51 to 75 of 93 Predictive Modelling Jobs in London

clinical trial documentation (protocols, study reports, medical reports, patient narratives). 🔹 Create Digital Healthcare applications to support medical/scientific tools, patient engagement, and real-world evidence generation. 🔹 Design predictive models and generative AI solutions leveraging diverse healthcare data (clinical trials, EHRs, wearables, PROs, HEOR, Phase IV). 🔹 Collaborate with clinical, data science, RWE, and medical affairs teams to More ❯

clinical trial documentation (protocols, study reports, medical reports, patient narratives). 🔹 Create Digital Healthcare applications to support medical/scientific tools, patient engagement, and real-world evidence generation. 🔹 Design predictive models and generative AI solutions leveraging diverse healthcare data (clinical trials, EHRs, wearables, PROs, HEOR, Phase IV). 🔹 Collaborate with clinical, data science, RWE, and medical affairs teams to More ❯

managing and scaling digital product portfolios in complex, data-driven organisations within private markets or similar industries. Hands-on experience with AI/ML applications for financial analysis and predictive modeling. Deep understanding of private market workflows and ability to align digital strategies with broader business objectives. Exceptional ability to influence and build consensus among diverse stakeholders, with strong 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 ❯

such as dbt and Airflow . Collaborate with clients to understand business challenges and deliver tailored data solutions. Transform raw data into structured, actionable datasets for use in AI , predictive modelling , and platform development . Promote engineering best practices including automation, testing, and code quality. Mentor junior team members and lead technical workstreams to elevate team capability. Essential More ❯

such as dbt and Airflow . Collaborate with clients to understand business challenges and deliver tailored data solutions. Transform raw data into structured, actionable datasets for use in AI , predictive modelling , and platform development . Promote engineering best practices including automation, testing, and code quality. Mentor junior team members and lead technical workstreams to elevate team capability. Essential More ❯

countries across five major geographical areas (Europe, Americas, Asia, Africa and Oceania) Role: You will be working in key projects for leading organizations in data mining & knowledge Discovery, predictive modeling, trend modeling, Simulation models (Monte Carlo), Review of credit rating and scoring models and quant support to the business and R&D projects. We look for candidates like you More ❯

countries across five major geographical areas (Europe, Americas, Asia, Africa and Oceania) Role: You will be working in key projects for leading organizations in data mining & knowledge Discovery, predictive modeling, trend modeling, Simulation models (Monte Carlo), Review of credit rating and scoring models and quant support to the business and R&D projects. We look for candidates like you More ❯

supporting the daily activities of scientists (physics, ML, deep learning) producing predictors and prediction workflows,you'll contribute to scaling the scientific logic and software that connect Aqemia's predictive models into advanced drug discovery workflows. You'll build the engine that enables large-scale computation and seamless data transformation. You'll work at the interface of cheminformatics, software More ❯

and full-cycle development of machine learning solutions, including model development, deployment, maintenance, and performance evaluation, ensuring seamless integration into production environments for the Cint Exchange. Develop a comprehensive, predictive understanding of marketplace dynamics, including price elasticity, supply/demand balance, and their underlying mechanics within the Cint Exchange, providing deep analytical insights. Independently and confidently carry out complex … understanding of advanced statistical techniques and concepts (e.g., properties of distributions, hypothesis testing, parametric/non-parametric tests, survey design, sampling theory, experimental design, including multivariate testing, regression/predictive modeling, causal inference, and A/B testing). Strong knowledge of various machine learning techniques (e.g., clustering, regression, decision trees, neural networks, etc.) and their real-world advantages More ❯

estate firms understand and act on physical climate risk. You’ll define the ML strategy, shape a high-impact team, and deliver real-world innovation across generative AI, geospatial modelling, and time-series forecasting. Key Responsibilities Own and evolve the company’s AI & ML strategy in line with product and customer priorities Lead, mentor, and grow a high-performing … team of ML Engineers Take prototypes through to production, delivering meaningful product features powered by GenAI and predictive modelling Collaborate with Science and Engineering to integrate ML with physics-based climate models Communicate complex technical concepts in simple, outcome-oriented terms for customers and cross-functional teams Your work will focus on delivering high-value insights and solutions … satellite imagery and remote sensing for climate hazard detection Enhancing time-series forecasts to inform asset-level risk planning Combining simulation outputs with ML for hybrid physical + statistical modelling What We’re Looking For Proven leadership and strong hands on experience Proven track record of deploying ML into production environments Depth in at least one of: generative AI More ❯

estate firms understand and act on physical climate risk. You’ll define the ML strategy, shape a high-impact team, and deliver real-world innovation across generative AI, geospatial modelling, and time-series forecasting. Key Responsibilities Own and evolve the company’s AI & ML strategy in line with product and customer priorities Lead, mentor, and grow a high-performing … team of ML Engineers Take prototypes through to production, delivering meaningful product features powered by GenAI and predictive modelling Collaborate with Science and Engineering to integrate ML with physics-based climate models Communicate complex technical concepts in simple, outcome-oriented terms for customers and cross-functional teams Your work will focus on delivering high-value insights and solutions … satellite imagery and remote sensing for climate hazard detection Enhancing time-series forecasts to inform asset-level risk planning Combining simulation outputs with ML for hybrid physical + statistical modelling What We’re Looking For Proven leadership and strong hands on experience Proven track record of deploying ML into production environments Depth in at least one of: generative AI More ❯

in funding. And we're only just getting started. Who we're looking for We are looking for a highly motivated Data Scientist, who is keen on building advanced predictive models and joining our growing Core Pricing team. The mission is to build a world-class Data Science team that turns ideas and resolves complex challenges into production-grade … Science, Data Science or related field Experience: At least 3 years proven experience as a Data Scientist Technical Skills: Python Proficiency: Strong Python programming skills, with experience in training predictive models. Familiarity with data science libraries such as pandas and scikit-learn SQL: Proficient in SQL, particularly with cloud data warehouses like Snowflake Statistical Methodology: In-depth knowledge of … to have (but not essential) Experience with CI/CD pipelines (we use buildkite and argoCD) Hands-on experience with insurance pricing tools like Akur8, Emblem or similar pricing modelling tools Exposure to telematics or usage-based insurance data Experience with time series analysis and/or graph technologies What's it like to work at Zego? Joining Zego More ❯

us We have an exciting opportunity for a Data Scientist to join our rapidly growing Sports Forecasting & Analytics company. Purpose of the role As a Data Scientist within the Modelling & Data Engineering department, you will play a key role in the design, development, and implementation of predictive models that power our sports forecasting products. You will work collaboratively … within a sport-specific team to develop robust, scalable models, contribute to the research and development of new modelling methodologies, and ensure our forecasts remain accurate, low-latency, and aligned with client demands. You will be expected to use your programming, analytical, and mathematical skills to extract insights from data, build high-performance modelling pipelines, and help improve … modelling practices across the business. This role is ideal for someone with a strong foundation in data science who is looking to make a meaningful impact in a high-performance, fast-paced environment. Key responsibilities Design, build, and maintain statistical or machine learning models to support sports forecasting and pricing across various markets. Extract actionable insights from large-scale More ❯

us We have an exciting opportunity for a Data Scientist to join our rapidly growing Sports Forecasting & Analytics company. Purpose of the role As a Data Scientist within the Modelling & Data Engineering department, you will play a key role in the design, development, and implementation of predictive models that power our sports forecasting products. You will work collaboratively … within a sport-specific team to develop robust, scalable models, contribute to the research and development of new modelling methodologies, and ensure our forecasts remain accurate, low-latency, and aligned with client demands. You will be expected to use your programming, analytical, and mathematical skills to extract insights from data, build high-performance modelling pipelines, and help improve … modelling practices across the business. This role is ideal for someone with a strong foundation in data science who is looking to make a meaningful impact in a high-performance, fast-paced environment. Key responsibilities Design, build, and maintain statistical or machine learning models to support sports forecasting and pricing across various markets. Extract actionable insights from large-scale More ❯

us We have an exciting opportunity for a Data Scientist to join our rapidly growing Sports Forecasting & Analytics company. Purpose of the role As a Data Scientist within the Modelling & Data Engineering department, you will play a key role in the design, development, and implementation of predictive models that power our sports forecasting products. You will work collaboratively … within a sport-specific team to develop robust, scalable models, contribute to the research and development of new modelling methodologies, and ensure our forecasts remain accurate, low-latency, and aligned with client demands. You will be expected to use your programming, analytical, and mathematical skills to extract insights from data, build high-performance modelling pipelines, and help improve … modelling practices across the business. This role is ideal for someone with a strong foundation in data science who is looking to make a meaningful impact in a high-performance, fast-paced environment. Key responsibilities Design, build, and maintain statistical or machine learning models to support sports forecasting and pricing across various markets. Extract actionable insights from large-scale More ❯

us We have an exciting opportunity for a Data Scientist to join our rapidly growing Sports Forecasting & Analytics company. Purpose of the role As a Data Scientist within the Modelling & Data Engineering department, you will play a key role in the design, development, and implementation of predictive models that power our sports forecasting products. You will work collaboratively … within a sport-specific team to develop robust, scalable models, contribute to the research and development of new modelling methodologies, and ensure our forecasts remain accurate, low-latency, and aligned with client demands. You will be expected to use your programming, analytical, and mathematical skills to extract insights from data, build high-performance modelling pipelines, and help improve … modelling practices across the business. This role is ideal for someone with a strong foundation in data science who is looking to make a meaningful impact in a high-performance, fast-paced environment. Key responsibilities Design, build, and maintain statistical or machine learning models to support sports forecasting and pricing across various markets. Extract actionable insights from large-scale More ❯

can enhance product offerings. Design and run experiments to test hypotheses and support product development. Develop robust data pipelines to support science experimentation and production. Deploy, maintain, and monitor predictive models in live environments. Communicate findings and technical concepts clearly to both technical and non-technical audiences. Contribute to agile delivery workflows and cross-functional collaboration. What We’re More ❯

can enhance product offerings. Design and run experiments to test hypotheses and support product development. Develop robust data pipelines to support science experimentation and production. Deploy, maintain, and monitor predictive models in live environments. Communicate findings and technical concepts clearly to both technical and non-technical audiences. Contribute to agile delivery workflows and cross-functional collaboration. What We’re More ❯

and business to co-create service visions and identify pain points, dependencies, and opportunities for innovation. AI & tech awareness: Maintain an awareness of AI capabilities (e.g., intelligent search, automation, predictive models) to identify where these can improve service flows and outcomes. Mapping technical-user integration: Help visualise and communicate how technical elements like microservices, APIs, and data pipelines support More ❯

We are Data Tech, a programme that comprises a number of agile, cross-functional teams between London and Bangalore. We grow data platforms, build front-end products and create predictive models for News UK. We focus on the capture, management and utilisation of customer, clickstream and content data, in order to drive growth and increase revenue for our users. More ❯

at Board Level. The Head of Data Science themselves will sit on the company's Executive Management Committee (top 20 Management Execs in the company). Key objectives Using predictive modelling to reduce disruption across the business Building scale & developing structure in the data science team Educate and continue to build growing analytics community in the business Disruption … modelling will include working across all areas of the business, not limited to marketing or customer data. The Data science team The head of data science will have 4 lead data scientists reporting to them with 4/5 people reporting to each of them. Team generally consist of PhD Level Data Science talent. Key areas for the Head More ❯

to monitor underwriting controls and support audits. • Automate and manage reporting for underwriting class and product leaders. • Investigate underwriting performance queries and provide actionable insights. • Design, develop, and validate predictive models to inform underwriting decisions. • Work with data engineering teams to design and maintain Azure Databricks pipelines. • Support the automation of data-driven deliverables for proactive services. • Identify and … skills, with experience working with large structured and unstructured datasets. • Experience building interactive dashboards and reporting tools. • Familiarity with data engineering, ETL processes, and data pipelines. • Experience with statistical modelling and machine learning techniques, and libraries such as scikit-learn, PyTorch, or TensorFlow. • Excellent communication skills able to explain complex analysis to non-technical stakeholders. • Proactive, inquisitive mindset with More ❯

to monitor underwriting controls and support audits. • Automate and manage reporting for underwriting class and product leaders. • Investigate underwriting performance queries and provide actionable insights. • Design, develop, and validate predictive models to inform underwriting decisions. • Work with data engineering teams to design and maintain Azure Databricks pipelines. • Support the automation of data-driven deliverables for proactive services. • Identify and … skills, with experience working with large structured and unstructured datasets. • Experience building interactive dashboards and reporting tools. • Familiarity with data engineering, ETL processes, and data pipelines. • Experience with statistical modelling and machine learning techniques, and libraries such as scikit-learn, PyTorch, or TensorFlow. • Excellent communication skills—able to explain complex analysis to non-technical stakeholders. • Proactive, inquisitive mindset with More ❯

Article Recommendations. Contribute to longer-term Salesforce initiatives such as Agentforce for Service. 2. Systems Integration & API Work Build and maintain integrations between Salesforce and external platforms, including 6sense (predictive modelling & ABM). 6sense Conversational Email. Gong Engage (sales engagement). Planhat (Customer Success). HubSpot (marketing automation with bi-directional Salesforce sync). Ensure data quality, consistency More ❯