About this role
Salary: £80,000 - 90,000 per year
Requirements: Masters or PhD degree2+ years of relevant experience in statistics, mathematics, computer science, or equivalent experience with research experienceProven experience applying machine learning techniques to solve business problemsProven experience translating technical methods to non-technical stakeholdersStrong programming experience in Python and relevant analytics libraries such as pandas, numpy, matplotlib, scikit-learn, statsmodels, pymc, pytorch/tf/keras, and langchainExperience with version control using GitHubExperience with machine learning methods including causality, Bayesian statistics and optimization, survival analysis, design of experiments, longitudinal analysis, surrogate models, transformers, Knowledge Graphs, Agents, Graph NNs, Deep Learning, or computer visionAbility to write production code and work with object-oriented programmingR and C++ experience is optional Responsibilities: We will develop new internal knowledge and build AI and machine learning models and pipelinesWe will support client discussions, prototype development, and deployment with client delivery teamsWe will contribute to research and development topics across our life sciences, global energy and materials, and advanced industries practicesWe will help answer industry questions about how AI can be used for therapeutics, chemicals, and materials including small molecules, proteins, mRNA, and polymersWe will work in a multi-disciplinary team and help build our reputation in scientific AIWe will use advanced mathematics, statistics, and machine learning to help shape our scientific AI offering in our London officeWe will support the development of the data science and analytics roadmap across cell-level initiativesWe will deliver capabilities, models, and insights with client teams and clientsWe will ensure statistical validity and output quality of analytics and AI/ML modelsWe will translate results for senior stakeholdersWe will write optimized code to advance our Data Science Toolbox and codify analytical methodologies for future deployment Technologies: AIComputer VisionGitHubSupportKerasMachine LearningPyTorchPythonnumpypandas More:
We are a global firm with colleagues across 65+ countries and over 100 nationalities, and we foster a high-performance, high-reward culture built on continuous learning, apprenticeship, coaching, and career growth. We offer a competitive salary based on your location, experience, and skills, along with a comprehensive benefits package that supports holistic well-being for you and your family. In this role, you will join our Life Sciences practice and our global scientific AI team, based in our London office, working across life sciences, global energy and materials, and advanced industries with exposure to cutting-edge AI teams and client-facing delivery work.
last updated 36 week of 2026