1 to 25 of 81 Remote/Hybrid 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 ...

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 ...

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 ...

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. ...

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. ...

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 ...

What You’ll Be Doing Build & Evolve Our Data Platform Contribute to the architecture and development of our modern data platform, including data warehouse, modelling layer and pipelines. Develop and maintain high-quality data models and pipelines. Help establish best practices across data modelling, testing, governance and documentation. … approach to decision-making across the business. Move quickly from idea to insight, testing hypotheses and delivering clear recommendations. Support analysis including customer segmentation, predictive modelling, cohort analysis and customer lifetime value modelling. Look for new ways to use data to solve real commercial problems. Shape ...

Opportunity ShareForce is seeking a hands-on Data Scientist to join its growing internal data science capability and work on a portfolio of established predictive models. Working closely with the Data Science Lead, you will play an important role in developing, validating, monitoring and improving production models. You will … work directly with data, Python, SQL and modelling tools, using analysis and experimentation to improve model performance and deliver measurable business value. Operating within a Microsoft Azure and Databricks environment, this is an opportunity to work across the full model lifecycle while contributing to the development of robust model ...

approach to solution design Strong technical expertise across Python, SQL, advanced analytics, machine learning, and AI, with a proven ability to design and implement predictive models and intelligent algorithms that solve complex business problems You bring Experience writing process documentation, technical specifications, and data collection guidelines to ensure quality ...

organization from exploratory notebooks to reliable, automated production pipelines. Advanced Business ML (Experience in 1-2 of the following): Customer Behavior & Propensity Modeling: Building predictive models for churn, propensity-to-buy, lead scoring, or lifetime value (LTV) to directly drive targeted marketing and product interventions. Applied Forecasting: Time-series ...

analytics productsDemonstrable track record in managing and developing product data scientists and data engineersCore analytics skills, data interrogation skills with SQL/Python, Data Modelling/Engineering, applied statistics (e.g., hypothesis testing, regression, predictive modelling)Ideally, having worked with acceptance, fraud and cost optimisation within the context ...

applying quantitative techniques to uncover patterns, generate insights and optimise outcomes, enabling more informed decisions for both the business and its customers. Machine Learning, predictive modelling and applied AI, developing, evaluating and operationalising models using state-of-the-art libraries and frameworks such as scikit-learn, TensorFlow, PyTorch … analytical techniques and experience in manipulating and deriving insight from data. Python coding experience, knowledge of SQL and the ability to use statistical modelling techniques as this will form a part of the assessments. Locations Bristol, Edinburgh, Halifax, Leeds, London, Manchester. You will be expected to work in your ...

advanced analytics to identify trends, recurring issues, and opportunities for service improvement Define and implement best practices for data collection, storage and analysis. Develop predictive models and insights to support proactive problem management. Create dashboards and visuals that translate complex data into actionable insights for technical and non-technical ...

insuranceKnowledge of anti-fraud, investigations, anti-bribery and corruption and regulatory requirements analysis skillsetsProven knowledge and experience using advanced analytic tools for data visualization, predictive modeling, data management, ETL, data aggregation and dynamic reportingHands-on technical experience mining and analyzing structured data with a strong working knowledge of Microsoft ...

anti-fraud, investigations, anti-bribery and corruption and regulatory requirements analysis skillsets Proven knowledge and experience using advanced analytic tools for data visualization, predictive modeling, data management, ETL, data aggregation and dynamic reporting Hands-on technical experience mining and analyzing structured data with a strong working knowledge of Microsoft ...

understand the full product lifecycle and strategic considerations, and good knowledge of SaaS Product metrics. Understanding of machine learning concepts and experience with implementing predictive models to forecast product performance and user behavior. Being able to be hands on to unblock your team, as well as being a strategic ...

partner with senior leaders across Marketing, Growth, Finance and Engineering to establish a best-in-class marketing measurement function. From Marketing Mix Modelling and experimentation to attribution, mobile measurement and marketing technology, you'll ensure the business has one trusted view of marketing performance and the confidence to make … Marketing Engineering, creating the culture, standards and operating model for a new function. Own end-to-end marketing measurement, bringing together Marketing Mix Modelling, attribution, mobile measurement and platform reporting into a single source of truth. Lead and evolve Omaze's Marketing Mix Modelling programme, ensuring outputs directly ...

powering commercial decision-making across the business. In this role, you’ll take that foundation to the next level by designing, building and deploying predictive models that directly influence some of the most important drivers of Raylo’s growth - from credit risk and customer retention to personalised recommendations. … prediction to recommendation systems You’ll partner closely with teams across product, engineering, risk, operations and commercial to identify high-impact opportunities for advanced modelling and take them from ideation through to action. You’ll combine deep technical expertise with strong communication skills, translating complex modelling approaches into ...

analytics Build AI and machine learning solutions using our rich data, including product holding, demographics, product usage, customer service interactions and customer metrics Develop predictive models for churn, lifetime value, customer segmentation and other customer-focused use cases Explore and build AI agents that automate analysis, speed up insight … members, planning tasks and delegating appropriately What you’ll bring Essential criteria: Strong hands-on experience in advanced analytics and machine learning, including forecasting, predictive modelling, optimisation and clustering Proven track record of building and deploying large-scale AI/ML solutions in cloud environments Ability to quickly ...