251 to 275 of 334 Statistical Modelling Jobs in the UK

test new signals for improving recommendation models. Use supervised and uplift learning algorithms to improve customer experience. Design A/B tests and conduct statistical analysis on their results. Work with distributed machine learning and statistical algorithms to harness enormous volumes of data at scale to serve our … both for Amazon's business and for our customers. BASIC QUALIFICATIONS 5+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience. 5+ years of data scientist experience. Experience with statistical models e.g. multinomial logistic regression. More ❯

decisions. Responsibilities: Partner with the wider IT teams to ensure requirements and solutions are implemented effectively Develop a range of data science solutions from statistical models to customer segmentations Drive development of data science models and best practices to align with the move towards a data led company Mentor More ❯

/overall product strategy. Profile, measure, and manage data to achieve best-in-class quality for Climate data products. Perform data profiling and apply statistical methods to find improvement opportunities, support interconnected data models and/or data quality measurements. Leverage subject matter expertise to help drive AI by … content and translate it into consumable data products, while applying technology such as AI to scale and enhance data collection. Knowledge of Data management, statistical analysis, quantitative modelling, or programming and applied data analysis skills, with proficiency using Excel as well as Python and SQL. Demonstrated data experience More ❯

environment. Well versed in scalable data mining and machine learning techniques (using computers to improve as well as develop algorithms)Kernel Methods, Deep Learning, Statistical Relational Learning, Ensemble Methods Model using advanced statistical/mathematical models, predict and segment data to hypothesize/evolve uses cases to monetize More ❯

opportunity to extend long-term & start date May 2025. Role Summary: Lead data activities including extraction, transformation, analysis, and validation to support Marketing Mix Modelling (MMM). Build, enhance, and validate models to analyze KPIs and guide budget optimization and scenario planning. Key Responsibilities: Extract, manipulate, and analyze datasets … to prepare for modelling (Excel, SQL, Python, Pandas). Build and refine base models with clear variable rationale and KPI linkage. Create ROI workbooks , response curves, and optimization charts. Run scenarios for budget allocation and client objectives. Validate models for accuracy, suggest and test improvements. Required Skills & Experience: Proven … experience with MMM development and implementation. Strong Python skills; familiarity with R for MMM. Expertise in regression modeling, statistical and ML techniques . Experience with probabilistic programming, Bayesian methods, and MCMC. Proficient in SQL and/or Spark for large-scale data mining. Solid understanding of statistical foundations More ❯

opportunity to extend long-term & start date May 2025. Role Summary: Lead data activities including extraction, transformation, analysis, and validation to support Marketing Mix Modelling (MMM). Build, enhance, and validate models to analyze KPIs and guide budget optimization and scenario planning. Key Responsibilities: Extract, manipulate, and analyze datasets … to prepare for modelling (Excel, SQL, Python, Pandas). Build and refine base models with clear variable rationale and KPI linkage. Create ROI workbooks , response curves, and optimization charts. Run scenarios for budget allocation and client objectives. Validate models for accuracy, suggest and test improvements. Required Skills & Experience: Proven … experience with MMM development and implementation. Strong Python skills; familiarity with R for MMM. Expertise in regression modeling, statistical and ML techniques . Experience with probabilistic programming, Bayesian methods, and MCMC. Proficient in SQL and/or Spark for large-scale data mining. Solid understanding of statistical foundations More ❯

in various areas such as Recommender Systems, Time Series Forecasting, Deep Learning, and Reinforcement Learning, fostering a collaborative learning environment. Our focus is on modelling and problem-solving, leveraging advanced machine learning techniques to create solutions to challenging business problems. We prioritise clean, well-tested code with a culture … concepts to non-technical audiences Required Experience Leading E2E projects, from inception, planning/prioritisation to delivery including monitoring and alerting Designing experiments and modelling to generate actionable insights and enhance business performance Proficient in machine learning and statistical methods for predictive modelling and forecasting Experience deploying More ❯

goals to enhance advertiser experience and deliver multi-million dollar savings by building algorithms to detect and mitigate invalid traffic. Use machine learning and statistical techniques to create new, scalable solutions for invalid traffic filtering. Drive core business analytics and data science explorations to inform key business decisions and … 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 the context of data analysis and statistical model More ❯

through collaboration with universities, exchange programs, and conference participation. BASIC QUALIFICATIONS - 5+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience - 4+ years of data scientist or similar role involving data extraction, analysis, statistical modeling More ❯

the future of credit decisioning through custom scorecard development and validation • Partner with major credit bureaus (TransUnion, Experian) to enhance risk segmentation • Architect advanced statistical models that revolutionize our credit risk assessment Lead Predictive Analytics: • Build next-generation Probability of Default (PD) models • Transform raw data into powerful predictive … work in UK • Strong programming skills (Python, R, SQL) • Advanced Excel proficiency • Experience with large-scale data analysis • Proven track record in credit risk modelling Must-Have Expertise: • Data Science, Statistics, or Economics degree - your foundation in quantitative excellence • Financial Services background - you understand the industry's pulse (Essential More ❯

technical aspects of analysis and metrics into actionable insights for the advertiser and both technical and non-technical stakeholders. - In depth understanding of advanced statistical techniques and methodologies as well as simple linear regression analysis, multivariate regression analysis and model building. - Advanced in SQL ability to write complex queries … from scratch from multiple tables. - Fluency with Python (or R) - ability to run advanced statistical modelling. PREFERRED QUALIFICATIONS - Consulting experience with a major consulting firm or advertising experience with a top advertiser (agency or client side). - Experience with advertising publishers and marketing/creative agencies. - MBA, Master's More ❯

Quantitative Strategy Development & Research Algorithm Design: Lead the creation and refinement of proprietary trading algorithms rooted in the firm’s market framework, leveraging advanced statistical and machine‑learning techniques. Modeling & Simulation: Build forecasting, signal‑generation, and risk models; run rigorous back‑tests and simulations to validate performance. Data Analysis … expertise in at least one core language (Python, C++, or Java) and familiarity with Linux, Git, and CI workflows. Data Science: Deep knowledge of statistical modeling, feature engineering, and machine‑learning frameworks (PyTorch, TensorFlow, scikit‑learn). Systems: Proven skill in real‑time data pipelines, distributed/cloud computing More ❯

Quantitative Strategy Development & Research Algorithm Design: Lead the creation and refinement of proprietary trading algorithms rooted in the firm’s market framework, leveraging advanced statistical and machine‑learning techniques. Modeling & Simulation: Build forecasting, signal‑generation, and risk models; run rigorous back‑tests and simulations to validate performance. Data Analysis … expertise in at least one core language (Python, C++, or Java) and familiarity with Linux, Git, and CI workflows. Data Science: Deep knowledge of statistical modeling, feature engineering, and machine‑learning frameworks (PyTorch, TensorFlow, scikit‑learn). Systems: Proven skill in real‑time data pipelines, distributed/cloud computing More ❯

has grown to 30+ data scientists and data engineers. Working collaboratively, the team is multi-disciplinary with the following skills and capabilities: machine learning, statistical modeling, signal detection, natural language processing, data visualization, network/graph modeling, ETL, data pipelines, data architecture, communication, product management and strategy. We work … on a corporate-wide set of client, investor, and operational problems. Build and maintain tools and services supporting the full model development lifecycle for statistical models, machine learning, optimization, and deep learning models (e.g., feature engineering, backtesting and simulation, validation, deployment). Maintain and monitor production models and experimentation. More ❯

are seeking a dedicated Data Analyst to join our Corporate Data and Analytics Team. Responsibilities include specifying data capture, validation, maintaining data quality, performing statistical analysis, data modelling, performance measurement, and reporting. You will generate business intelligence and insights, develop Power BI reports, and manage reporting systems. A … thinking to HIE's work, supporting the organisation's development and measuring performance against strategic goals. The person The ideal candidate will have strong statistical and analytical skills, with proficiency in data visualization. Skills in Power BI report development, MS Office, CRM systems, and data warehousing are essential. Experience More ❯

strategic thinking and digital and technology, as well as job-specific technical skills. Purpose of the role To design, develop, implement, and support mathematical, statistical, and machine learning models and analytics used in business decision-making Accountabilities Design analytics and modelling solutions to complex business problems using domain … with technology to specify any dependencies required for analytical solutions, such as data, development environments and tools. Develop high performing, comprehensively documented analytics and modelling solutions, demonstrating their efficacy to business users and validation teams. Implement analytics and models in accurate, stable, well-tested software and work with technology … to operationalise them. Provide ongoing support for the continued effectiveness of analytics and modelling solutions to users. Ensure conformance to all Barclays Enterprise Risk Management Policies, particularly Model Risk Policy. Undertake all development activities within the defined control environment. Vice President Expectations Contribute to strategy, drive requirements, and recommend More ❯

disciplinary team within a highly technical and complex environment. Well-versed in scalable data mining and machine learning techniques, including Kernel Methods, Deep Learning, Statistical Relational Learning, and Ensemble Methods. You will model using advanced statistical/mathematical models, predict and segment data, and hypothesize/evolve use More ❯

a Data Scientist in our Direct Acquisition team, you will play a crucial role working to set up and analyse tests, and to build statistical models. The data-driven insights you produce will help us develop strategies to improve the efficiency and effectiveness of our sales and marketing. Strategy … and achieves valuable commercial outcomes. Design experiments to compare the performance of different strategies and evaluate them to inform decisions. Share your findings and modelling with the wider business to impact our strategy. Ownership and influence: Independently build models to help solve our business problems, with responsibility for the … types of marketing strategies. Building predictive models based on sales and marketing data, to determine whether certain activities lead to a positive return. Building statistical models to enhance the ability of sales teams to do accurate forecasting and capacity planning. The requirements Essential: Strong problem-solving skills in probability More ❯

a Data Scientist in our Direct Acquisition team, you will play a crucial role working to set up and analyse tests, and to build statistical models. The data-driven insights you produce will help us develop strategies to improve the efficiency and effectiveness of our sales and marketing. Strategy … and achieves valuable commercial outcomes. Design experiments to compare the performance of different strategies and evaluate them to inform decisions. Share your findings and modelling with the wider business to impact our strategy. Ownership and influence: Independently build models to help solve our business problems, with responsibility for the … types of marketing strategies. Building predictive models based on sales and marketing data, to determine whether certain activities lead to a positive return. Building statistical models to enhance the ability of sales teams to do accurate forecasting and capacity planning. The requirements Essential: Strong problem-solving skills in probability More ❯

the management of our transportation network, while also supporting in the scaling of the business. We partner with stakeholders from transportation to retail, leveraging statistical and ML model to upgrade our internal technology. BASIC QUALIFICATIONS - Experience in analyzing and interpreting data with Redshift, Oracle, NoSQL etc. - Experience with data … visualization using Tableau, Quicksight, or similar tools - Experience with one or more industry analytics visualization tools (e.g. Excel, Tableau, QuickSight, MicroStrategy, PowerBI) and statistical methods (e.g. t-test, Chi-squared) - Experience with scripting language (e.g., Python, Java, or R) - Experience with SQL - Experience in the data/BI space … PREFERRED QUALIFICATIONS - Master's degree, or Advanced technical degree - Knowledge of data modeling and data pipeline design - Experience with statistical analysis, co-relation analysis Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on More ❯

/overall product strategy. Profile, measure, and manage data to achieve best-in-class quality for Climate data products. Perform data profiling and apply statistical methods to find improvement opportunities, support interconnected data models and/or data quality measurements. Leverage subject matter expertise to help drive AI by … content and translate it into consumable data products, while applying technology such as AI to scale and enhance data collection. Knowledge of Data management, statistical analysis, quantitative modeling, or programming and applied data analysis skills, with proficiency using Excel as well as Python and SQL. Demonstrated data experience, including More ❯

surveys, feedback forms, CRM systems, and transactional databases. Interpret data to identify trends, patterns, and areas for improvement in the customer experience journey. Apply statistical techniques and predictive modelling to forecast customer trends and anticipate future needs. Use exploratory analysis to detect patterns, correlations, and anomalies in data. … paced environment. Strong communication skills, with the ability to convey complex information in a clear and concise manner. Familiarity with data engineering processes and statistical analysis techniques. Experience in quality management tools and methodologies is an advantage. If you think you have 75% or even 90% of what we More ❯

and concise insights. Strong communication and presentation skills, with the ability to effectively communicate findings to both technical and non-technical audiences. Experience with statistical analysis and data modelling techniques. Familiarity with web analytics tools (e.g., Google Analytics). A proactive and self-motivated approach with a strong More ❯

and concise insights. Strong communication and presentation skills, with the ability to effectively communicate findings to both technical and non-technical audiences. Experience with statistical analysis and data modelling techniques. Familiarity with web analytics tools (e.g., Google Analytics). A proactive and self-motivated approach with a strong More ❯

CLtV team will involve growing and demonstrating your skills in several key areas, including but not limited to: Model development: Explore and integrate innovative modelling methods into our training pipeline to enhance the predictive power and flexibility of our model. Take responsibility for the full lifecycle of the model … and Analysts in other teams to ensure that our model predictions are appropriately utilised and interdependencies are accounted for. Model-driven insights: Utilise our modelling and analytics tools (and introduce new ones where appropriate) to uncover insights, such as customer behaviour patterns or the efficacy of new modelling … the business problem at hand and to get technical feedback for personal growth. The function iwoca's Data Scientists specialise in Supervised Machine Learning, Statistical Inference and Exploratory Statistics, focusing on tabular and time series data. Our work emphasises quantitative predictions through the analysis of conditional probabilities and expectations More ❯