26 to 50 of 76 Model Validation Jobs

site-based role, to: Create BIM documentation focused on delivering the BIM goals, launching projects collaboratively and driving forward the BIM agenda. Carry out model validation checks in terms of geometry and data, chair coordination reviews and liaise with model managers for resolutions. Support the deployment of … field data management systems, review validity of information collected against information deliverables. Facilitate delivery of the federated 3D model, hosted and linked BIM data including COBie. Ensure that data exchange protocols are adhered to by the project team and liaise with design team manager on compliance issues. Requirements Ability more »

algorithmic trading strategies, focusing on options Conduct quantitative research and strategy development Support trading desk with analytics across business lines Contribute to pricing framework, model validation, and regulatory compliance Candidate Profile: Proficiency in numerical methods including Monte-Carlo and Stochastic Calculus Extensive knowledge of derivative products, especially options … bonuses Comprehensive benefits package including healthcare, dental, vision, and retirement planning 30 days of holiday and free lunches when in the office Hybrid working model Regular company events and social activities Corporate and Social Responsibility program with charity fundraising matching and volunteer days more »

world's, top (re)insurers, who are looking for a CAT Modeller to join their Data & Analytics team. Key Responsibilities: Catastrophe Modelling Data Analysis Model Validation Risk Assessment Documentation and Reporting Research and Development Required Experience/Qualifications: Bachelor's Degree in relevant field (mathematics, statistics, natural sciences more »

An ability to work as part of a team and with multiple stakeholders Desirable knowledge and experience for these roles are: Experience of FE model validation and updating Understanding of data acquisition and signal processing What Will You Get From Us? As part of our People Promise, AWE more »

testing analysis, offline evaluation and production performance impact monitoring. Work with and optimize third-party vendor solutions to resolve client issues (e.g., rules tuning, model validation, etc.). Analyze batch input and output data for Quality Control purposes, trends analysis, etc. to ensure optimal output performance. Prepare reports more »

Risk A Market Leading Trading Firm is hiring a Senior Quantitative Engineer to work directly with researchers and traders building risk models and maintaining validation infrastructure. Offering opportunity for fast paced progression and chance to innovate the frameworks upon which the trading algos are based, tuning critical software services more »

and translating them into therapeutics. Principal Computational Biologist key responsibilities: – Lead the ‘advanced modelling’ workstreams, and be the point of contact and a role model for advanced modelling within the company. – Maintain strong domain knowledge of leading ‘omic and ‘big data’ computational methods – Drive experimental design & modelling of phenotyping more »

site visits. Key Responsibilities Lead the ‘advanced modelling’ squad within the In Silico Biology Team, and be the point of contact and a role model for advanced modelling within the company. Maintain strong domain knowledge of leading ‘omics' and ‘big data’ computational methods Drive experimental design & modelling of deep more »

communicating the analytical results with the rest of the Engineering staff. Determine, where appropriate, empirical methods, to validate analytical models. If necessary, update the model assumptions and/or empirical methods to correlate the results. Document the results of the analyses in technical reports. Research and Development Research and more »

communicating the analytical results with the rest of the Engineering staff. Determine, where appropriate, empirical methods, to validate analytical models. If necessary, update the model assumptions and/or empirical methods to correlate the results. Document the results of the analyses in technical reports. Research and Development Research and more »

Senior Catastrophe Modeller - Cat Model - Exposure Management - London - Up to £130,000 I am currently working with a World Leading Insurance company who are looking for a Senior Catastrophe Modeller to join their team in London! Responsibilities: Spearhead advancements in analytics automation and the delivery of new reporting processes. more »

inventions every year for customers in over 100 countries. As part of the Electrical Verification Team, you will be involved in the verification and validation of the power system, conducting analysis, and performing calculations to support the maturity and design of the electrical platform. Main Responsibilities: Conducting load flow more »

and obtains data application requirements from the business. Translates business requirements to development teams. Assist with development and testing processes. Coordinate data application and model deployments and validations. Assists with the development of models, analytic processes, and reports. Provides guidance on the development of data consumption processes. Ensures data more »

for a Capital Analyst to join the Actuarial function. Key responsibilities will include, supporting in the parameterisation and development of the capital models including model validation and data quality assessments and ORSA reporting. You will need: To be working towards your Actuarial Exams 2-3 years previous experience more »

there will be ample opportunity to be involved in a variety of CAT/EM project initiatives dependent on your interests and skillset, including model validation & upgrades, event response etc. Working in a dynamic and fast-paced environment within a large team with a highly collaborative and supporting more »

role. preferably manufacturing but not essential. Key Responsibilities Responsible for educating the workforce on information security through training and building awareness. Threat modelling, mitigation, validation, including software and hardware penetration testing. Work with all functions of the IT department to design security into the system and drive security reviews. more »

Modeling Develop analytical and test methods to objectively quantify component characteristics. Determine, where appropriate, empirical methods to validate analytical models. If necessary, update the model assumptions and/or empirical methods to correlate the results. Document results in technical reports and design review presentations. Regular attendance is an essential more »

analytics, working across multiple lines of business. The successful candidate will have ample opportunity to be involved in exciting initiatives such as Research & Development, model validation and project work on an ad-hoc basis as well as helping shape the future development and build-out of this new more »

time to time, assistance in other areas will be needed. This may include, but not be limited to, development of system qualification plans and model management plans. The team will in turn provide support to the creation of these plans when needed. Typical responsibilities will include: Development and maintenance more »

civil aircraft fuel systems however, M&S knowledge applied to products in related sectors will also be considered. Development of system qualification plans and model management plans. The team will provide support to the creation of these plans when needed. Development and maintenance of existing fuel system models but more »

deployment of ML and LLM solutions, from ideation and prototyping to production rollout and continuous improvement. - Establish best practices, standards, and processes for ML model development, validation, and production deployment, leveraging cloud infrastructure (AWS, Azure) and MLOps principles. - Develop and implement robust performance metrics and KPIs to measure … the following skills - Proven expertise in machine learning, deep learning, and natural language processing (NLP) techniques, with a deep understanding of algorithms, architectures, and model optimization. - Hands-on experience in building and deploying end-to-end ML solutions, from data ingestion and preprocessing to model training, evaluation, and … and data engineering tools (e.g., Kafka, Spark). - Expertise in cloud computing platforms (AWS, Azure) and containerization technologies (Docker) for scalable and reliable ML model deployment. - Solid understanding of data privacy, security, and ethical AI principles, with the ability to design and implement robust data governance frameworks. - Excellent communication more »

requirements, gather data, and define project goals. Conduct exploratory data analysis, preprocess and clean data, and perform feature engineering to extract relevant information for model training.Select appropriate machine learning algorithms and techniques, and develop models that are accurate, robust, and scalable.Train and fine-tune machine learning models using large … scale datasets, and optimize model performance through techniques such as hyperparameter tuning. Evaluate and validate models using appropriate metrics and statistical methods, and iteratively refine models based on feedback and insights.Deploy machine learning models into production environments, ensuring scalability, reliability, and efficiency.Collaborate with software engineers to integrate machine learning … models into software systems and develop APIs for model inference. Continuously monitor and evaluate model performance and implement necessary updates or improvements.Stay up to date with the latest advancements in machine learning algorithms, techniques, and tools, and apply them to solve real-world problems Requirements: Bachelor's or more »

of the largest advertising agencies holding companies globally, renowned for its leadership in marketing, communications, and digital transformation. Operating under the Power of One model, we integrate and develop competencies to increase business value for our clients. Publicis Production leverages the entire global production capabilities of Publicis Groupe, alongside … in a fast-paced environment, passionate about innovation, and committed to delivering data-driven solutions. Key tasks Own end-to-end delivery of actionable model outputs, data products, and insights for the Dynamic Content Engine (DCE), involving data extraction, cleaning, preprocessing, and development of AI & machine learning algorithms. Automate … data products and model outputs to enable DCE to consistently drive measurable results and effective insights at scale. Design, measure and refine campaign studies backed by data intelligence across multiple data sources and objectives. Collaborate with stakeholders to share outputs and contribute to the design and delivery of new more »

events Exploring data sources to come up with features and assumptions to enhance our set of risk models Develop and validate probabilistic cyber risk model for the (re)insurance and financial services markets. Define and implement a globally consistent best practice process for data validation, feature selection, and … platform enables both business owners and insurance professionals to comprehend cyber insurance risks without extensive cyber expertise. Precision: Leveraging our patented cyber insurance AI model, 4SEEN®, which draws from proprietary historical data and specialized cyber insurance datasets, we predict and benchmark cyber insurance risks with unprecedented accuracy. Moreover, our more »

tenant satisfaction Working with data engineering to determine how we best represent network data within a graph database? What features can we detect and model from this? For example, in support of minisming repeating repair jobs at the same property. Generating forecasts from timeseries data using traditional (e.g., ARIMA … our interesting problems catalogue. Of course this includes an excellent familiarity with the data science process: experiment/hypothesis formation, data selection, feature engineering, model selection, sampling/cross validation, hyperparameter tuning, model performance metrics, effective code and notebook documentation. Experience of working in a Cloud environment more »