201 to 225 of 454 Predictive Modelling Jobs in the UK

develop computer vision systems for the transformation pipeline, validation of phenotyping and automation tools, and performance optimization. Lead the data strategy and validation of predictive ML models to optimize transformation efficiency and regeneration success. Partner with AIR and data engineering teams to establish robust data pipelines for predictive modelling using multilayer phenotyping and automation data in high‐throughput transformation pipelines. Provide scientific and project leadership to researchers and engineers in applied AI/ML and automation engineering within a matrix team structure. Co‐develop and manage project plans, timelines, and reporting frameworks to ensure delivery ...

complex datasets to identify trends, patterns, opportunities and issues. Use statistical and mathematical techniques to investigate business problems and support decision-making. Develop predictive models, algorithms and machine learning solutions where appropriate. Use R for statistical analysis, modelling and data science. Use Python to develop scripts, automate processes … Python. Made better use of the data already available within Snowflake. Identified meaningful trends, opportunities and insights through analysis. Introduced more sophisticated statistical or predictive analysis where it adds value. What We're Looking For Essential Proven experience in data analytics, data science, statistics, business intelligence or a related ...

transform raw, unstructured data into usable formats for model training and analysis. Develop and refine features from raw data to enhance the performance of predictive models. Data Visualisation: Collaborate with key stakeholders to translate complex model outputs into actionable insights through impactful data visualisations. Add to our existing … Model Selection/Training/Tuning Experience in utilising data to drive insights related to football-specific questions. Highly skilled in advanced statistical and modelling techniques. Experience with football-specific datasets, including but not limited to: event data, optical tracking data, broadcast tracking data, GPS data. Experience managing complex ...

tuning Experience building ETL pipelines and querying APIs using tools such as Airflow or dbt, and Git-based version control Experience develop ing predictive models and quantitative analyses that support intelligence assessments and operational decision-making Experience applying NLP or text mining to reporting and open-source content Experience … tuning Experience building ETL pipelines and querying APIs using tools such as Airflow or dbt, and Git-based version control Experience develop ing predictive models and quantitative analyses that support intelligence assessments and operational decision-making Experience applying NLP or text mining to reporting and open-source content Experience ...

This role combines advanced modelling, pricing expertise, and oversight of pricing systems to shape strategy, strengthen governance, and enhance analytical capability. Operating with a high degree of autonomy, you’ll own end-to-end initiatives, influence senior stakeholders, and provide technical leadership and mentorship across the function. Location: London … discount strategy and governance Design tools and frameworks to support pricing decisions for high-value and high-risk segments Apply advanced analytics, including elasticity modelling, to inform pricing strategy and planning Partner with underwriting and commercial teams throughout planning cycles to enable data-driven decisions Provide technical mentorship ...

This role combines advanced modelling, pricing expertise, and oversight of pricing systems to shape strategy, strengthen governance, and enhance analytical capability. Operating with a high degree of autonomy, you’ll own end-to-end initiatives, influence senior stakeholders, and provide technical leadership and mentorship across the function. Location: London … discount strategy and governance Design tools and frameworks to support pricing decisions for high-value and high-risk segments Apply advanced analytics, including elasticity modelling, to inform pricing strategy and planning Partner with underwriting and commercial teams throughout planning cycles to enable data-driven decisions Provide technical mentorship ...

lifecycle, including data exploration, feature engineering, model selection and tuning, evaluation, deployment and maintenanceShape technical direction for your area, making well-reasoned architectural and modelling decisions that stand up at scalePartner with and influence stakeholders across the business to propose innovative data products that make the most of Trainline … Computer Science, Mathematics or a related quantitative discipline, or equivalent experienceConsiderable experience productionising machine learning models, with strength in an area such as predictive modelling, classification, regression, optimisation or recommendation systemsStrong proficiency in Python and open-source data libraries such as Pandas, NumPy and Scikit-learnA solid grounding ...

including data exploration, feature engineering, model selection and tuning, evaluation, deployment and maintenance Shape technical direction for your area, making well-reasoned architectural and modelling decisions that stand up at scale Partner with and influence stakeholders across the business to propose innovative data products that make the most … Computer Science, Mathematics or a related quantitative discipline, or equivalent experience Considerable experience productionising machine learning models, with strength in an area such as predictive modelling, classification, regression, optimisation or recommendation systems Strong proficiency in Python and open-source data libraries such as Pandas, NumPy and Scikit-learn ...

unstructured data into actionable strategic directions that drive our core business forward. You will partner closely with Product, Engineering, Marketing, and Operations to build predictive frameworks, and discover growth opportunities. Key Responsibilities Experimentation & A/B Testing: Design, execute, and analyze rigorous A/B and multivariate tests … measure feature performance, user retention, and business impact. Predictive Analytics & Machine Learning: Build, validate, and maintain scalable predictive models (e.g., churn, forecasting, customer lifetime value (CLV) and user segmentation) to guide business decisions. Exploratory Data Analysis: Deep dive into large, complex datasets to identify trends, user behavioral patterns ...

analyse performance of various products. Help us understand the profitable and less profitable sections of the website. Analysing patterns behind fashion sales (possibly some predictive modelling).Estimating likely returns from changes in strategy. QualificationsYou'll enjoy a good level of autonomy and be comfortable taking the initiative ...

delivering value to ourMembersthrough innovative sourcing and data-driven solutions. The Data Scientist will be instrumental in advancingClarusONE’sanalytics capabilities by applying statistical modelling, machine learning, and predictive analytics to complex business problems. This role will drive the development of scalable data science solutions that inform strategic sourcing … risk assessment, and market dynamics. Lead exploratory data analysis and hypothesis-driven investigations to uncover actionable insights and inform business strategy. Design and implement predictive models toanticipatesupply disruptions, pricing shifts, and demand fluctuations. Collaborate withEngineering andProduct teams to productionize data science solutions withinClarusONE’stechnology platforms. Apply rigorous statistical techniques ...

data libraries (e.g Pandas, Numpy, Scikit learn etc.)Have experience productionising machine learning models and/or AI solutionsAre an expert in one of predictive modelling, classification, regression, optimisation, NLP algorithms or recommendation systemsHave experience with SparkHave knowledge of DevOps technologies such as Docker and Terraform ...

role involves building a digital housing data model, translating findings for senior leaders, embedding with housing teams, and developing a performance framework with predictive models. Applicants should hold a degree in Data Science or related field and possess strong Power BI, SQL, and Google Sheets skills; 37 hours ...

Revenue & Debt Data Scientist to join its UK-based Credit Risk function. You will lead deep-dive analyses of customer portfolio trends, build predictive models for credit risk and debt recovery, and help transition to an enterprise data lake. The role requires strong SQL and Python, data cleansing ...

wide range of publicly available data sources. Role Entry-Level Quantitative Researchers are responsible for conducting rigorous quantitative research with a focus on predictive models. You will be trained in all aspects of systematic trading from idea generation all the way to practical trading considerations. Successful hires will ultimately ...

плюсом: experience delivering high-quality data and self-serve analytics using Airflow, dbt, and Looker; practical application of AI or machine learning techniques and predictive modeling; knowledge of the FinTech ecosystem Условия: Company Restricted Stock Units Numerous benefits in the London office Hybrid working Paid annual holiday, sick days ...

eCheck, to speed up cash collection. Research, vet, and onboard a vendor that brings AI agents into our customer-facing operations. Build a predictive model that flags high-risk payers early and accurately, so we can act before payments go overdue. Take over a team of agents within ...

experience. Essential skills & capabilities AI Architecture & Systems Understanding: Demonstrable understanding of how AI/ML systems, including Large Language Models (LLMs), generative AI, and predictive models are architected, fine-tuned, and deployed into enterprise infrastructure. Secure AI Build & Lifecycle: Knowledge of how to integrate security controls into ...

static experience. Essential skills & capabilitiesAI Architecture & Systems Understanding: Demonstrable understanding of how AI/ML systems, including Large Language Models (LLMs), generative AI, and predictive models are architected, fine-tuned, and deployed into enterprise infrastructure. Secure AI Build & Lifecycle: Knowledge of how to integrate security controls into ...

join our team. In this role, you will leverage your advanced analytical skills and programming expertise to extract insights from complex datasets, develop predictive models, and support decision-making for our diverse range of customers. As a junior contributor, you will work on a variety of data-driven projects … help implement scalable solutions. Key Responsibilities Data Analysis & Modelling: Analyse large, complex datasets to identify trends, patterns, and actionable insights. Develop, implement, and optimize machine learning models to solve business problems. Conduct A/B testing and experimental analysis to validate hypotheses. Data Management & Engineering: Collaborate with data engineering ...

support to delivery, and application of advanced analytics and machine learning implementations Professional experience in a Data Scientist role, applying machine learning, statistical modelling or advanced analytics to real business challenges Strong Python and SQL skills, with experience building and evaluating models A degree in Data Science, Mathematics, Statistics … where data science can create measurable business value. Your responsibilities will include: Applying machine learning, AI and advanced analytics techniques to operational challenges Developing predictive models, forecasting solutions and analytical tools using Python and SQL Investigating business performance to uncover key drivers, risks and opportunities Translating complex analysis into ...

data visualization tools, ideally Looker Studio, to build dashboards and reports that track KPIs over time. You are familiar with statistical analysis and predictive modeling concepts such as cohort analysis, regression, survival analysis, experimentation, and churn prediction, even if you are not a dedicated data scientist. You demonstrate strong … strategies, possibly using CDP (Customer Data Platform) tools like BlueConic. Programming skills in Python or R for advanced data analysis or to implement custom predictive models beyond basic SQL (e.g., using libraries for churn modeling or LTV projections). Experience analyzing web/app user behavior using tools like ...

from scoping and build through to testing, iteration, and customer delivery. Build and maintain production‐grade Python models, applying modern engineering and modelling practices. Work directly with customer actuarial teams and internal stakeholders to solve complex, ambiguous modelling and coding problems. Raise quality across the team through code … ways of working. What you’ll need to have done Shipped and maintained production‐grade Python code in complex or data‐heavy environments. Applied predictive modelling or advanced analytics in real‐world settings (insurance or reinsurance exposure is a bonus, not a requirement). Taken ownership of ambiguous ...

Renew, from scoping and build through to testing, iteration, and customer delivery. Build and maintain production-grade Python models, applying modern engineering and modelling practices. Work directly with customer actuarial teams and internal stakeholders to solve complex, ambiguous modelling and coding problems. Raise quality across the team through … ways of working. What you'll need to have doneShipped and maintained production-grade Python code in complex or data-heavy environments. Applied predictive modelling or advanced analytics in real-world settings (insurance or reinsurance exposure is a bonus, not a requirement).Taken ownership of ambiguous problems, creating ...

Associate Director, you will make use of WTW Radar and Emblem and you will have responsibility for the development and maintenance of predictive models (GLM) and price optimisation including machine learning algorithms (GBM), LTV (Lifetime Value) and fair pricing principles. Ultimately creating value for our customers. Bringing best … projects Provide technical leadership on WTW toolkit (in particular Radar Optimiser) to drive forward effective and efficient solutions Provide thought leadership on optimisation and modelling concepts Research, develop and champion the use of best practice methods and standards and ensure they are embedded throughout the department Lead the development ...