1 to 25 of 41 Remote Predictive Modelling Jobs in London

engineering, model design, training, and deployment. Perform data mining, exploration, and statistical analysis to uncover trends and actionable insights. Create data visualizations, reports, dashboards, and perform data audits. Leverage predictive models to optimize customer experiences and drive business outcomes. Create automated anomaly detection systems to monitor and ensure data quality and operational performance. Desired Requirements Bachelor's degree in More ❯

data analytics capabilities on the platform that enable processing, analysis, and visualization of geospatial and sensor data. Develop algorithms and tools for geospatial analysis, pattern recognition, anomaly detection, and predictive modeling using machine learning techniques. Real-Time Data Processing: Build real-time or near-real-time data processing systems to deliver actionable insights to end-users. Optimize data flows More ❯

helping the business make smarter, data-driven decisions at scale. Key Responsibilities Lead customer-centric analytics projects across retention, segmentation, churn prediction, product usage, and personalization Build and maintain predictive models (e.g. churn, CLV, next-best action, recommendation systems) and translate insights into business value Conduct deep-dive analyses into customer journeys, identifying behavioral trends and opportunities for intervention More ❯

helping the business make smarter, data-driven decisions at scale. Key Responsibilities Lead customer-centric analytics projects across retention, segmentation, churn prediction, product usage, and personalization Build and maintain predictive models (e.g. churn, CLV, next-best action, recommendation systems) and translate insights into business value Conduct deep-dive analyses into customer journeys, identifying behavioral trends and opportunities for intervention More ❯

analysis and modeling User research understanding to complement quantitative insights Curious, collaborative team player able to prioritise in a fast-paced environment Nice to have: Familiarity with customer segmentation, predictive modeling, and machine learning techniques. Prior experience supporting data-driven product roadmaps and experimentation programmes A keen interest in trading and/or investing Basic knowledge of HTML, CSS More ❯

direct and immediate impact on the future profitability and growth of the business, with key targets to increase conversion, retention and achieve target loss ratios. Responsibilities: Developvalidate and review predictive models including machine learning models Run data for modelling, pricing and monitoring Development and delivery of up to date and accurate datasets for modelling, pricing and monitoring. …/send instructions for rate releases and review of rates into rate engine/live environment. Develop a balanced view of current and future pricing performance by combining MI, modelling results and company targets Maintenance of records to coordinate pricing decisions and implementation across teams, decision making bodies and implementation pathways Execution, development and project management across all stages … manipulate large datasets for analysis Experienced in the use of programming language (e.g. SAS) and/or statistical packages e.g. actuarial pricing software Experience in SOME of the following predictive modelling techniques e.g. Logistic Regression, Log-Gamma GLMs, GBMs, Elastic Net GLMs, GAMs, Decision Trees, Random Forests, Support Vector Machines and Neural Nets Experienced in the use of More ❯

direct hand in strategic projects, all while enjoying the flexibility of hybrid working and the rewards of a generous bonus scheme.You’ll be part of a specialist Asset Risk Modelling Team, operating in a collaborative, matrix-style environment. Your work will include model development, enhancement, and delivering forecasting models while ensuring outputs are accurate, robust, and clearly communicated.You’ll … partner with SMEs to own outcomes, mentor junior analysts, and engage with external experts to stay ahead of best practice. From modelling the impact of electric vehicle transitions to refining customer pricing models, your influence will be felt across the business... sound like you? Apply now! What experience you’ll need to apply: Solid track record in forecasting and … model updates - both operational enhancements and full development projects - with the ability to clearly communicate outcomes to stakeholders Strong problem-solving skills, able to design creative and commercially strong modelling solutions Commercially aware, with a good understanding of market trends and the financial impact of modelling decisions A strong academic background (Bachelor’s or Master’s) in Statistics More ❯

Deliver measurement and effectiveness projects, including dashboard reporting and deep dive evaluations to understand the impact marketing has on customer behaviour Deliver and take lead on customer projects (segmentation, modelling), utilising statistical techniques to develop a deep understanding of customers Ensure that the most relevant methodologies are applied to measure and evaluate, proactively recommending better ways of working Develop … implementing and managing reporting dashboard design, update and automation using tools such as PowerBI, Tableau and Looker Studio Good knowledge of advanced data analysis techniques that include customer segmentation, predictive modelling, multivariate analysis, querying and reporting tools, A/B testing and statistical significance We believe the best work happens when we're together, fostering creativity, collaboration, and More ❯

on shaping our pricing models. As a Pricing Analyst, you will use your advanced analytical skills to: Monitor our portfolio and deliver innovative pricing solutions, Use a blend of predictive analytics and commercial acumen to distil key trends and identify pricing actions, Contribute to the profitability of the products by meeting loss ratio targets and protecting capacity providers' financial … results by balancing product volume and profitability The Pricing portfolio management team is responsible for developing new modelling techniques and processes and building and refreshing the risk models that underpin our rates that need to operate effectively in the aggregator channels. Key Responsibilities: Support the design, development and implementation of a robust and innovative performance monitoring framework Contribute to … impact analytics. Work closely with the Underwriting team on risk appetite, product development and innovation supporting progression by providing performance and market analytical insight. Work closely with the Technical Modelling team on peril risk cost models ensuring product performance dynamics are suitably captured and fed back in technical models. Contribute to delivery of the pricing roadmap in line with More ❯

the design and deployment of scalable ML/AI capabilities on top of the data infrastructure to enhance our applications and business processes. - Deliver high-impact initiatives such as predictive modeling, advanced analytics, and intelligent automation. - Collaborate with Product and Engineering to embed ML/AI into core application features and workflows. - Establish success metrics and a governance model More ❯

term HR process, employee experience, and solution strategies that enable Swiss Re's business objectives Data Analytics Excellence - Lead the People Analytics team in developing comprehensive analytics strategies, building predictive models, and creating advanced reporting capabilities that drive organizational insights and strategic decision-making Innovation Leadership - Drive partnerships between HR COEs and Group Digital and Technology to optimize HR … processes, including strategy development, service delivery, human capital management technologies, with ability to translate business needs into technology requirements Advanced expertise in people analytics, data visualization, statistical analysis, and predictive modelling for workforce insights, with experience leading HR data analytics teams and building capabilities within HR functions Experience working with enterprise HRIS platforms (Workday, SAP SuccessFactors, Oracle HCM 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 ❯

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 ❯

projects will cover a broad range of topics, from working with engineers to implement event tracking on our platforms, all the way to generating data insights and sometimes building predictive models, ultimately helping our Product organisation deliver great products, which solve meaningful user problems. You and your team are part of a larger Product Analytics group, and will be More ❯

projects will cover a broad range of topics, from working with engineers to implement event tracking on our platforms, all the way to generating data insights and sometimes building predictive models, ultimately helping our Product organisation deliver great products, which solve meaningful user problems. You and your team are part of a larger Product Analytics group, and will be More ❯

narratives. Support the development and implementation of Digital Healthcare applications for medical and scientific tools, RWE new ways of generating real data, patients engagement. Support the design and develop predictive models and generative AI solutions using diverse healthcare data sources, including clinical trials data, electronic health records, wearable devices, patient-reported outcomes, HEOR data, phase IV studies. Ensuring compliance More ❯

Now, were turning that data into intelligent systems that keep Britain moving. As Head of AI Engineering , youll lead a team tackling real-world challenges with direct impact. Think predictive models that anticipate breakdowns before they happen, intelligent routing to optimise thousands of roadside patrols, and agentic AI that transforms customer service. This is your chance to be part More ❯

of new initiatives, product launches, or market expansions Conduct competitive and market analysis to inform pricing, packaging, and GTM strategies Identify growth levers through data analysis, customer insights, and predictive modelling Who You Are: 3+ years of experience in a Commercial Analyst, Business Analyst, or FP&A role-preferably in a SaaS environment Strong understanding of SaaS metrics More ❯

narratives. Support the development and implementation of Digital Healthcare applications for medical and scientific tools, RWE new ways of generating real data, patients' engagement. Support the design and develop predictive models and generative AI solutions using diverse healthcare data sources, including clinical trials data, electronic health records, wearable devices, patient-reported outcomes, HEOR data, phase IV studies. Ensuring compliance More ❯

narratives. Support the development and implementation of Digital Healthcare applications for medical and scientific tools, RWE new ways of generating real data, patients engagement. Support the esign and develop predictive models and generative AI solutions using diverse healthcare data sources, including clinical trials data, electronic health records, wearable devices, patient-reported outcomes, HEOR data, phase IV studies. Collaborate with More ❯

insights, trends, and recommendations Collaborating with internal teams to enhance survey design, benchmarks, and insight reporting within the core product Developing scalable frameworks and methodologies (e.g., drivers of engagement, predictive models, ROI models) Contributing to content development including case studies, customer playbooks, and white papers Mentoring team members and act as a subject matter expert on people science and More ❯

platform, enabling our partners to self-serve by creating their own end-to-end data workflows, from ingestion through transforming data and evaluating experiments to analyzing usage and running predictive models. We provide a solid data foundation to support various highly impactful business and product-focused projects. We're looking for a Senior Data Infrastructure engineer to join us More ❯

This is a hybrid role combining deep data science expertise with production-grade ML engineering. You'll be a driving force behind our performance marketing automation: designing experiments, building predictive models, and deploying them at scale to help optimise product bidding and maximise profit across platforms like Google Shopping. Expect to work across the full ML lifecycle-from exploring More ❯

will contribute to planning, execution, interpretation, validation and communication of innovative exploratory analyses and algorithms, to facilitate internal decision making. You will provide technical expertise in data science and (predictive) machine learning/AI to identify opportunities for influencing internal decision making as well as discussions on white papers/regulatory policy. You will perform hands-on analysis of … methods, variable selection methods (e.g., lasso, elastic net, random forest), design of clinical trials. Strong programming skills in R and Python. Demonstrated knowledge of data visualization, exploratory analysis, and predictive modeling. Excellent interpersonal and communication skills (verbal and writing) Ability to develop and deliver clear and concise presentations for both internal and external meetings in key decision-making situations. More ❯

hypotheses : Design, develop, and implement a range of experiments which will test and validate hypotheses across channels, segments and audiences which will derive actionable insights and decision making. Develop predictive models: develop, test and implement predictive models to inform business decisions, such as customer segmentation, retention models and customer lifetime value. Communicate results and engage with stakeholders : Effectively … datasets and identify opportunities for automation and process improvements. Strong analytical and problem-solving skills to address real-world business challenges. Practical and outcome driven mindset. Proficiency in statistical modelling : Demonstrated experience in developing and deploying statistical models, with a strong understanding of various, including supervised and unsupervised learning methods. Additional knowledge of GenAI and LLMs is an advantage. More ❯