8 of 8 DemandTrendPermanent Experimental Design Jobs in the South East

supervision. Analyze large, diverse datasets to extract impactful insights that can guide Exchange product and pricing strategy. Collaborate with cross-functional teams (Product, Engineering, Commercial, Operations, Finance) to design, implement, and test new and existing products, as well as to understand, analyze, explain, and predict the impact of platform algorithms on clients and partners. Define, establish, and drive … development of advanced statistical and machine learning methods, setting modeling standards and best practices. Conduct exploratory analyses to deepen insights into key metrics and trends, and lead the design and execution of A/B tests and other complex experiments to validate hypotheses for the Exchange. Continuously evaluate and validate both internal and external products to ensure Cint … large, complex datasets independently. Deep understanding of advanced statistical techniques and concepts (e.g., properties of distributions, hypothesis testing, parametric/non-parametric tests, survey design, sampling theory, experimental design, including multivariate testing, regression/predictive modeling, causal inference, and A/B testing). Strong knowledge of various machine learning techniques (e.g., clustering, regression, decision More ❯

supervision. Analyze large, diverse datasets to extract impactful insights that can guide Exchange product and pricing strategy. Collaborate with cross-functional teams (Product, Engineering, Commercial, Operations, Finance) to design, implement, and test new and existing products, as well as to understand, analyze, explain, and predict the impact of platform algorithms on clients and partners. Define, establish, and drive … development of advanced statistical and machine learning methods, setting modeling standards and best practices. Conduct exploratory analyses to deepen insights into key metrics and trends, and lead the design and execution of A/B tests and other complex experiments to validate hypotheses for the Exchange. Continuously evaluate and validate both internal and external products to ensure Cint … large, complex datasets independently. Deep understanding of advanced statistical techniques and concepts (e.g., properties of distributions, hypothesis testing, parametric/non-parametric tests, survey design, sampling theory, experimental design, including multivariate testing, regression/predictive modeling, causal inference, and A/B testing). Strong knowledge of various machine learning techniques (e.g., clustering, regression, decision More ❯

interpret large data sources independently. Familiarity with core statistical concepts and techniques (e.g. properties of distributions, hypothesis testing, parametric/non-parametric tests, survey design, sampling theory, experimental design, regression/predictive modeling, stochastic modeling/simulation, and more). Exposure to a variety of machine learning methods (clustering, regression, tree-based models, etc.) and More ❯

interpret large data sources independently. Familiarity with core statistical concepts and techniques (e.g. properties of distributions, hypothesis testing, parametric/non-parametric tests, survey design, sampling theory, experimental design, regression/predictive modeling, stochastic modeling/simulation, and more). Exposure to a variety of machine learning methods (clustering, regression, tree-based models, etc.) and More ❯

predictive models for compliance risk, or uncovering patterns in complex legal datasets. You’ll collaborate with experienced data scientists, machine learning engineers, and legal subject-matter experts to design, develop, and deploy models that transform how organisations interact with legal information. What You’ll Be Doing: Designing and building machine learning and NLP models to process and analyse … full data science workflows: from data acquisition and cleaning to modelling, validation, and deployment. Applying statistical, deep learning, and neuro-symbolic AI techniques to generate actionable insights. Contributing to experimental research, model prototyping, and performance benchmarking. Presenting findings clearly to both technical and non-technical stakeholders, including legal teams. Collaborating across data science, engineering, and product teams to build … visa sponsorship for this role). Desirable (Not Essential): Familiarity with deep learning frameworks (e.g. PyTorch, TensorFlow). Exposure to cloud platforms (AWS, GCP, or Azure). Experience with experimental design, research methods, or academic publishing. Understanding of MLOps, version control (Git), or containerisation (e.g. Docker). Benefits: 💰 Competitive Salary & Bonus: £35,000 – £45,000 plus bonus More ❯

predictive models for compliance risk, or uncovering patterns in complex legal datasets. You’ll collaborate with experienced data scientists, machine learning engineers, and legal subject-matter experts to design, develop, and deploy models that transform how organisations interact with legal information. What You’ll Be Doing: Designing and building machine learning and NLP models to process and analyse … full data science workflows: from data acquisition and cleaning to modelling, validation, and deployment. Applying statistical, deep learning, and neuro-symbolic AI techniques to generate actionable insights. Contributing to experimental research, model prototyping, and performance benchmarking. Presenting findings clearly to both technical and non-technical stakeholders, including legal teams. Collaborating across data science, engineering, and product teams to build … visa sponsorship for this role). Desirable (Not Essential): Familiarity with deep learning frameworks (e.g. PyTorch, TensorFlow). Exposure to cloud platforms (AWS, GCP, or Azure). Experience with experimental design, research methods, or academic publishing. Understanding of MLOps, version control (Git), or containerisation (e.g. Docker). Benefits: 💰 Competitive Salary & Bonus: £35,000 – £45,000 plus bonus More ❯

predictive models for compliance risk, or uncovering patterns in complex legal datasets. You’ll collaborate with experienced data scientists, machine learning engineers, and legal subject-matter experts to design, develop, and deploy models that transform how organisations interact with legal information. What You’ll Be Doing: Designing and building machine learning and NLP models to process and analyse … full data science workflows: from data acquisition and cleaning to modelling, validation, and deployment. Applying statistical, deep learning, and neuro-symbolic AI techniques to generate actionable insights. Contributing to experimental research, model prototyping, and performance benchmarking. Presenting findings clearly to both technical and non-technical stakeholders, including legal teams. Collaborating across data science, engineering, and product teams to build … visa sponsorship for this role). Desirable (Not Essential): Familiarity with deep learning frameworks (e.g. PyTorch, TensorFlow). Exposure to cloud platforms (AWS, GCP, or Azure). Experience with experimental design, research methods, or academic publishing. Understanding of MLOps, version control (Git), or containerisation (e.g. Docker). Benefits: 💰 Competitive Salary & Bonus: £35,000 – £45,000 plus bonus More ❯

you'll do: Develop, optimise and characterise plasma etching processes such as RIE and ALE in silicon nitride and related materials and with a focus on nanophotonics devices Design and execute experiments to understand etch mechanisms, selectivity, and profile control for nanoscale structures Utilise process simulation tools (e.g., Coventorware, Sentaurus, SEMuator 3D or similar) to model and predict … lithography, magnetron sputtering, PECVD, etc. Employ a range of metrology techniques (e.g., SEM, AFM, ellipsometry, reflectometry) for in-depth characterisation of material properties and measurement of nanoscale geometry Analyse experimental data, troubleshoot issues, and implement corrective actions to improve the process and device performance Collaborate closely with internal teams as well as external partners to integrate the etch processes … with the overall waveguide manufacturing flow Document experimental procedures, results, and process specifications in detail Identify opportunities to optimise or even develop materials, tools, and processes for scaling towards mass manufacturing Knowledge, Skills & Abilities: Strong theoretical understanding of plasma physics and chemistry related to dry etching Knowledge of both standard and novel materials for photonic applications along with a More ❯