176 to 200 of 904 Permanent Predictive Modelling Jobs

support data driven decisions to deliver better product, service and relevance to consumers. Essential Duties & Responsibilities * Develop a comprehensive understanding of our data landscape, customer journeys, marketing experiences, and predictive model usage across our Marketing and Clienteling activities * Lead analysis of our BAU Marketing and Clienteling experience to help our CIX team make effective optimisations * Own deep dive analyses More ❯

problems and delivering meaningful insights. What You’ll Be Doing: As a Data Scientist, your responsibilities will include: Collecting, analyzing, and interpreting large datasets to solve business challenges. Building predictive models and machine learning algorithms to inform product and business decisions. Collaborating with developers, engineers, and product teams to integrate data-driven solutions. Conducting exploratory data analysis and creating More ❯

data-driven projects • Manage high-impact analytics initiatives with support from the Analytics Manager and Lead Analyst on large or more complex projects • Build, develop and refine statistical and predictive models to better understand customer behaviour and optimise business outcomes • Tell compelling stories with data to influence decisions and inspire change • Conduct peer reviews and contribute to a culture More ❯

mapping tools and data visualization software (e.g. Tableau, Power BI) • Understanding of commercial regulation, sanctions, and foreign trade policies • Familiarity with advanced analytics concepts (machine learning, social network analysis, predictive modeling) Why Join Us? Osaava Services is a rapidly growing SDVOSB specializing in cyber defense, intelligence solutions, and data-driven analysis supporting national security missions. You will work in More ❯

fraud trends and KPIs Improve access to fraud data through collaboration with engineering and data teams Present complex data findings to stakeholders in a clear and actionable manner Create predictive models and apply machine learning techniques to identify fraud risks Continuously evaluate and enhance fraud models to maintain detection accuracy Maintain clear documentation of methodology for use across both More ❯

and modeling. Understanding of user research to complement quantitative insights. Curious, collaborative team player capable of prioritizing in a fast-paced environment. Nice to have: Familiarity with customer segmentation, predictive modeling, and machine learning techniques. Experience supporting data-driven product roadmaps and experimentation programs. Keen interest in trading and investing. Basic knowledge of HTML, CSS, JavaScript. How we work More ❯

A MS in CS focused on Machine Learning, Statistics, Operational research or in a highly quantitative field. 5+ years of hands-on experience in big data, machine learning and predictive modeling. 3+ year people management and cross department functional experience. Knowledge of a statistical analysis package such as R, Tableau, and high-level programming language (E.g. Python) used in More ❯

A MS in CS focused on Machine Learning, Statistics, Operational research or in a highly quantitative field - 5+ years of hands-on experience in big data, machine learning and predictive modeling - 3+ year people management and cross department functional experience - Knowledge of a statistical analysis package such as R, Tableau, and high-level programming language (E.g. Python) used in More ❯

A MS in CS focused on Machine Learning, Statistics, Operational research or in a highly quantitative field - 5+ years of hands-on experience in big data, machine learning and predictive modeling - 3+ year people management and cross department functional experience - Knowledge of a statistical analysis package such as R, Tableau, and high-level programming language (E.g. Python) used in More ❯

A MS in CS focused on Machine Learning, Statistics, Operational research or in a highly quantitative field - 5+ years of hands-on experience in big data, machine learning and predictive modeling - 3+ year people management and cross department functional experience - Knowledge of a statistical analysis package such as R, Tableau, and high-level programming language (E.g. Python) used in More ❯

to capture high-quality data. Oversee data collection and analysis to ensure the integrity and reliability of research outputs. Interpret the output of advanced analytical techniques (e.g., segmentation, weighting, predictive modeling) to drive strategic decision-making. Deliver high-quality reports with actionable recommendations, helping clients make informed business decisions. Build and maintain strong client relationships, acting as the primary More ❯

A MS in CS focused on Machine Learning, Statistics, Operational research or in a highly quantitative field - 5+ years of hands-on experience in big data, machine learning and predictive modeling - 3+ year people management and cross department functional experience - Knowledge of a statistical analysis package such as R, Tableau, and high-level programming language (E.g. Python) used in More ❯

A MS in CS focused on Machine Learning, Statistics, Operational research or in a highly quantitative field - 5+ years of hands-on experience in big data, machine learning and predictive modeling - 3+ year people management and cross department functional experience - Knowledge of a statistical analysis package such as R, Tableau, and high-level programming language (E.g. Python) used in More ❯

A MS in CS focused on Machine Learning, Statistics, Operational research or in a highly quantitative field - 5+ years of hands-on experience in big data, machine learning and predictive modeling - 3+ year people management and cross department functional experience - Knowledge of a statistical analysis package such as R, Tableau, and high-level programming language (E.g. Python) used in More ❯

advanced analytics applied to large-scale data-intensive projects. Req Skills and Abilities: Demonstrated experience with advanced statistical packages and software. Demonstrated experience building and applying machine learning/predictive modeling in real-world use cases. Strong modeling and data manipulation skills. Strong written and verbal communication skills. Strong programming capability; ability to solve problems through programming and simulation. More ❯

About the Role: Grade Level (for internal use): 12 Director, Revenue Impact Modelling & Performance Analytics The Team: Part of the Enterprise Marketing Strategy and Demand Generation Center of Excellence, this is a key role within the newly integrated Revenue Operations, Performance Analytics, and Martech pillar. As part of S&P Global's enterprise marketing transformation, this role ensures that … forecasted, visualized, and optimized. Responsibilities and Impact: Revenue Attribution & Impact Modeling: Design and operationalize attribution frameworks that connect marketing activity to pipeline and revenue across touchpoints. Build and maintain predictive models to forecast marketing-influenced revenue, campaign lift, and investment ROI. Partner with Sales Operations and Finance to validate impact models, align on assumptions, and reconcile with GTM definitions. … stakeholders. Work closely with the Marketing Data Visualization & Reporting lead to develop dashboards and visualization layers. Partner with Customer Data Intelligence and CDP/Target teams to align audience modelling with performance insight. Collaborate closely with the Marketing Data Enablement team to ensure clean, structured data pipelines and with Corporate Technology to align infrastructure, tooling, and integration strategies. Create More ❯

dynamic (Power BI) dashboards that provide clear, actionable insights into workforce metrics and financial performance. Your expertise will directly influence workforce strategy by enabling accurate forecasting, cost analysis, and predictive analytics. KEY RESPONSIBILITIES: Advanced Data Analytics & Reporting Extract, clean, transform, and integrate large datasets from internal HR systems (e.g., SAP SuccessFactors), finance platforms, and external labour market sources to … automation, macros, and complex formulas to complement data workflows. Perform deep-dive analyses to identify trends, anomalies, and opportunities in workforce supply, demand, cost drivers, and financial performance. Implement predictive analytics models to forecast workforce needs, turnover risks, skill gaps, and financial impacts. Translate complex data findings into clear, concise insights and recommendations tailored for both technical and business … Integration Collaborate closely with Finance, HR and Strategic Workforce Planning teams to align workforce data analytics with budgeting, headcount, and cost management processes. Support labour cost forecasting and scenario modelling by integrating workforce metrics with financial data. Provide analytical support for workforce-related business cases, cost optimization initiatives, and strategic planning. Monitor key financial KPIs and workforce performance indicators More ❯

analysis process, transforming small and large datasets into manageable formats for import into our software. You’ll also be supporting on the design and automation of data pipelines, building predictive models, and piloting new tools. We’ll teach you the environmental context - your superpower is data, code, and a knack for creating reliable, repeatable solutions. We’re looking for … measurement (Scopes 1, 2 & 3) Workflow innovation - finding and implementing more efficient, automated ways to handle large, messy datasets Support with automated reporting via templates, APIs or lightweight scripts Predictive modelling & scenario analysis to help clients plan net-zero pathways You’ll be our in-house champion for improving offline data processes, standardising imports into our platform, and … Footprint Measurement Apply the GHG Protocol (Scopes 1-3) using our in-house calculator and external factor libraries Research and validate emission factors, benchmarks and supplier disclosures Future Focus Predictive Modelling & Scenario Analysis Build simple models (regression, gap-filling) to forecast emissions and identify hotspots Build models for Net-Zero pathways and reduction strategies Automation & Reporting Support on More ❯

analysis process, transforming small and large datasets into manageable formats for import into our software. You’ll also be supporting on the design and automation of data pipelines, building predictive models, and piloting new tools. We’ll teach you the environmental context - your superpower is data, code, and a knack for creating reliable, repeatable solutions. We’re looking for … measurement (Scopes 1, 2 & 3) Workflow innovation - finding and implementing more efficient, automated ways to handle large, messy datasets Support with automated reporting via templates, APIs or lightweight scripts Predictive modelling & scenario analysis to help clients plan net-zero pathways You’ll be our in-house champion for improving offline data processes, standardising imports into our platform, and … Footprint Measurement Apply the GHG Protocol (Scopes 1-3) using our in-house calculator and external factor libraries Research and validate emission factors, benchmarks and supplier disclosures Future Focus Predictive Modelling & Scenario Analysis Build simple models (regression, gap-filling) to forecast emissions and identify hotspots Build models for Net-Zero pathways and reduction strategies Automation & Reporting Support on More ❯

leave pay and free membership of employee assistance and parental programs, plus reimbursement towards relevant professional development and memberships. About the opportunity We are one of the largest transport modelling teams in the UK and Europe and offer unparalleled diversity of projects and exposure to different types of clients in the UK and internationally. Such depth offers opportunities for … a range of career paths whether it is technical excellence, technical leadership or management roles. We are a friendly team with a number of modelling excellence centres in the UK, Poland and India. We operate without divisions as One Jacobs, with management practices and systems designed to take down regional barriers and encourage cross-office working. Our Transport Team … Data to analyze vehicle and people movement patterns across highway and sustainable transport modes. Key work areas include: * Trend analysis, clustering, data fusion, and engineering * Advanced transport model inputs * Predictive modeling using Machine Learning * Predictive Discrete choice modeling We are open to flexible working arrangements and have successfully embedded hybrid working into our delivery style. With a network More ❯

leave pay and free membership of employee assistance and parental programs, plus reimbursement towards relevant professional development and memberships. About The Opportunity We are one of the largest transport modelling teams in the UK and Europe and offer unparalleled diversity of projects and exposure to different types of clients in the UK and internationally. Such depth offers opportunities for … a range of career paths whether it is technical excellence, technical leadership or management roles. We are a friendly team with a number of modelling excellence centres in the UK, Poland and India. We operate without divisions as One Jacobs, with management practices and systems designed to take down regional barriers and encourage cross-office working. Our Transport Team … Data to analyze vehicle and people movement patterns across highway and sustainable transport modes. Key work areas include Trend analysis, clustering, data fusion, and engineering Advanced transport model inputs Predictive modeling using Machine Learning Predictive Discrete choice modeling We are open to flexible working arrangements and have successfully embedded hybrid working into our delivery style. With a network More ❯

science teams to create solutions for large business problems. You will collaborate closely with experienced data scientists focusing on advanced challenges such as entity resolution at scale and graph modelling with Neo4J to produce graphical representations of potential fraud rings. Our Data Scientists research and apply advanced techniques in Machine Learning, Natural Language Processing, Deep Learning, and Computer Vision … environment or completed a PhD with two years of suitable industry or research experience in a Data Science role. Strong Python skills with experience in Natural Language Processing and Predictive Modelling, alongside solid SQL capabilities. Experience in creating, deploying, and tuning complex, non-linear predictive models to solve business problems using Python and associated Data Science tooling. More ❯

science teams to create solutions for large business problems. You will collaborate closely with experienced data scientists focusing on advanced challenges such as entity resolution at scale and graph modelling with Neo4J to produce graphical representations of potential fraud rings. Our Data Scientists research and apply advanced techniques in Machine Learning, Natural Language Processing, Deep Learning, and Computer Vision … environment or completed a PhD with two years of suitable industry or research experience in a Data Science role. Strong Python skills with experience in Natural Language Processing and Predictive Modelling, alongside solid SQL capabilities. Experience in creating, deploying, and tuning complex, non-linear predictive models to solve business problems using Python and associated Data Science tooling. More ❯

spanning the globe to ensure we deliver best in class risk prevention solutions Your key responsibilities Develop a thorough understanding of the data science lifecycle, including data exploration, preprocessing, modelling, validation, and deployment. Design, build, and maintain tree-based predictive models, such as decision trees, random forests, and gradient-boosted trees, with a low-level understanding of their … accuracy and reliability of data models. Communicate complex data insights to non-technical stakeholders through clear and actionable reports. Apply domain knowledge (if applicable) in financial fraud to enhance predictive modelling and anomaly detection capabilities. Skills and attributes for success Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention More ❯

spanning the globe to ensure we deliver best in class risk prevention solutions Your key responsibilities Develop a thorough understanding of the data science lifecycle, including data exploration, preprocessing, modelling, validation, and deployment. Design, build, and maintain tree-based predictive models, such as decision trees, random forests, and gradient-boosted trees, with a low-level understanding of their … accuracy and reliability of data models. Communicate complex data insights to non-technical stakeholders through clear and actionable reports. Apply domain knowledge (if applicable) in financial fraud to enhance predictive modelling and anomaly detection capabilities. Skills and attributes for success Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention More ❯