7 of 7 Remote/Hybrid Statistics Jobs in Central London

intelligent conversational agents. Dive into the world of traditional NLP techniques and stay ahead of the curve. Apply a strong understanding of fundamental concepts-statistics, linear algebra, calculus, regression, classification, and time series analysis – to extract valuable insights from data. Be the driving force behind our data visualisation efforts – whether ...

tools, techniques, and industry trends Proactively raising risks, issues, or concerns with appropriate stakeholders Personal Profile Qualifications & Experience Essential Degree in Computer Science, Mathematics, Statistics, or a related discipline Strong proficiency in Python or R for data analysis Experience working with SQL and relational databases Proven experience building and deploying ...

technical authority within the team, guiding junior data scientists and shaping the research culture. Requirements for the role: Academic Background: Strong foundation in Mathematics, Statistics, Computer Science or Physics (PhD or MSc preferred). Research Expertise: Deep understanding of Machine Learning theory, specifically in areas like Time-Series Forecasting , Probabilistic ...

technical expert when engaging with customers on ML technologies Required Skills & Experience MSc or PhD in Computer Science, Machine Learning, Mathematics, Statistics, or similar Strong Python programming skills Experience with PyTorch, TensorFlow, or optimisation libraries (e.g. Gurobi, OR-Tools) Strong technical communication and stakeholder engagement skills Ability to write clean ...

SQL. Good knowledge of Azure Databricks and modern data technologies. Experience with WTW Radar software and optimisation tools. A quantitative degree in Mathematics, Statistics, Engineering, Physics, Computer Science, or Actuarial Science. Excellent communication skills to convey complex technical concepts to technical and non-technical audiences. A passion for innovation, continuous ...

learning models in PyTorch Experience training large models across multiple GPUs and compute nodes Deep understanding of machine learning theory including linear algebra, probability, statistics and optimisation Experience with deep learning for computer vision, ideally including 3D imaging and or self-supervised learning Strong Python and PyTorch skills, with ...

Language Models (LLMs) and Generative AI (GAI), with hands-on experience in LangGraph, LlamaIndex, OpenAI APIs, and Model Context Protocol (MCP). Knowledge of statistics, probability, and model evaluation techniques. experience with Retrieval-Augmented Generation (RAG) and vector databases like Pinecone or Weaviate. Proven track record of designing, developing, deploying ...