76 to 100 of 236 Statistical Modelling Jobs in London

Build and manage the desk's AI tooling and contribute to the continued development of the desk’s research platform. Apply data science and statistical techniques to improve decision-making, workflow automation, monitoring, and analytics. Design, implement, and maintain production-grade software solutions used by the desk … DevOps practices. Strong communication and collaboration skills, with the ability to work effectively across business and technology teams. Desirable Experience with data science, statistical modelling, or large-scale data analysis. Experience developing front-office applications, automation frameworks, or other business-critical software. Experience building AI, machine learning ...

actionable insights for non-technical audiences; Collaborative, enablement-focused mindset with a focus on self-service; Nice to have: Experience with machine learning or statistical modelling in a production context, exposure to AI product development, LLM tooling, or data applications, experience with data quality frameworks, semantic layers ...

Desirable: Knowledge and understanding of the cell and gene therapy industry. Experience designing and implementing system integrations using APIs and integration frameworks. Experience with statistical modelling, DoE, multivariate data analysis and process analytics, including applications such as JMP. Proficiency in programming skills in languages such as Python. Skills ...

teams. Demonstrated ability to manage multiple priorities and deliver high-quality results in a fast-paced environment. Preferred qualifications, capabilities and skills Proficiency in statistical modeling, data analysis, and financial risk frameworks. #J-18808-Ljbffr ...

will help build quantitative models, methodologies, and infrastructure to price, hedge, and trade financial products, advancing algorithmic trading and data-driven strategies such as statistical arbitrage. ABOUT THE PROGRAM Our Global Markets teams develop sophisticated solutions to help clients manage risk, increasereturnsand solve complex financial problems. We hold leadership ...

engage with clients to help them understand the implications and make plans to act on them. What you'll do: Develop and apply advanced statistical models that help clients understand dynamic business issues. Leverage analytic techniques to use data to guide client and ZS team decision-making. Use tools ...

design of data specifications, field mappings, and data quality assessments for pricing and rating factor datasets. Assist in the design and validation of modelling datasets and analytical frameworks that support statistical pricing models (e.g., GLMs). Prepare clear, concise analytical outputs and presentations suitable for both technical ...

Data Scientist. This builds on the knowledge of the Data+ certification and enables you to demonstrate your knowledge in advanced data processing, cleaning, and statistical modelling concepts. You will demonstrate your knowledge of machine learning, industry trends and use of specialised data science applications. You will also apply … mathematical and statistical methods appropriately. Step 5 is not a requirement for our job guarantee as this stage is designed to advance your data career to the next level. Our money back guarantee If after 1 year of passing your formal qualifications, we have been unable to help ...

Data Scientist. This builds on the knowledge of the Data+ certification and enables you to demonstrate your knowledge in advanced data processing, cleaning, and statistical modelling concepts. You will demonstrate your knowledge of machine learning, industry trends and use of specialised data science applications. You will also apply … mathematical and statistical methods appropriately. Step 5 is not a requirement for our job guarantee as this stage is designed to advance your data career to the next level. Our money back guarantee If after 1 year of passing your formal qualifications, we have been unable to help ...

Experience developing charting and data visualizations. Desirable: Experience in building ad hoc ETL processesKnowledge and understanding of LavaStorm or Dataverse. Experience in ad hoc statistical modelling and toolsKnowledge of Salesforce data model would be an advantage. Knowledge of N-Printing an advantage. Knowledge of R or Python. ...

development of AI and machine learning solutions using LLMs, generative AI, and agentic AI. Solve complex business problems through advanced analytics, experimentation, and statistical modelling. Build production-ready AI solutions from concept through deployment and monitoring. Establish best practices for model evaluation, testing, validation, and responsible AI. Design ...

machine learning models in a production environment. Fraud, risk, or financial services experience is a strong plus. Solid grounding in data science fundamentals: experimentation, statistical inference, model evaluation, and feature engineering. Comfort working in fast-paced, cross-functional teams with high ownership expectations. Skills & Competencies: Proficiency in Python ...

sources using Python, R, SQL, Excel, or other tools. Conduct analyses related to consumer behaviour, market trends, and campaign performance. Build, maintain, and apply statistical and predictive models, including regression, econometrics, Bayesian methods, and Marketing Mix Modelling (MMM). Develop dashboards, charts, and visualizations to communicate insights effectively … Share best practices within the team and contribute to knowledge-sharing initiatives. Take ownership of your professional development, pursuing certifications and training in analytics, modelling, and programming. Actively participate in office meetings, training sessions, and team initiatives. Champion and role-model our core values: Curiosity, Creativity, Excellence, Transmission, Pleasure. ...

role sits in the Quantitative Analytics pillar of the IRRBB team within Treasury. We are a small but growing team that focuses on behavioural modelling of the Bank's evolving balance sheet. We are at the intersection of Finance, Risk and Data Science, combining aspects of all three disciplines … foreign exchange. The Analyst will primarily focus on ALM but will also have the opportunity to closely collaborate with other Treasury areas through their modelling work. This is a permanent role in the team to continue building capacity, and you will be a key driver in the development, implementation ...

Moody's Investors Service in Greater London is seeking a candidate to develop statistical models for tropical cyclone risk assessment. The ideal candidate will have a PhD in a relevant field and strong skills in statistical modelling and programming (Python, R, or Julia). Responsibilities include conducting … research on tropical cyclone behavior, collaborating with cross-functional teams, and implementing advanced modelling methodologies. Join a dedicated team advancing catastrophe modelling and climate risk analytics in a multidisciplinary environment. #J-18808-Ljbffr ...

rankers. Entity/relationship extraction/resolution Knowledge Graphs; building and inference, graphRAG Recommendation systems and ranking: personalisation, learning-to-rank, feed ranking, user modelling, etc. Tabular ML: feature engineering, structured data modelling (GBDTs, etc.) Statistical & Predictive Modelling: supervised ML, anomaly detection, temporal modelling, etc. ...

operating production‐grade models within financial services or other highly regulated, high‐availability environments. Deep expertise in applied data science and ML, including statistical modelling, predictive analytics, model development, validation, deployment, monitoring, and optimisation across the full model lifecycle. Strong hands‐on technical skills, with the ability … delivering models that perform reliably in production and create tangible business value. Excellent communication and stakeholder management skills, with the ability to clearly explain modelling decisions, assumptions, risks, and limitations to both technical and non-technical audiences. Influential leadership and collaboration, capable of driving alignment and technical excellence across ...

operating production-grade models within financial services or other highly regulated, high-availability environments. Deep expertise in applied data science and ML, including statistical modelling, predictive analytics, model development, validation, deployment, monitoring, and optimisation across the full model lifecycle. Strong hands-on technical skills, with the ability … delivering models that perform reliably in production and create tangible business value. Excellent communication and stakeholder management skills, with the ability to clearly explain modelling decisions, assumptions, risks, and limitations to both technical and non-technical audiences. Influential leadership and collaboration, capable of driving alignment and technical excellence across ...

Commercial Targeting and Modelling Manager Required to be based in either London, Coventry or Glasgow. As a Barclays Commercial Targeting and Modelling Manager, you will have responsibility for a named business line, and will drive the marketing strategy for customer contacts to deliver near-perfect/relevant targeting … relationships with the Product and Channel teams to drive through plans and strategy. Communicating the recommendations of analysis to senior stakeholders to maximise performance. Statistical modelling to enhance the marketing campaign touchpoints. Qualifications Analytical experience, preferably within the financial services, products or segments, digital or Telco industries. Excellent ...

multiple data modalities (transcriptomics, chromatin accessibility, imaging and proteomics) for joint analysis. Exposure to foundation model development or perturbation prediction models. A background in statistical modelling and algorithm development. Experience working in interdisciplinary teams. Personally, you Are comfortable working in a matrixed environment, balancing multiple stakeholders and contributing ...

Formulate hypotheses related to how Spotify plans and delivers, and communicate insights effectively to a range of audiences. Apply analytical techniques - including statistical models and machine learning - to identify trends and generate insights that improve how we work. Build and maintain the data models, pipelines, and dashboards that provide ...

Software Engineers to ensure we log and model the right data to produce high-integrity business insights. Data-driven automations and solutions: Apply statistical modeling and exploratory data analysis to identify bottlenecks and drop-off points across the merchant onboarding journey, delivering insights to help Product Managers prioritize automation ...

clear results orientation with an intense focus on achieving short and long‐term goals in an uncertain and fluid environment. Working knowledge of statistical model building, SQL querying, market research, or consulting. Where and how you'll work This is a permanent position based in our London office. ...

lifecycle management. Significant leadership experience in managing data science/R&D teams and driving technology innovation. Extensive experience in AI/ML algorithms, statistical modeling, and scalable data processing pipelines, with a strong background in modern data platforms (e.g. Databricks or equivalent), cloud-based technologies, data mesh architectures ...

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 ...