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For Companies At a Glance
- Tasks: Lead AI projects to enhance insurance processes using Google Cloud tools.
- Company: Join a leading insurance firm at the forefront of AI innovation.
- Benefits: Enjoy a 6-month contract with flexible working options and cutting-edge technology.
- Why this job: Shape the future of insurance while driving real business impact with AI solutions.
- Qualifications: Experience in Product Management with a focus on AI in the insurance sector is essential.
- Other info: Opportunity to work with top-tier AI talent and influence industry transformation.
The predicted salary is between 43200 - 72000 £ per year.
Are you passionate about leveraging Data Science and Generative AI to transform the insurance industry? We’re looking for a Product Manager to lead a cutting-edge GenAI project within a leading insurance firm, utilizing Google Cloud AI tools, including Gemini, Vertex AI, and BigQuery.
The Role:
As the Product Manager, you will drive the strategy, development, and deployment of AI-powered solutions that enhance underwriting, claims automation, fraud detection, and customer experience. Working closely with Data Scientists, AI Engineers, and Insurance SMEs, you will ensure GenAI models deliver real business impact while aligning with regulatory and ethical AI principles.
Key Responsibilities:
- Define and execute the AI product strategy, roadmap, and success metrics.
- Work with Data Science and Engineering teams to build and scale GenAI applications for insurance use cases.
- Oversee the integration of Google Cloud AI tools (Vertex AI, BigQuery, Gemini API) into core business processes.
- Engage with underwriters, actuaries, claims teams, and risk analysts to ensure AI-driven insights are actionable.
- Ensure compliance with AI governance, ethical AI principles, and industry regulations (GDPR, FCA, EU AI Act).
- Stay ahead of AI trends in insurance, driving innovation in risk modelling, claims automation, and customer personalization.
What We’re Looking For:
- Proven experience as a Contractor in Product Management leading AI, Data Science, or GenAI initiatives in insurance.
- Strong understanding of Google Cloud AI tools (Vertex AI, BigQuery, Gemini API) and their application in insurance.
- Track record of delivering AI-powered products from concept to deployment in a regulated environment.
- Ability to translate complex AI models into practical business applications for underwriting, claims, and fraud detection.
- Knowledge of insurance industry workflows, regulatory requirements, and AI-driven transformation trends.
- Experience with LLMs, NLP, and predictive analytics in insurance is a plus.
Why Join Us?
- Lead AI innovation in a rapidly evolving insurance landscape.
- Work with top-tier AI talent and cutting-edge Google Cloud technologies.
- Drive real business impact through AI-powered underwriting, claims, and fraud solutions.
- Be part of an AI-first culture, shaping the future of insurance technology.
Ready to transform insurance with AI? Apply now or reach out for a confidential chat!
Data Science & GenAI Product Manager employer: Eden Smith Group
Contact Detail:
Eden Smith Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Science & GenAI Product Manager
✨Tip Number 1
Familiarise yourself with Google Cloud AI tools, especially Vertex AI and BigQuery. Understanding how these tools can be applied in the insurance sector will give you a significant edge during discussions with our team.
✨Tip Number 2
Stay updated on the latest trends in AI and data science within the insurance industry. Being able to discuss recent innovations or case studies will demonstrate your passion and knowledge during interviews.
✨Tip Number 3
Network with professionals in the insurance and AI fields. Engaging with industry experts can provide insights into the challenges and opportunities in the sector, which you can leverage in your conversations with us.
✨Tip Number 4
Prepare to discuss how you've successfully delivered AI-powered products in regulated environments. Sharing specific examples of your past experiences will help illustrate your capability to drive impactful projects at StudySmarter.
We think you need these skills to ace Data Science & GenAI Product Manager
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in Product Management, particularly in AI and Data Science within the insurance sector. Use specific examples of projects you've led that align with the job description.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for leveraging Data Science and Generative AI in the insurance industry. Mention your familiarity with Google Cloud AI tools and how you can drive innovation in this role.
Highlight Relevant Skills: Emphasise your understanding of regulatory requirements and ethical AI principles. Include any experience with LLMs, NLP, and predictive analytics, as these are valuable in the context of the role.
Showcase Your Impact: In your application, provide concrete examples of how your previous work has delivered real business impact. This could include metrics or outcomes from AI-powered products you've managed, especially in regulated environments.
How to prepare for a job interview at Eden Smith Group
✨Showcase Your AI Knowledge
Make sure to highlight your understanding of Data Science and Generative AI, especially in the context of the insurance industry. Be prepared to discuss specific tools like Google Cloud's Vertex AI and BigQuery, and how you've used them in past projects.
✨Demonstrate Strategic Thinking
As a Product Manager, you'll need to define and execute product strategies. Prepare examples of how you've successfully developed and implemented product roadmaps in previous roles, particularly those involving AI solutions.
✨Engage with Real-World Applications
Be ready to discuss how you can translate complex AI models into practical applications for underwriting, claims automation, and fraud detection. Use case studies or examples from your experience to illustrate your points.
✨Understand Regulatory Compliance
Familiarise yourself with the regulatory landscape surrounding AI in insurance, including GDPR and the EU AI Act. Be prepared to discuss how you would ensure compliance while driving innovation in AI-powered solutions.
