AI Application Lead

2 weeks ago

Fareham, Hampshire, United Kingdom Zurich Australian Insurance Ltd. Full time
AI Application Lead (Part-Time, Job-Share, Full-Time)

Location: UK base (hybrid or fully remote)

Closing date for applications:

Zurich is undergoing a digital transformation, with data and AI at its core. We are seeking an innovative, visionary AI expert to take a leading role in AI and ML at Zurich. As a member of our Data Science team in the UK, you will work with colleagues to develop and deploy AI applications, leveraging your expertise in AI/ML to drive business value.

We are looking for someone who is proficient in using AI/ML to solve business problems, and is passionate about people, enjoying mentoring and supporting colleagues to do the same. You will be an expert in creating applications out of AI deliveries, with a deep knowledge of AI/ML and the ability to build user interfaces while working with business stakeholders to ensure we deliver what they need.

This is an excellent opportunity to take advantage of emerging AI trends to make a real-world difference. To do this, we are looking for an individual with a passion for innovative AI technology and who wants to work with a team of talented data scientists and engineers to design and develop the next generation of our data solutions.

You will take a key role in our digital transformation, redefining the way we work, our solutions, and enterprise platforms.

As AI application lead, your main responsibilities will involve:

  1. Developing a strategy for updating and improving our existing portfolio of AI applications, ensuring we continue to use the best of our technology from the Zurich estate while providing best value to the business.
  2. Developing AI applications in conjunction with colleagues, with a focus on the end-user experience, including UI development, and resilient design through MLOps.
  3. Acting as a thought-leader for UI development best-practice on AI applications at Zurich, including how we present a consistent and resilient offering to the business.
  4. Developing and deploying AI applications using cloud tools in Azure and AWS, using infrastructure-as-code.
  5. Understanding company challenges and how integrating AI capabilities can help create solutions. Working to solve business problems using ML/AI, in situations where the requirements may be ambiguous.
  6. Collaborating with colleagues to identify and prioritize key areas of our business where AI solutions can drive significant business benefit.
  7. Ensuring high ethical standards are set and maintained when using ML/AI at Zurich.
  8. Translating technology to business users, to motivate and excite them to use and apply AI technology. Acting as an advocate for AI/ML in the business, communicating our work to stakeholders and emphasizing its business value.

We are looking for someone with:

  1. Experience deploying AI applications in a commercial environment, particularly where these applications have driven significant business value.
  2. Experience creating user interfaces and business applications to enable non-technical users to interact with AI applications. Experience in front-end development using frameworks such as React, Angular, to build intuitive and user-friendly interfaces.
  3. Comfortable with taking a strategic approach to AI application development, advising on how to best offer a consistent package and keeping up-to-date as technology develops.
  4. Strong knowledge of AI/ML technology and development practices.
  5. Experience using Microsoft Azure and/or AWS cloud services and Python to deliver machine learning solutions in a commercial environment, as part of an end-to-end solution, working within CI/CD and MLOps practices.
  6. Python proficiency, comfortable handling pull requests for junior and senior team members.
  7. Exceptional communication skills, including the ability to articulate complex data issues and to gain the support from internal and external and executive stakeholders.
  8. Strong analytical, structured, and interdisciplinary way of thinking and working, including the ability to think creatively with data and being comfortable with complex and ambiguous problem-solving.

Nice to have:

  1. Knowledge of SQL and R.
  2. Experience with AWS Sagemaker.
  3. Master's degree or PhD in Physics, Mathematics, Data Science, or Computer Science, or related equivalent.

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