5 of 5 Statistical Modelling Jobs in the East of England

with cross-functional teams to integrate AI/ML models with business applications and systems. Train, evaluate, and optimize models using machine learning and statistical techniques. Conduct extensive data exploration, analysis, and preprocessing to ensure data quality for AI/ML applications. Develop and apply data science methodologies to … extract insights from large-scale structured and unstructured datasets. Utilise predictive analytics, time series forecasting, and statistical models to drive business decision-making. Stay updated on the latest advancements in AI/ML and data science technologies. Develop and maintain comprehensive documentation for AI/ML pipelines, data workflows … Proficiency in Python, R, or other relevant programming languages. Proficiency in working with large datasets, data wrangling, and data preprocessing. Experience in data science, statistical modelling, and data analytics techniques. Experience with data analysis and visualization tools (e.g., Matplotlib, Seaborn, Tableau). Ability to work independently and lead More ❯

design. Key Responsibilities Develop and implement machine learning models for analyzing complex biological and genomic datasets. Apply deep learning, natural language processing (NLP), and statistical modeling techniques to solve key challenges in drug discovery and development. Work closely with computational biologists, bioinformaticians, and wet-lab scientists to integrate AI More ❯

and Microsoft Office suite. Knowledge of data management tools, coding, and data visualization (e.g., Alteryx, Snowflake, Python, R, SAC, Power BI). Knowledge of statistical modeling techniques (e.g., linear regression) is desirable but not essential. Basic financial understanding is preferred but not essential. Interest in developing data science and More ❯

would be joining a team of fast-moving problem solvers working on diverse projects including cyber security, front end application development, detailed analytical and statistical modelling and innovation in areas from machine vision to big data processing using Cloud services and beyond. In this role you will be … developing solutions using Microsoft Power Platform (Power Apps (canvas and model driven apps), Power Automate, Power BI) and MS Dynamics 365. Proficiency in data modelling, integration and customisation within Power Platform: knowledge of data architecture/design and experience and comfortable with Agile methodologies. A combination of these certifications More ❯

a degree with mathematical content and programming skills Relevant experience (Post-Doctoral or industrial) in robotics, data fusion, tracking/estimation, pattern discovery & recognition, statistical inference, optimisation and machine/deep learning algorithms along with real-time implementation, and/or validation & verification is a strong advantage Experience in … theory of evidence Machine Learning for regression and pattern recognition/discovery problems e.g. Gaussian processes, latent variable methods, support vector machines, probabilistic/statistical models, neural networks, Bayesian inference, random-forests, novelty detection, clustering Deep Learning e.g. Deep reinforcement learning, Monte-Carlo tree search, deep regression/classification More ❯