76 to 100 of 169 Predictive Modelling Jobs in the UK

a senior level Experience managing a team of data professionals. Strong proficiency with Data Analytics tools and technologies - particularly Power BI Good understanding of statistical analysis, machine learning, or predictive modelling techniques Strong analytical and problem-solving abilities. Excellent communication and presentation skills If you would be interested, please apply or call Corinne at Pertemps. More ❯

implementing recommendations. Location: North Shields Job Type: Full-time Salary: £40,000 per annum Day-to-Day of the Role Conduct detailed analysis of pricing and competitiveness. Engage in predictive modelling to assess changes in risk and profitability based on pricing strategies. Manage the full lifecycle of analysis projects from initial data extraction through to trend analysis and More ❯

implementing recommendations. Location: North Shields Job Type: Full-time Salary: £40,000 per annum Day-to-Day of the Role Conduct detailed analysis of pricing and competitiveness. Engage in predictive modelling to assess changes in risk and profitability based on pricing strategies. Manage the full lifecycle of analysis projects from initial data extraction through to trend analysis and More ❯

data sources Desirable skills/Preferred Qualifications: • Experience supporting feasibility studies and business case development. • Familiarity with graph-based analytics and relational data structures. • Understanding of scenario planning and predictive modelling concepts. • Experience working in regulated environments or with sensitive data. • Knowledge of operational design and process optimisation within intelligence or security functions More ❯

supporting coastal projects through data collection, interpretation, and modeling Key responsibilities include using Geographic Information Systems (GIS) and statistical tools for analysis and visualization, collaborating with teams, contributing to predictive models for risk assessment, and preparing reports. Essential qualifications typically include a degree in a relevant field (e.g., Environmental Science, Data Science, Geography), proficiency in data analysis and GIS More ❯

supporting coastal projects through data collection, interpretation, and modeling Key responsibilities include using Geographic Information Systems (GIS) and statistical tools for analysis and visualization, collaborating with teams, contributing to predictive models for risk assessment, and preparing reports. Essential qualifications typically include a degree in a relevant field (e.g., Environmental Science, Data Science, Geography), proficiency in data analysis and GIS More ❯

supporting coastal projects through data collection, interpretation, and modeling Key responsibilities include using Geographic Information Systems (GIS) and statistical tools for analysis and visualization, collaborating with teams, contributing to predictive models for risk assessment, and preparing reports. Essential qualifications typically include a degree in a relevant field (e.g., Environmental Science, Data Science, Geography), proficiency in data analysis and GIS More ❯

and promotional effectiveness Evaluate and implement emerging data science techniques to improve existing approaches Collaborate with cross-functional teams to define research questions and align on business goals Develop predictive models and analytical tools Communicate insights through clear, reproducible research and translate technical findings for diverse audiences What We're Looking For: Solid foundation in statistics, experimental design, and More ❯

integrate data insights into strategic planning and decision-making processes. Utilize GIS software and other data analysis tools to visualize and present findings effectively. Contribute to the development of predictive models and simulations for coastal management and risk assessment. Support the preparation of technical reports and presentations for stakeholders and decision-makers. Person Specifications Bachelor's degree in Environmental 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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

development for test automation (Python, C++, or C#). Experience with metaheuristic optimisation (e.g., GA, simulated annealing, particle swarm). Experience with AI/ML techniques (e.g., reinforcement learning, predictive modelling) for test optimisation. You should have a collaborative mindset to work closely with hardware engineers and manufacturing teams. A familiarity with production test time optimisation in semiconductor 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 ❯