1 to 25 of 256 Predictive Modelling Jobs in London

help shape the future of agriculture. Job Description Join our global analytics team within Product Biology & Sustainable Innovation and help shape the use of predictive science in Crop Protection R&D. As a Senior Data Scientist – Predictive Science, you will develop machine-learning and predictive-modelling … multidisciplinary teams to generate robust insights and accelerate complex decisions. This role offers the opportunity to work autonomously on high-impact scientific challenges, influence modelling approaches and data strategy, and collaborate with experts across an international research environment. What You Will Do Develop and validate predictive models based ...

lead a team of data scientists, who will assist them in the creation of data science solutions.AccountabilitiesYour responsibilities will include:Lead the delivery of predictive modelling projects from problem definition through development, validation, production integration and ongoing monitoring.Mastering Hastings’ systems, processes, and technology to maximise the effectiveness … your team.Identify, assess and prepare new data features, evaluating their predictive value, stability, interpretability and potential impact on customer pricing outcomes.Build and promote reusable, maintainable and reproducible modelling tools, pipelines and development practices.Lead a small team of data scientists, supporting their technical development and helping them deliver high ...

setup to deliver success with world-class services and solutions. This role is part of an integrated Data & Analytics team across measurement & reporting, predictive modelling, data strategy solutions, covering media, CX, CRM and more. The focus is to act as the glue between clients, WPP teams … proposals and methodologies forData Planning; encompassing data-driven journey design, targeting personalisation, test and learnAnalytics & Data Science solutions; encompassing customer analytics (e.g. customer segmentation, predictive modelling), digital analytics (e.g. journey analysis, web/app, media analysis), business intelligence (e.g. dashboard reporting) and AI (e.g. conversational BI)Data & Analytics ...

ensure we are setup to deliver success with world-class services and solutions. This role leads an integrated Data & Analytics team across measurement & reporting, predictive modelling, data strategy solutions, covering media, CX, CRM and more. As such, you will need to organise, motivate and inspire to connect … data, AI, martech and adtech transformation roadmaps, measurement frameworks and associated operating model development. Analytics & Data Science solutions; encompassing customer analytics (e.g. customer segmentation, predictive modelling), digital analytics (e.g. journey analysis, web/app, media analysis), business intelligence (e.g. dashboard reporting) and AI (e.g. conversational BI) Inspire ...

advanced AI and Machine Learning solutions Building and implementing LLM and Generative AI applications Developing and training models for complex use cases Working with predictive modelling and Machine Learning techniques Taking models from development through to production Embedding AI/ML solutions into real-world business environments Solving … commercial experience within AI/Machine Learning Hands-on LLM/Generative AI experience Strong Python experience Experience developing and training complex ML models Predictive modelling/predictive Machine Learning experience Experience taking models into production environments Knowledge of MLOps and production ML practices Excellent analytical ...

enable data-driven decisions Lead performance marketing analytics activities, building out processes, documentation and priorities Take responsibility for the curation and automation of LTV Modelling to measure and predict Return On Investment Conduct analysis and deep-dives to help answer key questions surrounding marketing performance Develop and maintain reporting … with BI Team, and create self-service dashboards and tools for performance marketing Investigate and manage new methodologies and services such as Media Mix Modelling, SKAN, incrementality testing, predictive modelling, etc. Work with the Game Analytics team to analyse post-install dynamics of acquired users Track metrics ...

Solve the hard problems Lead on the technical development of algorithms and pipelines that will deliver against our strategic objectives. Iterate our modelling and optimisation capabilities, identifying the most appropriate techniques to enable continuous learning, expansion to novel mechanics, audiences and channels and the transition towards real-time decisioning. … projects where appropriate, leading junior colleagues and engaging with stakeholders. Embody and improve best practice Align to best practice across modelling, experimentation, deployment, and model lifecycle management. Coach through doing – pairing on code and demonstrating standards. Be an enthusiastic member of our community Become the recognised data science technical ...

Analytics team members. Develop statistical and machine learning models to quantify mortality, morbidity, and disability risk. Apply techniques such as survival analysis, experience investigations, predictive modelling, and risk factor analysis. Generate insights that support underwriting, pricing, product development, and research initiatives. Collaborate with actuaries, underwriters, medical specialists … degree in Actuarial Science, Statistics, Mathematics, Data Science, Biostatistics, Epidemiology, or a related quantitative field. Experience analysing complex longitudinal datasets. Strong statistical modelling and analytical skills. Proficiency in Python, or R and SQL preferred. Experience with machine learning and predictive modelling techniques. Excellent problem-solving and communication ...

payback period, churn, retention, conversion rate, subscription growth, and channel ROI. Apply advanced analytics using SQL, Python, or R for cohort analysis, forecasting, predictive modelling, and Marketing Mix Modelling. Build and maintain dashboards and self-serve reporting in Tableau to support data-driven decision-making. Translate complex analysis … retention, churn, payback period, and cohort performance. Advanced SQL skills and experience working with large, complex datasets. Experience using dbt for data transformation, modelling, testing, and documentation. Strong Tableau experience, including building dashboards for senior stakeholders and non-technical users. Experience using Python or R for advanced analysis, predictive ...

execution. The role's purpose is to ensure the business gets the right solutions for the right needs, whether that's a dashboard, a predictive model, an AI-driven tool or an agentic solution, always focused on delivering optimal business outcomes rather than analytics for its own sake. This … development, deployment, and operationalization. Ensure business value realization and organizational adoption following implementation. Champion the selection of the right analytical approach (e.g., diagnostic analysis, predictive modelling, machine learning, AI automation) to solve each business problem, ensuring solutions are fit-for-purpose and add tangible value (e.g., improved loss ...

Opportunity ShareForce is seeking an experienced, hands-on Data Science Lead on a contract basis to take ownership of four established predictive models and lead the transition of data science capability from a specialist external partner into the internal team. This is a delivery-focused role with a clear … remaining close to the data and models while providing direction and assurance to senior stakeholders. Key Responsibilities Take end-to-end ownership of four predictive models, covering development, validation, deployment, monitoring, documentation and optimisation. Lead the transfer of technical knowledge, processes and model ownership from an external specialist partner ...

dive analysis to identify opportunities and risks Leading customer segmentation and profiling projects to better understand customer behaviour Applying advanced analytical techniques including clustering, predictive modelling, regression analysis and campaign measurement Translating complex analysis into clear, actionable recommendations for senior stakeholders Building strong relationships across the business … Skills & Experience Strong commercial experience in customer analytics, customer insight or CRM analytics Advanced SQL skills Strong data visualisation experience Experience delivering segmentation, clustering, predictive modelling and campaign measurement Understanding of techniques such as k-means clustering, random forest and regression analysis Excellent stakeholder engagement and communication skills ...

value Leading customer reporting and deep-dive analysis Turning complex data into clear, commercial recommendations for senior stakeholders Driving advanced analytics, including segmentation, clustering, predictive modelling and campaign measurement Leading customer profiling to identify behavioural trends, opportunities and risks Acting as a trusted analytics partner to stakeholders across … need strong SQL and data visualisation skills, as well as hands-on experience with advanced techniques such as segmentation, clustering, regression and predictive modelling (for example k-means and random forest). Strong stakeholder communication is essential, as this role involves influencing senior teams across the business. Line ...

actualités sur **LinkedIn** et **Instagram**.**Description de l'emploi :**WHAT - Summary & Purpose of the PositionThe Senior Director, Statistical Innovation leads innovative methodology, advanced modelling, and data-driven decision support across Ipsen’s R&D portfolio, strengthening development strategy through design, simulation, and predictive analytics.The role leads … specialist team of 3 to 5 quantitative experts supporting innovative trial design, advanced modelling, digital twins, virtual controls, patient journey modelling, and data mining to improve development decisions, study efficiency, population selection, and portfolio value.Working closely with Clinical Development, Biostatistics, Statistical Programming, Translational Medicine, Biomarkers, Regulatory Affairs, Data ...

follow our latest news on LinkedInand Instagram. Job Description: WHAT - Summary & Purpose of the PositionThe Senior Director, Statistical Innovation leads innovative methodology, advanced modelling, and data-driven decision support across Ipsen's R&D portfolio, strengthening development strategy through design, simulation, and predictive analytics. The role leads … specialist team of 3 to 5 quantitative experts supporting innovative trial design, advanced modelling, digital twins, virtual controls, patient journey modelling, and data mining to improve development decisions, study efficiency, population selection, and portfolio value. Working closely with Clinical Development, Biostatistics, Statistical Programming, Translational Medicine, Biomarkers, Regulatory Affairs ...

training re-rankers. Entity/relationship extraction/resolutionKnowledge Graphs; building and inference, graphRAGRecommendation systems and ranking: personalisation, learning-to-rank, feed ranking, user modelling, etc. Tabular ML: feature engineering, structured data modelling (GBDTs, etc.)Statistical & Predictive Modelling: supervised ML, anomaly detection, temporal modelling, etc. ...

following areas would also be beneficial: Generative AI and machine learning concepts and applications Structured and unstructured data management Statistical analysis and predictive modelling AI-enabled analytics and automation solutions Qualifications Qualification in a Highly Numerate Subject (e.g. Computer Science, Operational Research, Statistics, Mathematics, Engineering, or Economics … Experience in applying various analytical techniques (e.g. naïve bayes, decision trees, random forest, xgboost and k-means), to calculate problems such as predictive forecasting, prescriptive action, capacity planning. Experience of working in teams, managing the workload of junior team members, and coaching junior staff Interest in emerging AI technologies ...

training re-rankers. Entity/relationship extraction/resolutionKnowledge Graphs; building and inference, graphRAGRecommendation systems and ranking: personalisation, learning-to-rank, feed ranking, user modelling, etc. Tabular ML: feature engineering, structured data modelling (GBDTs, etc.)Statistical & Predictive Modelling: supervised ML, anomaly detection, temporal modelling, etc. ...

rankers. Entity/relationship extraction/resolution Knowledge Graphs; building and inference, graphRAG Recommendation systems and ranking: personalisation, learning-to-rank, feed ranking, user modelling, etc. Tabular ML: feature engineering, structured data modelling (GBDTs, etc.) Statistical & Predictive Modelling: supervised ML, anomaly detection, temporal modelling, etc. ...

that successful solutions are reproducible, scalable and capable of delivering measurable value. This reflects the JD's requirement for technical leadership, methodological authority, advanced modelling and translation of strategic and operational challenges into Data Science problems. Main duties of the job The Opportunity You will have the opportunity … culture Job description Job responsibilities Who are we looking for? We are looking for an accomplished Data Scientist with substantial experience in advanced statistics, predictive modelling and Machine Learning, together with strong technical capability in Python and SQL. You will understand how to translate complex problems into clearly ...

analytics strategies and driving successful data-driven initiatives. Proficiency in SQL for data extraction, manipulation, and analysis. In-depth knowledge of statistical analysis techniques, predictive modelling, and advanced machine learning algorithms. Strong experience with data visualization tools such as Tableau, Power BI, or similar. Experience with data blending ...

producing high-quality outcomes. Responsibilities Deliver data science projects, from problem definition through to actionable insights and presentation of results Develop and apply predictive modelling, supervised and unsupervised machine learning techniques to optimise client operations and business outcomes Build and maintain data pipelines, ensuring data quality, consistency … enhancement of Sagacity’s data science and analytics product suite Competencies and Experience 2+ years’ experience in data science, analytics, or statistical modelling, ideally with commercial experience within the Telecoms, Banking or Utilities industries; or within a data-related consultancy Educated to degree level (postgraduate preferred) in a quantitative ...

producing high-quality outcomes. Responsibilities Deliver data science projects, from problem definition through to actionable insights and presentation of results Develop and apply predictive modelling, supervised and unsupervised machine learning techniques to optimise client operations and business outcomes Build and maintain data pipelines, ensuring data quality, consistency … enhancement of Sagacity's data science and analytics product suite Competencies and Experience 2+ years' experience in data science, analytics, or statistical modelling, ideally with commercial experience within the Telecoms, Banking or Utilities industries; or within a data-related consultancy Educated to degree level (postgraduate preferred) in a quantitative ...

processing. Design and conduct of statistical and machine learning models to analyse patterns, trends, and relationships in the data. Development and implementation of predictive models to forecast future outcomes and identify potential risks and opportunities. Collaborate with business stakeholders to seek out opportunities to add value from data through ...

work processes. Strong PowerPoint and presentation/communication skills. Strong data visualisation skills using tools like Tableau, Spotfire, Power BI etc. Expertise in predictive modelling, including both parametric (e.g. logit/probit) and non-parametric (e.g. random forest, neural net) techniques as well as wider ML techniques like ...