5 of 5 Remote Predictive Modelling Jobs in the City of London

culture ✔ Hybrid working with flexible hours and career development support What You’ll Be Doing Analysing operational and performance data from nuclear systems and infrastructure Building dashboards, reports, and predictive models to inform business and engineering decisions Working closely with engineers, scientists, and leadership teams to translate data into action Supporting continuous improvement and regulatory reporting processes Contributing to More ❯

insight and drive impactful business decisions. Your Responsibilities: Analyse complex datasets: Work with large volumes of financial data to identify trends, patterns, and insights that drive strategic decisions. Support predictive modeling: Collaborate on the development of machine learning models to forecast financial outcomes and optimise business processes. Develop data-driven solutions: Create algorithms and tools that automate and enhance … Mathematics, Computer Science, Engineering, or related fields. Proficiency in programming languages: Experience with Python and SQL for data analysis, manipulation, and modeling. Basic understanding of machine learning: Familiarity with predictive modeling techniques and algorithms, in particular NLP, LLM's and Time Series Forecasting. Experience with data visualisation tools: Knowledge of tools like Tableau/Power BI, or similar to More ❯

management systems. Ensure systems meet business requirements and adhere to industry best practises. Develop, implement, automate, and maintain large-scale enterprise data ETL processes. Build high-performance algorithms, prototypes, predictive models, and proof of concepts. Collaborate with data architects, modellers, and IT team members to achieve project goals. Execute plans and policies that control, protect, and enhance the value More ❯

technical teams in configuring extraction tools, refining scripts, and ensuring clean data outputs. Data insights – Uncovering key trends in client data and presenting meaningful insights to inform their strategies. Predictive models – Customising existing models to meet client needs and assessing feasibility for new analytics solutions. Cohort analysis – Defining target groups, testing interventions, and iterating approaches based on client feedback. … sector clients, they enable them to proactively address complex societal challenges like financial vulnerability and housing instability. Their approach integrates disparate datasets, applies cutting-edge machine learning, and utilises predictive analytics to pinpoint those most in need. Our platform transforms this information into actionable insights, equipping professionals with the tools to intervene early and drive meaningful change. In the More ❯

environment that encourages experimentation and autonomy, backed by global infrastructure and top-tier clients. The Role You’ll be embedded in a high-performing data team focused on delivering predictive models, NLP solutions, and data products that drive business value in the insurance domain. Working end-to-end, you’ll lead modelling efforts from data wrangling to deployment … ll Do Develop and deploy machine learning models including classification, regression, and clustering Work across the full model lifecycle: data prep, EDA, feature engineering, training, evaluation, and scaling Build predictive and propensity models for underwriting and claims Apply NLP and OCR for document classification and summarisation Collaborate with clients and cross-functional teams to translate data into action What … science and ML experience Expert in Python and modern data science libraries Experience with AWS SageMaker, Databricks, or similar cloud tools Strong background in supervised/unsupervised learning, statistical modelling, and model deployment Solid understanding of NLP techniques for document processing Domain experience in insurance (e.g., underwriting, claims) Ability to work in a fast-paced, client-facing environment Perks More ❯