London (Hybrid, 2-3 days onsite per week)

Company:

This private equity and investment start-up are focused on streamlining and improving performance by reimagining value creation capabilities. They are utilising cutting-edge AI to generate performance insights on each aspect of the investment lifecycle.

Responsibilities:

• Build machine learning predictive models to anticipate/avoid asset downtime and reducing customer churn
• Evaluate and optimise all models, identifying areas for development
• Work end-to-end both building and deploying models
• Stay updated with the latest developments in ML/AI, and related fields to keep the company at the forefront of technological advancements
• Stay updated on emerging technologies, trends, to recommend and implement innovative solutions that drive business value.
• Remaining technically very hands on whilst mentoring

Requirements: