Bayesian Data Scientist -Series C HealthTech

About the Company: * American Series C HealthTech start up in revenue stage * $200m funding (recent funding is Feb 2025). * Fully remote within the UK About the Job: We’re seeking a skilled Data Scientist with strong expertise in Bayesian and probabilistic modelling, combined with knowledge of modern AI techniques like generative models and advanced inference.

Responsibilities

• Design and implement Bayesian and probabilistic models for real-world challenges.
• Develop reusable predictive features and inference tools optimised for performance.
• Apply techniques like Bayesian neural networks, variation inference, Markov Chain Monte Carlo, Gaussian processes, and diffusion models.
• Collaborate across teams to integrate models into production systems.
• Analyse data rigorously to validate models and provide actionable insights.

Requirements

• Experience with Bayesian inference methods, including MCMC, variational inference, expectation-maximisation, and probabilistic graphical models.
• Proficient in Python and probabilistic programming frameworks such as PyMC, NumPyro, or TensorFlow Probability.
• Familiar with classical machine learning and deep learning frameworks, including transformers and diffusion models.
• Strong skills in feature engineering, model evaluation, calibration, and uncertainty quantification Ability to translate complex problems into structured, data-driven solutions.

Robert Walters Operations Limited is an employment business and employment agency and welcomes applications from all candidates