51 to 75 of 256 Predictive Modelling Jobs in London

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 ...

solve complex business problems. Build strong partnerships with peers across the organization to support project goals and boarder team needs. Oversee the build of predictive models using advanced analytics techniques including GLMs, GBMs, natural language processing and other machine learning approaches. Develop powerful insights using a variety of analytical … Strategic Analytics team. Provide thought leadership on new, innovative techniques, approaches and software. Guide, support, mentor and develop the growing team of predictive modelers and data scientists. Desired Skills/Experience Ability to design, build and implement statistical models, with an understanding of a range of analytical techniques such ...

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 ...

Manage and enhance large datasets while ensuring strong data integrity, accuracy, and adherence to data management and governance best practices. Develop, maintain, and improve predictive models to forecast business trends and provide data-backed strategic recommendations. Stay current on industry trends and emerging data science technologies to continuously strengthen ...

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 ...

science experience. You have delivered at least 3 data or ML products from problem definition to production deployment and monitoring. Demonstrated proficiency in clustering, predictive modeling, reinforcement learning, and Bayesian statistics. Hands-on experience in software engineering, MLOps, and deploying machine learning models at scale. Proficiency in SQL, Python ...

model improvements, ensuring statistical rigor and actionable insights. Develop metrics, dashboards, and reporting frameworks to monitor system performance, customer engagement, and business impact. Build predictive models and conduct deep‐dive analyses to identify opportunities for improving customer experience, conversion, and satisfaction. Collaborate with Applied Scientists and Engineers to translate ...

model improvements, ensuring statistical rigor and actionable insights. - Develop metrics, dashboards, and reporting frameworks to monitor system performance, customer engagement, and business impact. - Build predictive models and conduct deep-dive analyses to identify opportunities for improving customer experience, conversion, and satisfaction. - Collaborate with Applied Scientists and Engineers to translate ...

model improvements, ensuring statistical rigor and actionable insights. Develop metrics, dashboards, and reporting frameworks to monitor system performance, customer engagement, and business impact. Build predictive models and conduct deep-dive analyses to identify opportunities for improving customer experience, conversion, and satisfaction. Collaborate with Applied Scientists and Engineers to translate ...

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 ...

solve complex business problems. Build strong partnerships with peers across the organization to support project goals and boarder team needs. Oversee the build of predictive models using advanced analytics techniques including GLMs, GBMs, natural language processing and other machine learning approaches. Develop powerful insights using a variety of analytical … Strategic Analytics team. Provide thought leadership on new, innovative techniques, approaches and software. Guide, support, mentor and develop the growing team of predictive modelers and data scientists. Desired Skills/ExperienceAbility to design, build and implement statistical models, with an understanding of a range of analytical techniques such ...

engineering velocity. Requirements Key Responsibilities: Core AI Solution Design: Design, build, and maintain scalable AI architectures and pipelines that support business requirements, ranging from predictive modelling to Generative AI applications. LLM Integration: Operationalise Large Language Models (e.g., GPT, Llama, Mistral) and NLP workflows (BERT, topic modelling … Kafka, Parquet), and web frameworks for model serving (e.g. Flask or FastAPI). Data Science: Familiarity or experience with classical NLP techniques (BERT, topic modelling, summarisation), statistical analysis, and knowledge graphs. Deep Learning: Familiarity or experience with Deep Learning (TensorFlow, PyTorch). Benefits Package and Benefits: Competitive Salary Bonus ...

clients’, engineering velocity. Key Responsibilities: Core AI Solution Design: Design, build, and maintain scalable AI architectures and pipelines that support business requirements, ranging from predictive modelling to Generative AI applications. LLM Integration: Operationalise Large Language Models (e.g., GPT, Llama, Mistral) and NLP workflows (BERT, topic modelling … Kafka, Parquet), and web frameworks for model serving (e.g. Flask or FastAPI). Data Science: Familiarity or experience with classical NLP techniques (BERT, topic modelling, summarisation), statistical analysis, and knowledge graphs. Deep Learning: Familiarity or experience with Deep Learning (TensorFlow, PyTorch). What We Offer: Competitive Salary Bonus Scheme ...

science experience. You have delivered at least 3 data or ML products from problem definition to production deployment and monitoring.* Demonstrated proficiency in clustering, predictive modeling, reinforcement learning, and Bayesian statistics.* Hands-on experience in software engineering, MLOps, and deploying machine learning models at scale.* Proficiency in SQL, Python ...

modeling, and machine learning across Onsera’s platform, leveraging complex healthcare data—claims, clinical records, and real-world evidence—to power population risk stratification, predictive modeling, and AI-driven decision support. You’ll be a strong independent applied research operator capable of tackling greenfield projects end-to-end while ...

multi-region e-commerce businesses. Experience analyzing customer journeys across storefront, acquisition, merchandising, and checkout experiences. Exposure to machine learning, causal analysis and predictive modeling applications in consumer or growth analytics. Experience working in high-growth, highly cross-functional product organizations. WHY QUINCE? Joining Quince means being part ...

decisions across large-scale Solar PV and Battery Energy Storage System (BESS) projects. This role goes far beyond reporting and analytics. You\'ll design predictive models, automate complex engineering workflows, build internal AI applications, and explore how emerging technologies can improve the way renewable energy projects are developed. … commercial workflows. Build intelligent geospatial screening tools using machine learning and GIS datasets to identify and rank development opportunities across the UK. Develop predictive models for electricity markets, battery optimisation and project revenues. Explore the use of Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI copilots and autonomous ...

business results. Strong product analytics skills including metrics design, funnel analysis, cohort analysis, segmentation, behavioural analysis, feature performance assessment, customer journey analysis, experimentation, forecasting, predictive modelling, causal inference, or other advanced analytical techniques. Experience with product analytics, engagement, BI, and visualisation tools such as Mixpanel, Amplitude, Customer.io, AppsFlyer ...

systems, vendor platforms) to standardise and optimise workflows. Provide data‐driven insights to senior management on vendor performance, spend optimisation and risk exposure. Develop predictive models and trend analyses to support demand planning, vendor strategy and financial forecasting. Ensure transparency and accuracy of vendor‐related financial and operational data ...

learning, and technical excellence. Lead initiatives to scale impact through automation, self-service, and democratization of data science capabilities. Develop sophisticated customer segmentation, and predictive models that directly inform and optimize the product roadmap. Communicate complex analytical and technical concepts to diverse audiences, influencing stakeholders across Product, Engineering, Design ...

some of the following areas would also be beneficial: Generative AI and machine learning concepts and applicationsStructured and unstructured data managementStatistical analysis and predictive modellingAI-enabled analytics and automation solutions QualificationsQualification in a Highly Numerate Subject (e.g. Computer Science, Operational Research, Statistics, Mathematics, Engineering, or Economics) or equivalent experience … VBAExperience in applying various analytical techniques (e.g. na ve 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 staffInterest in emerging AI technologies ...

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 ...