Product Owner

Candour Solutions
London
1 year ago
Applications closed

Related Jobs

View all jobs

Data Scientist

Principal Data Scientist

Principal Data Scientist

Machine Learning and AI Engineering Lead

Principal Data Scientist

Principal Data Scientist

Product Owner- Financial services - London (2 days in central London) - up to £85,000 Bonus Extensive benefits package As a Product Owner with this team, you’ll be joining a growing and ambitious Product division within the insurance space. You will be the key link between their customers and stakeholders as well as working within the financial services function which includes core PAS platform and internal analytics platform. This team embraces hybrid-working practices, balancing the ability to work remotely with the culture and energy they experience when they are face-to-face in the offices and collaborating. This team thrives on doing things differently and is constantly seeking to evolve. If you are looking for a new opportunity where you can excel – this is it. (Must be in a Product role to apply.) (Must have experience in the insurance space.) Key Responsibilities Customer Liaison: collaborate with the leadership team in setting and driving the strategic agenda for all applications within the Underwriting function to ensure they support goals Ensure the provision of all applications to meet the quality, resilience, and usability of all user groups. Nurture ideas and propose solutions to existing function problems, determine roadmaps for the applications, and manage or liaise with support teams to achieve goals and objectives. Ensure all Claims function applications are robust, secure, scalable, and comply with regulatory mandates and standards. Manage, inspire, and develop the team. Ensure they have the necessary capabilities/training to perform their roles to the highest standards. Promote a commercially oriented culture. Provide relevant strategic management information to stakeholders Adopt a value-focused approach to technology leadership, maximizing commercial return on investment, whilst effectively managing a finite budget. About the Opportunity 3 Years as a Product Owner experience Technical background in software delivery and digital platforms is valuable for this role Strong analytical skills and complex problem solving are parament to the success of this role. A key feature of the role is the ability to communicate a product vision and a set of objectives, as well as deliver change through teams (both internal and third-party). Communication & stakeholder management: The role requires a strong ability to communicate effectively and influence at different levels of the organisation. Strong knowledge of Agile principles and processes. A good understanding of Databricks is beneficial A good understanding of Machine learning is beneficial Some of the amazing Benefits BUPA Private medical cover Private Dental Financial wellbeing support Mental health support Season ticket loan Sharesave scheme Employee discounts Regular socials Buying holidays option 25 days holiday extending to 28 after years in service Extra days off for special occasions of your choice Apply today for interviews commencing immediately. Product Owner- Financial services - London (2 days central London) - up to £85,000 Bonus Extensive benefits package

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.

Maths for AI Jobs: The Only Topics You Actually Need (& How to Learn Them)

If you are a software engineer, data scientist or analyst looking to move into AI or you are a UK undergraduate or postgraduate in computer science, maths, engineering or a related subject applying for AI roles, the maths can feel like the biggest barrier. Job descriptions say “strong maths” or “solid fundamentals” but rarely spell out what that means day to day. The good news is you do not need a full maths degree worth of theory to start applying. For most UK roles like Machine Learning Engineer, AI Engineer, Data Scientist, Applied Scientist, NLP Engineer or Computer Vision Engineer, the maths you actually use again & again is concentrated in a handful of topics: Linear algebra essentials Probability & statistics for uncertainty & evaluation Calculus essentials for gradients & backprop Optimisation basics for training & tuning A small amount of discrete maths for practical reasoning This guide turns vague requirements into a clear checklist, a 6-week learning plan & portfolio projects that prove you can translate maths into working code.

Neurodiversity in AI Careers: Turning Different Thinking into a Superpower

The AI industry moves quickly, breaks rules & rewards people who see the world differently. That makes it a natural home for many neurodivergent people – including those with ADHD, autism & dyslexia. If you’re neurodivergent & considering a career in artificial intelligence, you might have been told your brain is “too much”, “too scattered” or “too different” for a technical field. In reality, many of the strengths that come with ADHD, autism & dyslexia map beautifully onto AI work – from spotting patterns in data to creative problem-solving & deep focus. This guide is written for AI job seekers in the UK. We’ll explore: What neurodiversity means in an AI context How ADHD, autism & dyslexia strengths match specific AI roles Practical workplace adjustments you can ask for under UK law How to talk about your neurodivergence during applications & interviews By the end, you’ll have a clearer picture of where you might thrive in AI – & how to set yourself up for success.

AI Hiring Trends 2026: What to Watch Out For (For Job Seekers & Recruiters)

As we head into 2026, the AI hiring market in the UK is going through one of its biggest shake-ups yet. Economic conditions are still tight, some employers are cutting headcount, & AI itself is automating whole chunks of work. At the same time, demand for strong AI talent is still rising, salaries for in-demand skills remain high, & new roles are emerging around AI safety, governance & automation. Whether you are an AI job seeker planning your next move or a recruiter trying to build teams in a volatile market, understanding the key AI hiring trends for 2026 will help you stay ahead. This guide breaks down the most important trends to watch, what they mean in practice, & how to adapt – with practical actions for both candidates & hiring teams.