6 of 6 Statistical Modelling Jobs in the East of England

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 ❯

quality of health and social care services, learning from best practice (national/international), both internally and externally. Assess the effectiveness of different advanced statistical and data science modelling approaches and advise data scientists on best tools and approaches to support organisational commitments. Manage competing demands for Data 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 ❯

with a leading Personal Lines Insurer who are seeking a Technical Pricing Manager. The successful candidate will be responsible for the production of specialist statistical risk models across a range of products. As a Technical Pricing Manager , you’ll drive strategic change by enhancing model sophistication and leveraging the … support profitable business growth. Key Responsibilities: Develop and refine complex actuarial models to deliver high-impact, innovative pricing solutions Conduct ad-hoc actuarial and statistical analyses, working with stakeholders across the business to address diverse challenges Produce reports, documentation, and presentations to effectively communicate statistical models and insights … to key stakeholders Requirements: Proficiency in data science techniques using Python or R Expertise in statistical analysis software, with knowledge of Willis Towers Watson (Emblem, Radar) being highly desirable Strong understanding of pricing and underwriting principles, preferably within personal or commercial lines at a large business scale Ability to More ❯