201 to 225 of 236 Statistical Modelling Jobs in London

related field, or equivalent practical experience. 4 years of experience with empirical analysis to solve product, business, or policy problems, with econometric or advanced statistical modeling. Experience in big data analysis including statistical or econometric software (e.g., R, Python, Stata) and data query language (e.g., SQL) to manage … leverage big data to quantify and communicate Google’s contributions to the economy and society. You will be instrumental in combining advanced econometrics and statistical modeling with datasets to produce insights. You will also have the opportunity to support the team’s investigative work, including on macroeconomic monitoring ...

benchmark maintenance, calculate and deliver portfolio and manager level investment results, and provide advanced analytics and attribution analyses. Designs, develops, and interprets analytical/statistical models and forecasts to support investment and sales and marketing activities Researches, analyzes, and resolves discrepancies impacting results with internal operational teams Performs results … statistical, and portfolio analysis Develops and provides analysis of portfolio results, including hypothetical/paper portfolio results Designs and develops forecasting tools and statistical models that directly support the investment and distribution decision-making processes Creates a narrative out of data, asking the right questions to ensure understanding ...

pipelines that sit at its core Design and build production identity resolution pipelines, working closely with the Data Scientist to translate matching logic and statistical models into robust, scalable production code Own ETL/ELT and reverse-ETL orchestration, ensuring reliable, well‐governed data flow from source systems into … frequency and volume increase Build and maintain the CI/CD pipelines and engineering practices (with the freelance Lead Developer) that support Atlas's modelling, forecasting and MMM automation Support productionisation of propensity, forecasting and MMM outputs (e.g. XGBoost, AutoGluon/Chronos, Meridian) built by the Data Scientist, ensuring ...

Junior Data Scientist - Sales & MarketingHybrid in London, United Kingdom We’re looking for a Junior Data Scientist You'll design experiments and build the statistical models that shape how the company reaches new customers. You'll practise mastery of your craft, mentored by the team's data scientist, with … work with people across each function. The role As a Data Scientist in the Direct Acquisition team, you'll design experiments and build the statistical models that shape how the company reaches its next customers. Your findings feed directly into how we invest in sales and marketing. ...

commercial challenges into structured analytical problems and testable hypotheses. Explore complex behavioural and transactional data to find what others have missed. Develop and evaluate statistical and machine learning models. Build segmentation, propensity, forecasting and personalisation solutions that reach real customers. Apply rigour to feature engineering, validation and model performance. … grounding in statistics and machine learning. Experience developing and validating predictive models. Experience with customer, transactional, behavioural or digital data. Understanding of experimentation and statistical measurement. Analytical curiosity paired with pragmatic commercial judgement. The ability to explain complex analysis clearly and connect it to business action. Desirable Exposure ...

lead a mature Predictive Analytics function by upskilling individuals, championing innovative approaches to data analysis and interpretation, and driving the adoption of advanced modelling techniques to enhance decision-making and business outcomes. Provision of advanced pensioner demographics and mortality basis based on optimal exploitation of newly acquired data sets … expand the overall Longevity business portfolio. Support the development of Protection pricing bases by integrating predictive analytics and new data-driven techniques into modelling approaches, improving insight, and pricing robustness. Management of our internal data pools, ensuring they are effectively maintained and leveraged to deliver maximum analytical and business ...

solutions in cross-functional discussions, ensuring current systems and infrastructure contribute to the multi-year vision for automated claims handlingSet a high bar for statistical rigour, experimentation and measurement, helping improve how Claims performance and uncertainty are understood and communicated to senior stakeholdersWho You AreYou think in systems … building and shipping Generative AI systems in production (not just prototypes), including evaluation, safety/quality considerations, and integration into customer or operational workflowsStrong statistical and modelling foundation, with experience in risk-based decisioning under uncertainty (e.g., fraud, credit, insurance, or other regulated domains)Proven ability to influence ...

from the ground up for the newly launching DFS product. Experimentation & Impact: Measure the incrementality and impact of new features through rigorous experimentation and statistical modeling. Strategic Partnership: Act as the primary data partner for the Principal Product Manager and the CPO of FMX, providing insights that directly shape … experience with dbt for data modeling are essential. Tooling: Expertise in cloud data warehouses such as Snowflake or Databricks. Proficiency in Python is preferred. Statistical Rigor: Strong understanding of statistical concepts, multivariate testing, and experimentation frameworks. Communication: Ability to present complex technical insights to non-technical senior stakeholders ...

organisation looking for a Data Scientist to join their growing data function. This is an opportunity to join a collaborative team working on complex modelling problems, using Data Science and Machine Learning to support better commercial decisions. The role will have a particular focus on credit, making … great opportunity for someone with experience working with financial or risk-based data. The Opportunity As a Data Scientist, you’ll develop and improve statistical and Machine Learning models, working with large and complex datasets to identify patterns, understand performance and deliver actionable insights. You’ll be involved throughout ...

technical expertise. This role is based at our Canary Wharf office in London. 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 … technology to specify any dependencies required for analytical solutions, such as data, development environments and tools. Development of high performing, comprehensively documented analytics and modelling solutions, demonstrating their efficacy to business users and independent validation teams. Implementation of analytics and models in accurate, stable, well-tested software and work ...

technical expertise. This role is based at our Canary Wharf office in London. 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 … technology to specify any dependencies required for analytical solutions, such as data, development environments and tools. Development of high performing, comprehensively documented analytics and modelling solutions, demonstrating their efficacy to business users and independent validation teams. Implementation of analytics and models in accurate, stable, well-tested software and work ...

data assets remain trusted over time. Conduct exploratory data analysis to surface patterns, gaps, anomalies and data-quality issues, and identify opportunities for analysis, modelling or product use. Develop, compare and validate appropriate statistical and machine-learning models for classification, ranking, recommendation, forecasting, anomaly detection, similarity or extraction ...

WillPartner with EMEA & APAC HR and business leaders to translate complex workforce challenges into actionable, hypothesis-driven analytical projects. Design, build and validate predictive statistical models (e.g., attrition, headcount, talent forecasting) to drive strategy. Translate complex quantitative outputs into clear, compelling narratives tailored for non-technical stakeholders. Partner with … consultative/technical capacity. Proficiency in SQL, Tableau, Excel, or similar data visualization and manipulation tools. Strong expertise in advanced analytics and statistical modeling. Working knowledge of HRIS platforms such as Workday, SuccessFactors or Oracle, as well as a solid understanding of core HR processes and People data. Ability ...

digital pathology data, including whole-slide imaging, computational image analysis, and multi-modal clinical data integration. The research aims to improve disease diagnosis, prognostic modelling, and precision medicine approaches. The postholder will work closely with multidisciplinary teams of clinicians, data scientists, and biomedical researchers. Responsibilities include designing and implementing … equivalent scientific computing tools Experience with deep learning frameworks and large-scale data analysis Knowledge of whole-slide imaging and computational pathology workflows Strong statistical analysis and data modelling skills Ability to manage and interpret complex biomedical datasets Excellent scientific writing and communication skills Experience in securing ...

Client Analytics within Data and Analytics (D&A). You will lead analytical and consultancy projects, including the design and development of complex modelling assignments utilising CRA data. You will have frequent engagements with external customers/stakeholders and will manage multiple projects delivering revenue for Equifax UK. What … Associate Consultants are highly competent at developing statistical models, with hands on detailed analytic & modelling expertise, leveraging CRA data assets Responsible for supporting the delivery of analytical projects. This includes credit strategy development, scorecard and model development to required quality standards and project timescales. This will cover ...

reporting tools to analyze current business processes and to supportcontinuous process improvements• Identify opportunities for improvement through data - setting targets, understandingdrivers, assessing performance, and modelling scenarios• Present results back to the business in a structured, data-driven manner - simplifyingcomplex concepts for non-technical audiences• Use a problem-solving approach … Technical skills - advanced SQL skills and competence in use of analytical tools includingExcel, Salesforce, Tableau, etc. Experience with one or more of the statistical modelinglanguages/toolboxes such as R, SAS, SPSS, Matlab, or Python is a plus• Analytical Mindset- a problem solving approach that gets to the underlying ...

Commodities, with strategies including market making, automatic quoting, central risk books, systematic trading, and algorithmic execution, trading on venues around the world. We deploy statistical analysis techniques and mathematical models, including advanced machine learning and AI, to improve business performance while working closely with traders and salespeople … Role Responsibilities Take a leading role on our Quantitative Trading & Market Making desk, building market making and quoting strategies across FICC products. Use advanced statistical analysis and quantitative techniques such as neural networks, machine learning, and factor models to build models that drive systematic alpha strategies which make real ...

support hedging strategies for retail energy supply Analyze market data to optimize the performance of physical assets such as solar and wind farms Conduct statistical and scenario-based modeling to inform trading and risk management decisions Monitor power markets, pricing trends, and regulatory developments to identify risks and opportunities … related role in energy, trading, or analytics Strong proficiency in Python, with experience using libraries for data analysis, modeling, and visualization Solid understanding of statistical modeling, optimization, and analysis techniques Experience working with time series or market data, preferably in energy or commodities markets Strong problem-solving skills ...

working on a Reinsurance Pricing Actuary opportunity within a specialist actuarial team, offering a great combination of pricing, modelling and technical development . The role will have a particular focus on treaty pricing , developing and maintaining models within Python and Tyche , alongside broader actuarial analysis and model development. … also work closely with underwriting, exposure and specialist teams to improve the modelling of complex risks and support wider business decision-making. Key areas of the role include: Treaty pricing and pricing model development * Building and enhancing models using Python & Tyche * Model validation, sensitivity analysis and governance * Developing ...

Azure ML or Databricks experience for model lifecycle management• Regulatory knowledge in at least one sector: financial services (preferred), healthcare, insurance or utilities• Strong statistical knowledge: model validation methodology, bias metrics, performance measures and statistical testing• FRM, CFA, PRM or equivalent quantitative qualification is advantageous• FCA/ ...

Jump Trading probe and examine the global markets, seeking to understand the complexities of various traded products and exchanges. They leverage their impeccable statistical analysis and data mining skills, using the results of their research to make forecasts and develop profitable predictive trading models. What You'll Do: Quantitative … collect and analyze tens of thousands of data sets, identify patterns and extract insights into the complexities in financial markets. Researchers lean heavily on statistical analysis, machine learning, and data engineering skills; applying the results of their research to forecasts and predictive trading models. Jump’s Quantitative Researchers ...

collaboration that comes from spending time together in the office. What You'll Do as Senior Decision Scientist Build and deploy ML and statistical models for credit risk, affordability, and pricing Own the full model lifecycle, including data, feature engineering, modelling, validation, deployment and monitoring Develop monitoring frameworks ...

insights and personalisation. The Opportunity: The role will work with our product, engineering and customer success teams. It requires direct expertise with deep learning statistical models that power AI, such as Transformers, and is focused on providing the quality of predictive and prescriptive insight that our customers need … part of our product and engineering pods Knowledge and experience of building and evaluating machine learning models in areas such as clustering, sequence modelling, transformers, and other natural language processing and deep learning. Experience working closely and collaboratively with internal and external business stakeholders to understand their needs Passionate ...

meet our Responsible AI requirement Key Responsibilities Participate in creating, evolving, and developing data science models for Marketing and Consumer Insights teams (Marketing Mix Modelling, Attribution Models, Personalisation, Digital and non-Digital marketing measurement etc) Work closely with product owners, data engineers and machine learning engineers to deliver high … stakeholders and specifically for joint business operations Drive marketing automation, e.g. audience targeting and profiling, content production, digital marketing campaigns optimization... Conceive and implement statistical models and Multi-Variate Tests to measure the impact of business decisions and market disruptions to surface empirical insights Teamwork Contribute to a highly ...

stakeholdersProvide feedback on tools and help provide specifications for new toolsQualifications: The candidate must be able to demonstrate expertise in quantitative analysis techniques including statistical analysis, experience working with market data and large data sets programmatically, and strong analytical skills. Additionally, the candidate should have experience with financial data … through an advanced degree (PhD or Masters) in sciences/math/quantitative discipline and/or practical experience applying quantitative finance theoryExperience implementing statistical modelsUnderstanding of factor models and their applicationsAttention to detail and passion/grit for getting things done, digging into problems, and helping develop solutionsSense ...