151 to 175 of 416 Statistical Modelling Jobs in England

Desirable: Highly numerate and a confident user of Salesforce, Excel and Google products (primarily Google Sheets, Google Slides and Google Data Studio) Confident in statistical modelling (understands and can apply algorithms, regression models and decision trees) Ability to produce machine learning models Experience with BI tools (e.g. Oracle ...

operations analysis, data analysis, or a related role. Strong proficiency in data analysis tools and techniques (e.g., Excel, SQL, Python, R). Experience with statistical modeling and simulation software. Excellent analytical, problem-solving, and critical thinking skills. Effective communication skills, capable of presenting complex data clearly to diverse audiences ...

expect you to know everything from day one, but you should be able to demonstrate the following: Strong knowledge and experience of using statistical methods, predictive models, and machine learning techniques to achieve business objectives. This should include (but is not limited to) GLMs (Generalised Linear Models) and tree ...

infrastructure (PKI), computer networking, and device authentication. Experience with ThreatMetrix® solutions or similar fraud and identity platforms. Familiarity with machine learning, predictive analytics, statistical modeling, scorecard development, or graph analytics. Experience developing fraud detection strategies and risk-based decisioning frameworks. Knowledge of AML, KYC, fraud operations, and regulatory compliance ...

analytics, or private markets datasets. Experience designing and building software and/or data platforms in financial services environmentsor other regulated environments. Experience productionising statistical or quantitative models. Experience supporting AI/ML lifecycle management, including model versioning, experiment tracking, evaluation,servingand deployment pipelines. Our benefits To help ...

Services. Use Microsoft Fabric, Power BI and related tools to prepare, model, validate and analyse data, improving data quality, reporting reliability and insight. Apply statistical, predictive and machine learning techniques where appropriate to identify patterns, forecast trends, support segmentation, evaluate impact and generate practical recommendations. Train and mentor other … Finance, Governance, Data Protection, Change and Transformation, and other teams to deliver joined-up data products and insight. Define and promote Power BI, data modelling and governance standards, including documentation, validation, accessibility, metadata, lineage, security and appropriate use of sensitive data. Your experience: Must Haves: Experienced in data science ...

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 ...

have the following skills and experience: Experience within fraud analytics, fraud prevention or a related risk-focused data science environment. Strong machine learning and statistical modelling skills, with hands-on Python experience (including common data science libraries). Proficiency in SQL and experience working with multiple structured ...

prompt engineering. Hands-on experience with Large Language Models (LLMs), Retrieval-Augmented Generation (RAG) and AI evaluation approaches. Strong data analysis, visualisation and statistical modelling skills. Experience managing AI experimentation and model evaluation activities. Understanding of Responsible AI principles, ethics and data governance. Familiarity with cloud-based ...

this role we are keen to see candidates who are highly numerate and have good analytical skills. You will have experience or knowledge of statistical modelling and be comfortable using varied analytical techniques on large data sets. Experience with Excel is essential and with Python ...

this role we are keen to see candidates who are highly numerate and have good analytical skills. You will have experience or knowledge of statistical modelling and be comfortable using varied analytical techniques on large data sets. Experience with Excel is essential and with Python ...

Engineering, or a related quantitative field Strong verbal and written communication skills Experienced idea generator, able to pitch ideas internally and externally Familiarity with statistical modelling, regression techniques, and core machine‐learning concepts Proficiency in Python or another programming language used for data analysis Knowledge of Q/ ...

this role we are keen to see candidates who are highly numerate and have good analytical skills. You will have experience or knowledge of statistical modelling and be comfortable using varied analytical techniques on large data sets. Experience with Excel is essential and with Python ...

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 ...

record of deploying, operationalizing, and managing AI, ML, and advanced analytics models in a large-scale enterprise environment. Experience in AI/ML algorithms, statistical modeling, and scalable data processing pipelines. Experience with A/B experimentation and the ability to develop and debug production-quality code. Strong written ...

diverse teams. Demonstrated ability to manage multiple priorities and deliver high-quality results in a fast-paced environment. Preferred qualifications, capabilities and skillsProficiency in statistical modeling, data analysis, and financial risk frameworks. J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world ...

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 ...

that others haven't considered yet. You know the marketing and media landscape deeply: how marketing mix models quantify cross-channel marketing effectiveness using statistical or econometrics models, how incrementality testing - from geo-based experiments to causal inference methods - isolates true causal lift, and how behavioral signals derived from ...

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 ...

training re-rankers. Entity/relationship extraction/resolutionKnowledge Graphs; building and inference, graphRAGRecommendation 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. ...

perform data analysis, and collaborate across teams to implement data‐driven improvements within the insurance domain. The role requires strong Python skills, statistical modelling, and experience guiding junior colleagues in a fast‐paced, regulated #J-18808-Ljbffr ...

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 ...

Science and machine learning Excellent Python skills, with SQL expertise Experience delivering end-to-end Data Science projects from development to deployment Knowledge of statistical modelling, forecasting, and predictive analytics techniques Experience communicating technical concepts to non-technical stakeholders Ability to work in a collaborative, business-focused environment ...

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. ...