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Aviva plc is seeking an AI/ML Specialist (Tech & Data Audit) to lead data-driven projects uncovering risks in Internal Audit. You will analyse complex datasets, build predictive models, and craft visual insights using Tableau, QlikView or Power BI. Proficiency in Python and SQL, plus ML and NLP, are essential.
Strong communication with senior stakeholders is required. Responsibilities include developing dashboards, exploring AI tools, and presenting actionable recommendations to leadership.
AI/ ML Specialist (Tech & Data Audit)
Salary: circa £55,000
Locations: Bristol/ Sheffield/ Glasgow/ Norwich/ Leeds/ Birmingham/ Eastleigh/ Manchester/ Newcastle/ Leatherhead/ York
As a AI/ ML Specialist (Tech & Data Audit), you will lead data-driven initiatives to help uncover risks for our Internal Audit function. You will analyse complex datasets, build predictive models, and create visual insights using visualization tools like Tableau, QlikView, or Power BI. Your role involves collaborating with internal audit stakeholders to understand their analytics needs and translating them into actionable insights.
Moreover you will explore cutting edge AI and Machine learning tools to deliver products and value to the business.
Proficiency in Python and SQL, along with experience in machine learning (ML) and natural language processing (NLP), is essential. AI development experience is a big plus.
This position requires a strong analytical mindset and excellent communication skills to effectively present findings and recommendations to senior management.
Our purpose - with you today, for a better tomorrow – is a promise we make to our colleagues too. And one of the ways we live up to that promise is by investing in you. We have so much to offer when it comes to being an Aviva colleague.
We’re inclusive and welcome everyone – we want applications from all backgrounds and experiences. Excited but not sure you tick every box? Even if you don’t, we would still encourage you to apply. We also consider all forms of flexible working, including part time and job shares.
We flex locations, hours and working patterns to suit our customers, business, and you. Most of our people are smart working – spending around 50% of their time in our offices every week - combining the benefits of flexibility, with time together with colleagues.
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