2024
  • In Fintech Global’s Top 100 AIFinTech list 2024
  • In CNBC’s World Top 150 Insurtech Companies 2024


With 42 nationalities on our team and offices in 8 major global cities, Akur8’s solution is international by design, serving over 320+ clients across 4 continents, and focusing on mature markets to drive faster growth.


To learn more about Akur8, and what we do, click here.


Akur8 is, in all senses of the term, an equal opportunities employer. Akur8 puts diversity, equality and inclusion at the heart of its values. We examine all applications based on equal skills and applying the principles of non-discrimination.





ROLE


Deploy is Akur8’s rating engine, the final step in our end-to-end vision, where all steps of pricing - from data analysis, to modeling, to ratemaking - are streamlined into one modern, powerful and efficient software.


As a new product under active development, there are numerous opportunities and challenges, providing a bridge between two key functions in insurance.


Whilst on the actuarial side it focuses on extracting insights from data and making statistical decisions for the business; on the IT side it concentrates on maintaining and producing reliable systems.


In insurance, the different skillsets and perspectives required for these two sides are currently are solved via inefficient processes and handoffs, which Deploy aims to solve in order to provide synergy and alignment so as to increase time-to-market. Solving these challenges requires a deep understanding of both IT and Actuaries objectives, how they are organized, and mapping the complex ecosystem that is behind an insurance product and its pricing.


Akur8 is looking for a Senior Product Manager motivated by problem solving, capable of deep diving on details, and who shows innovative approaches to finding intuitive solutions to seemingly complex problems.


We're looking for a profile who is highly focused on product definition, problem solving and design skillset, rather than solely a person whose main responsibility is to align priorities across the stakeholders.


The Senior Product Manager position is a cross-functional role, providing a wide range of interactions with various internal teams such as Product Design & Engineering, as well as Sales & Marketing.


Being a Product Manager in our organisation requires acquiring knowledge of how the different parts of our platform interact, and then abstracting customer problems in a framework so as to find clean solutions with solutions to complex challenges.


Main responsibilities:


  • Constantly acquiring a deep understanding of actuarial ratemaking, and IT deployment challenges(product models, Policy Admin System design)
  • Leading user interviewsto deeply understand end user challenges and objectives
  • Defining frameworks and solutions to solve user challengesby prioritizing what matters and what doesn’t
  • Collaborate with Engineersto codesign and scope the features for internal development squads
  • Animating training sessionsfor clients, prospects and colleagues




PROFILE


For this key role within our Product Management team we’re keen to speak to applicants that meet the following criteria.


You have:


  • A Masters degree or PhDin a quantitative discipline
  • 3+ years experience in Insurance industry, with interactions with either pricing actuarial teams or IT (pricing or policy admin systems)
  • 3+ years experience in a quantitative position, such as Data Scientist, Engineering or Product Manager.


  • A sound understanding of machine learning concepts, models, and algorithms
  • Excellent quantitative & analytical skills


  • Very strong problem solving skillswith a focus on providing and creating robust solutions
  • Ability to provide detailed, focused and deep product requirementsand system reactions
  • Team leadership or management experience


  • Effective communication skills (to exchange with both technical & non-technical stakeholders / clients).
  • A collaborative mindset(capability to work as part of a team in a dynamic environment)


  • Fluent English language skills


Important: You must possess the authorisation to work in the relevant country (whether France / USA / Canada or the United Kingdom).


In exceptional circumstances / for exceptional candidates, we are equally open to the visa sponsorship as long as they meet the above criteria & are already in possession of their final diploma / attestation of their final academic results.




BENEFITS



According to geographical territory, and to be stipulated during the interview process.

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.

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.

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.

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.