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Data Scientist (AI)

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Onsite

Data Scientist (AI)

Morson Edge (Financial Services)

Data Scientist (AI)

Skills

SQL QueriesTableauPythonData ScienceNumPypandasDatabricksData AnalysisMachine LearningAIPower BIAzure

25 days ago

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Important information


Contract type:

Permanent

Salary:

£50,000 – £63,000 / year

Location:

London, UK

Work mode:

Onsite

Published on:

28 September 2026

What they need


Data Scientist (AI) – Gen AI, AI Validation Machine Learning , Data Science, Python, Stakeholder engagement, Project Delivery – Financial Services – Permanent - offering up to £60,000 Base + Bonus

My client, a leading Financial Service Organisation is seeking a Data Science and Machine Learning professional to join their Audit and Assurance team on a permanent Basis.

You will be responsible to support clients focussed on Model and Data Risk, as well as building and deploying AI products to support the transformation.

You will deliver advanced data analytics and data science solutions using tools such as Python, Azure, Databricks, SQL, Tableau, and Power BI, while developing innovative AI and machine learning capabilities to support evolving audit and assurance needs. The role will involve reviewing internal and third-party AI, data science, and cloud-based solutions, as well as supporting clients with large-scale data handling, modelling, and analytics.

You will also be responsible for communicating complex insights in a clear and impactful way to both technical and non-technical stakeholders, ensuring recommendations drive meaningful business outcomes.

What We’re Looking For

  • Experience working across Generative AI / AI Validation Projects
  • Hands-on experience with Python (pandas, numpy, scikit-learn).
  • Strong understanding of machine learning, statistics, and probability.
  • Experience deploying supervised and unsupervised ML models.
  • End-to-end data science project delivery experience.
  • Ability to apply data science through a commercial/business lens.
  • Strong communication and stakeholder management skills.
  • Self-driven team player with a collaborative mindset.

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