176 to 200 of 236 Statistical Modelling Jobs in London

data and data science. We address a broad spectrum of reliability problems where data-driven approaches can be applied, combining subject matter expertise with statistical, predictive, and generative AI/ML methods to improve reliability in ways that truly matter to Google's users and customers. In this role … will design statistical and machine learning tools, influencing engineering priorities and roadmaps in key areas like software rollouts and change management. You will have a direct impact on Google Cloud Platform reliability, gaining deep knowledge of relevant engineering infrastructure and data assets to solve complex issues. Behind everything ...

requirements based on technical expertise and domain knowledge Build robust APIs and streaming interfaces to allow controlled access to the Pricing team’s complex statistical models and data products. Champion best SWE practices for testing, observability, CI/CD, and automation within the wider team Constructively critique solutions ...

related quantitative field. 3 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or 3 years of work experience with a PhD degree. Experience with Python, SQL, and statistical modeling. Experience working with generative … related quantitative field. 5 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis. Experience in software development and source control methodologies. Experience working with cloud computing or distributed computing environments. Demonstrated ability to build investigative tools ...

responsible for, the QTR group provides unique growth opportunities for you to develop your abilities and your career. Job responsibilities: Develop and implement mathematical, statistical, and machine learning models to optimize revenue and profitability for stock borrow-loan, cash, and synthetic financing books, as well as predictive analytics … Skills Advanced degree (Masters or PhD) in Statistics, AI/ML, Computer Science, Operations Research, or related quantitative field. Significant experience in quantitative modelling, analytics, or related roles. Strong background in AI, machine learning, operations research, or revenue/yield management. Proficiency in Python for data analysis, modelling ...

responsible for, the QTR group provides unique growth opportunities for you to develop your abilities and your career. Job responsibilities: Develop and implement mathematical, statistical, and machine learning models to optimize revenue and profitability for stock borrow-loan, cash, and synthetic financing books, as well as predictive analytics … Skills Advanced degree (Masters or PhD) in Statistics, AI/ML, Computer Science, Operations Research, or related quantitative field. Significant experience in quantitative modelling, analytics, or related roles. Strong background in AI, machine learning, operations research, or revenue/yield management. Proficiency in Python for data analysis, modelling ...

reproducible analyses and create clear visualisations and summaries for technical and business audiences. Form and test hypotheses; identify where further data, enrichment, analysis or modelling could create additional value for an R&D product or business question. Support the development and evaluation of baseline statistical and machine-learning ...

robust, actionable, and decision-oriented. Act as a senior technical and strategic leader, reviewing and shaping high-impact analytical work, experimentation design, and advanced modelling approaches where required. Partner closely with senior Product, Engineering, Marketing, and Commercial leaders to define priorities, shape roadmaps, and ensure data science is embedded … tooling to improve efficiency, consistency, and speed of decision-making across teams. Champion best practices in experimentation, causal inference, segmentation, and customer understanding, ensuring statistical and analytical rigor across the organisation. Build and maintain strong partnerships with Data Platform, Data Engineering and other central data functions, ensuring the team ...

performing and re-performing loan (NPL/RPL) securitizations and whole loan portfolios within private structures* Emphasis on loan-level and cashflow modelling across illiquid mortgage credit, including collateral analysis, recovery assumptions and structural waterfalls**REQUIREMENTS*** Masters degree or PhD in Mathematics, Physics (non-experimental), Probability/Statistics, Engineering … Mathematical) Finance* Must have a familiarity with mortgage products, Intex and data analysis or empirical modelling is a strong plus alongside asset-backed structured products* Minimum of 3 years of relevant professional experience at a top sell-side or buy-side institution in a front office quantitative role* Exceptional ...

sources. Assess the quality, reliability, and commercial value of datasets to determine whether they are worth purchasing and integrating into products. Design and oversee statistical analysis, modelling, and time series research to validate potential data assets. Work closely with stakeholders across data, partnerships, and technology teams to develop … efficiency and quality. Your Skills & Experience Strong commercial experience in data science, statistics, quantitative research, or a related field. Python skills, with experience applying statistical analysis and time series techniques to complex datasets. Strong understanding of data quality assessment, feature engineering, and modelling. Strong communication skills with the ability ...

partnering directly with JPMorganChase to hire for this role. JOB DESCRIPTION Quantitative Trading & Research (QTR) is an expert group in J.P.Morgan specializing in statistical modelling, data analytics, balance sheet optimization and other quantitative methods to support the Commercial and Investment Bank (CIB) click apply for full job details ...

technology and data analytics business, is looking for a Senior Quantitative Specialist to join its research and development team. This role focuses on developing statistical football models, analysing complex datasets, and building automated betting and perf click apply for full job details ...

Trustpilot is recruiting a Lead Pricing & Monetization Analyst to join our Go-To-Market Analytics team in London. This senior role bridges advanced statistical modeling with strategic GTM execution in a B2B SaaS context. You will analyze our pricing and monetization strategies, build predictive models, and deliver insights through ...

will take responsibility for optimizing NLP algorithms and exploring new applications in gaming using deep learning techniques. Candidates should have a strong understanding of statistical models, familiarity with large language models, and experience with model deployment tools like Hugging Face Transformers and LangChain. #J-18808-Ljbffr ...

latest developments in academia and industry and quickly apply findings in your work. Qualifications Familiar with NLP fundamentals, with a strong understanding of statistical models, related machine learning principles, and experience working on NLP related projects. Proficient in at least one programming language, familiar with basic data structures ...

Circle. You will play a key role in developing, implementing and monitoring these models and drive significant value for the business. Model Development: Develop statistical and machine learning models for commercial lending products. Optimization: Deliver value through the optimization of current models and drive innovation by constantly seeking alternative … that chooses to lift each other up and think smart every day. As part of the Decision Science team, you will create cutting edge statistical and machine learning models and collaborate with data engineers, analysts, and business stakeholders. As well as improving on our previous generation models ...

development of models and frameworks that drive our product strategy forward. What You will do: Lead the development of Data Science within Product, producing statistical models that directly impact the insights and recommendations that drive the product and customer experience. Use your knowledge and experience to help scale … Product Analytics team through data science. Creating automation, self service model capability, improve experimentation velocity, and drive efficiency. Architect and implement sophisticated statistical models (predictive, classification, clustering, etc.) to enhance product features like personalization and recommendations. Exploration of new tooling, product and approaches including Agentic AI and AI Agents ...

deliver data science solutions in support of national security operations. Develop and optimise pipelines to process large, complex datasets. Apply machine learning and statistical methods to generate actionable insight. Produce clear visualisations to communicate results to stakeholders. Work within agile teams to deliver robust, scalable systems. Support cloud deployments … into live operational environments. Seeking Experience in most of the following: Python or similar scripting languages for data exploration and preparation. Machine learning and statistical methods, including model validation. Data analytics and visualisation techniques. Processing large datasets using batch or streaming tools such as Apache Spark. Data acquisition ...

Market (GTM) Analytics team. This is a high-impact, individual contributor role designed for a seasoned expert who can bridge the gap between complex statistical modeling and strategic GTM execution in a B2B SaaS environment. Your mission is to help us answer critical questions about our go-to-market … with product and commercial leadership to evaluate pricing and packaging strategies, analyzing discount behaviors and tracking the financial performance of new monetization initiatives. Advanced Statistical Analysis: Design and execute complex analyses, including cohort analysis, customer segmentation (clustering), and predictive modeling to identify growth levers. Tool & Capability Development: Build ...

Partner 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 ...

Experience crafting data-driven narratives to influence leadership decision making. Experience of successful business partnering with executive business or product leaders. Experience in applying statistical methods and forecasting. Experience with code management concepts (e.g., google3, cider, blaze) and a desire to evolve at pace with AI. Knowledge … technology to transform financial analyses and operations, proactively enhancing the depth of your insights to drive business impact. Manage a portfolio of projects, applying statistical methods to model, decompose, and forecast search engine and auction performance. Act as the connective tissue between global and regional teams to ensure local ...

uptime and revenue. About The Role As a Data Scientist, you will work at the intersection of data science and production systems, deploying advanced statistical models and machine learning methodologies directly within operational environments. You will collaborate closely with engineering and infrastructure teams to optimize GPU utilization, workload scheduling … Computer Science, Statistics, Applied Mathematics, Machine Learning, or related quantitative field 8+ years (or equivalent experience) applying statistical modeling or machine learning to large-scale datasets Strong proficiency in Python and scientific computing libraries (NumPy, pandas, SciPy, scikit‐learn, PyTorch or TensorFlow) Demonstrated experience designing and analyzing controlled experiments ...

Analytics Consultant (Credit Risk, Modelling & Scorecards) One of the world most respected financial services companies (operates globally) requires an Analytics Consultant. As an Analytics Consultant you will play a pivotal role in Client Analytics within Data and Analytics. You will lead analytical and consultancy projects, including the design … development of complex modelling assignments utilising CRA data. You will have frequent engagements with external customers/stakeholders and will manage multiple projects delivering revenue. What You'll Do Our consultants are highly competent at developing statistical models, with hands on detailed analytic & modelling expertise, leveraging ...

cross-functional discussions, ensuring current systems and infrastructure contribute to the multi-year vision for automated claims handling Set a high bar for statistical rigour, experimentation and measurement, helping improve how Claims performance and uncertainty are understood and communicated to senior stakeholders Who You Are You think in systems … shipping Generative AI systems in production (not just prototypes), including evaluation, safety/quality considerations, and integration into customer or operational workflows Strong 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 technical ...

will deploy models from research to production within an engineering framework, collaborating across teams and contributing to client pricing tasks. The role combines rigorous statistical modelling with production code, offering peer reviews, talks, and opportunities for further education. Prior market making experience is highly valued. #J-18808-Ljbffr ...

Role We are looking for a biostatistician with expertise in Bayesian modelling to work on probabilistic modelling of physiological data and medical risk. The role focuses on developing statistical frameworks that combine multiple data sources to estimate the probability of life-threatening deterioration and support triage prioritisation. … engineers, medical advisors, and the product team to design models that operate in real-world environments with noisy and incomplete data. Responsibilities Develop Bayesian statistical models to estimate physiological deterioration risk from multi-sensor data Build probabilistic frameworks integrating vital signs, haemodynamic indicators, motion data, and environmental variables Design ...