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