LON Data Scientist
Role details
Job location
Tech stack
Job description
As Data Scientist your main responsibilities will involve: Driving data-led decision-making in our business, working with stakeholders to help them understand how data & AI can assist them in meeting their requirements. You will assist colleagues in setting strategy for activities using data & AI, informing on the art-of-the-possible and best-practice. The role-holder will use AI/ML and data science techniques to reduce the need for manual work, including analysis of structured numerical data and application of LLMs and similar tools to unstructured data. They will promote an automation-first mindset where possible and use data to tell compelling narratives and communicate in simple language to deliver tangible impact. This will involve using established AI technologies and exploring future AI capabilities. The role-holder will be a vocal proponent of both good data & AI practices and will be able to communicate these ideas to non-experts. They will ensure that high standards of code development are met, including adherence to code management best practices and team policies such as submission and review of pull requests. They will work with the business teams to build knowledge and confidence with data as well as collaborating with colleagues across the Zurich Group internationally to share knowledge and enhance the data analytics capabilities for our collective AI communities., As an inclusive employer we want to ensure that all candidates feel comfortable and are able to perform at their best during the interview. You'll have the opportunity to let us know of any reasonable adjustment or practical support needed when you apply.
Requirements
We seek someone passionate about AI, data and advanced analytics, willing to challenge the status quo, and proficient in AI/ML in a commercial setting. The ideal candidate is creative, curious, and logical in problem-solving. This is an excellent opportunity to join a dynamic, supportive team working on diverse insurance topics. We value a supportive team culture and independence in work. If this sounds like you, we look forward to your application. We offer flexible working arrangements, including part-time, flexible hours, job share, remote work, or compressed hours, as we aim to attract the best talent. Discuss your flexibility needs with us during the interview., * 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.
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Enthusiastic to work on problems which have never been attempted before.
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Proficient in Python and modern software development practices within a team of developers e.g. use of Git.
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Experience using SQL and working with databases. Comfortable working with a variety of data sources, both structured and unstructured and very large datasets using distributed computing (e.g. spark).
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Experience working with LLMs to deliver value in a commercial organisation, including how to manage and monitor LLM-based applications to maximise performance.
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Experience working with cloud technology, ideally Microsoft Azure and/or AWS.
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Proven track record of development and deployment of machine learning algorithms, including supervised and unsupervised learning techniques.
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Excellent collaboration and organisation skills.
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Proficient communicator, who is comfortable explaining the value of their work to drive adoption and challenge the status quo, both to technical and non-technical audiences.
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Comfortable working in a business environment where the answer might not be clear-cut yet understanding the need to be practical and to deliver for the business.
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Ability to think proactively and 'join the dots' across a complex landscape to see the bigger picture.
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An understanding of the importance of team culture, and a demonstrable ability to act as a role model to maintain a culture of curiosity, support and honesty.
Nice to have:
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Knowledge of R or other programming languages
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Knowledge of current UK AI/ML compliance and regulation.
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Experience with AWS Sagemaker
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Experience with Snowflake
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Experience with Databricks