Data Scientist
Up to 90,000
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.
Requirements:
- MSc or PhD Degree in Computer Science, Artificial Intelligence, Mathematics, Statistics or related fields.
- Strong coding skills in Python and SQL
- Strong communication skills, with the ability to work effectively in a fast-paced, collaborative environment.
How to Apply:
Please register your interest by sending your CV to Emily Burgess via the Apply link on this page.
Keywords:
Machine Learning, Data Science, start-up, Investment, Equity
