Astrum Search
Senior Data Scientist – AI, Risk & Assurance
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Senior Data Scientist – AI, Risk & Assurance
Global FTSE PLC
To £130,000 + car allowance + 40% bonus
Astrum Search is delighted to be supporting a leading global organisation in the appointment of a Senior Data Scientist – AI, Risk & Assurance.
This is a unique opportunity sitting at the intersection of data science, artificial intelligence, risk, and assurance. Rather than joining an established data science function, you will have the opportunity to help build a new capability from the ground up, using machine learning, advanced analytics, and AI to transform how a global organisation identifies risk, detects fraud and error, and delivers continuous assurance.
Working within a Group Risk and Internal Audit function, you will have significant autonomy to shape the use of data and AI across the audit lifecycle, while working closely with senior stakeholders and teams across a complex, international business.
Responsibilities:
- Help shape and deliver the Internal Audit function’s AI, data science, and analytics strategy
- Develop and deploy machine learning, statistical, and AI models to identify emerging risks, anomalies, fraud, error, and control weaknesses
- Analyse full data populations to provide deeper and more forward-looking insight than traditional sample-based approaches
- Build data pipelines, analytical tools, dashboards, and models that support continuous auditing and risk monitoring
- Work with audit and risk teams to identify opportunities where data and AI can improve the effectiveness and efficiency of assurance activities
- Help develop the organisation’s approach to AI assurance, including model risk, transparency, fairness, governance, and responsible AI
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Skills & Experience:
- Strong experience in Data Science, Machine Learning, Advanced Analytics, AI, or a closely related discipline
- Proven track record of developing and implementing analytics, machine learning, or AI solutions in a real-world business environment
- Strong Python or R and SQL skills, with experience using visualisation and BI tools such as Power BI
- Hands-on experience across machine learning, statistical modelling, and AI, with an understanding of responsible and effective model application
- Experience working with modern cloud and data platforms such as Azure, AWS, GCP, or Snowflake, alongside data pipelines and large-scale datasets
- Experience within risk, controls, assurance, or Internal Audit would be advantageous, but is not essential
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If you are a Data Scientist looking for an opportunity to move beyond traditional data science and apply AI and advanced analytics to real-world business risk, this represents a rare opportunity to build something genuinely new within a complex, global organisation.
With significant senior-level visibility, access to extensive data, and the autonomy to shape the capability, this is a role where your work can fundamentally change how a global business identifies and manages risk.
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