1 to 25 of 57 Experimental Design Jobs in London

experience in the field. Extensive experience with machine learning and deep learning toolkits (e.g.: TensorFlow, PyTorch, NumPy, Scikit-Learn, Pandas). Ability to design experiments and training frameworks, and to outline and evaluate intrinsic and extrinsic metrics for model performance aligned with business goals. Experience with big data More ❯

end analysis of large, complex datasets related to channel performance, user behavior, and market trends, translating raw data into actionable insights Develop hypotheses, design experiments (e.g., A/B tests), and build structured analyses to rigorously evaluate campaign effectiveness and drive data-driven decisions for channel growth Partner More ❯

MBA, Master's or Doctoral degree in Economics, Marketing, Statistics, Advertising, or Business/Digital media planning experience Experience in ad measurement, predictive analytics, experimental design, A/B testing Experience and familiarity with AWS stack Fluent in French or other European languages More ❯

MBA, Master's or Doctoral degree in Economics, Marketing, Statistics, Advertising, or Business/Digital media planning experience. - Experience in ad measurement, predictive analytics, experimental design, A/B testing. - Experience and familiarity with AWS stack. - Fluent in French or other European languages. Amazon is an equal More ❯

end analysis of large, complex datasets related to channel performance, user behavior, and market trends, translating raw data into actionable insights Develop hypotheses, design experiments (e.g., A/B tests), and build structured analyses to rigorously evaluate campaign effectiveness and drive data-driven decisions for channel growth Partner More ❯

recommendations. Expertise in interrogating data using SQL and writing custom SQL queries, and understanding of database structures. Understanding of statistical analysis techniques used for experimental design such as regression analysis, hypothesis testing, multivariate analysis, and time series analysis. Excellent verbal and written communication skills to effectively present More ❯

recommendations. Expertise in interrogating data using SQL and writing custom SQL queries, and understanding of database structures. Understanding of statistical analysis techniques used for experimental design such as regression analysis, hypothesis testing, multivariate analysis, and time series analysis. Excellent verbal and written communication skills to effectively present More ❯

recommendations. Expertise in interrogating data using SQL and writing custom SQL queries, and understanding of database structures. Understanding of statistical analysis techniques used for experimental design such as regression analysis, hypothesis testing, multivariate analysis, and time series analysis. Excellent verbal and written communication skills to effectively present More ❯

mentor more junior team members. Advanced knowledge of machine learning algorithms and general statistical methodologies and theory. Advanced knowledge of AB testing and design of experiment. Advanced Python and SQL skills, experience using Spark for processing large datasets. Understanding of software product development processes and governance, including CI More ❯

Fabric and Azure DevOps or similar. Passionate about the transformative impact the right information can have on a business. Strong grasp of statistical methods, experimental design and the underlying principles of machine learning algorithms. Ability to transform, analyse and model data from a variety of data sources … programming for modelling and/or data analysis is essential, preferably with experience using the spaCy NLP framework and BERT. Knowledge of database design as well as strong experience with SQL queries is desirable. Familiarity with R and other common languages and tools would be beneficial. Proficiency in More ❯

translate between data and business needs. Experience in scripting for automation (e.g. Python) and advanced SQL skills. Experience with theory and practice of design of experiments and statistical analysis of results. Additional experience with theory and practice of information retrieval, data science, machine learning and data mining. PREFERRED More ❯

explain complex concepts to stakeholders. Strong knowledge of machine learning algorithms and general statistical methodologies and theory. Basic knowledge of AB testing and design of experiment. Advanced Python and SQL skills, experience using Spark for processing large datasets. Understanding of software product development processes and governance, including CI More ❯

machine learning models in production. Experience with visualization tools like Tableau, Power BI, or D3.js. Understanding of A/B testing, statistical analysis, and experimental design. What You Can Expect from Our Recruitment Process: We'll start by reviewing your CV. A one-hour interview with our recruitment team More ❯

to define and refine product strategies that align with customer needs and company objectives. Collaborate with internal stakeholders to shape the technical roadmap. Design Control Leadership: Lead the design control process, overseeing the planning, execution, and documentation of product development activities to ensure robust and compliant … medical device industry, with a focus on hands-on product development and regulatory compliance. Proven track record in leading technical teams and managing design control processes while remaining actively involved in execution. Experience with FDA submissions and familiarity with global regulatory standards. Strong project management and organizational skills … ability to prioritize and manage multiple initiatives. Exceptional technical documentation and communication skills, with the ability to engage diverse stakeholders. Hands-on expertise in experimental design, data analysis, and product testing within a lab environment. The role is a remote position, with a 40-hour workweek, flexible More ❯

s strategic priorities. BASIC QUALIFICATIONS Experience programming to extract, transform and clean large (multi-TB) data sets Experience with theory and practice of design of experiments and statistical analysis of results Experience in scripting for automation (e.g. Python) and advanced SQL skills. Experience with theory and practice of More ❯

modelling, and analysis. BASIC QUALIFICATIONS Experience programming to extract, transform and clean large (multi-TB) data sets Experience with theory and practice of design of experiments and statistical analysis of results Experience with AWS technologies Experience in scripting for automation (e.g. Python) and advanced SQL skills. Experience with More ❯

modelling, and analysis. BASIC QUALIFICATIONS - Experience programming to extract, transform and clean large (multi-TB) data sets - Experience with theory and practice of design of experiments and statistical analysis of results - Experience with AWS technologies - Experience in scripting for automation (e.g. Python) and advanced SQL skills. - Experience with More ❯

working according to ISO 13485 standards. The role may provide on a project need basis supervision for other team members, planning and coordinating various experimental work and troubleshooting. Duties and Responsibilities Assist the R&D Manager/Team Leader on a variety of scientific projects, including new product development … assay design, data generation and troubleshooting. Lead the technical development of new products, being responsible of product design, experimental project planning and execution and communication of findings and progress to different stakeholders. Design, develop, and verify designs for a wide range of molecular … designing assays or enzymatic reactions using molecular biology technologies (e.g. end-point PCR, real-time PCR, LAMP, NGS) Experience in protein chemistry (protein design, expression, purification) Demonstrated expertise in protein characterization (biochemical and/or functional) Good understanding of chemical principles involved in buffers, stabilizers, enhancers, fluorescent chemistry More ❯

working according to ISO 13485 standards. The role may provide on a project need basis supervision for other team members, planning and coordinating various experimental work and troubleshooting. Duties and Responsibilities Assist the R&D Manager/Team Leader on a variety of scientific projects, including new product development … assay design, data generation and troubleshooting. Lead the technical development of new products, being responsible of product design, experimental project planning and execution and communication of findings and progress to different stakeholders. Design, develop, and verify designs for a wide range of molecular … designing assays or enzymatic reactions using molecular biology technologies (e.g. end-point PCR, real-time PCR, LAMP, NGS) Experience in protein chemistry (protein design, expression, purification) Demonstrated expertise in protein characterization (biochemical and/or functional) Good understanding of chemical principles involved in buffers, stabilizers, enhancers, fluorescent chemistry More ❯

recommender systems to increase customer engagement, or modeling and measurement marketing channels. Lead and partner with engineering teams to drive modeling and technical design for complex business problems, often guiding engineers to apply the best scientific practices in software development. Lead complex modeling analyses to help management and … engagement Real-time bidding algorithms Causal inference frameworks Cross-channel marketing effectiveness Forecasting systems Our recent innovations include: A novel Bayesian approach to geo-experimental design A novel Bayesian marketing mix model GenAI for analytics (Text-to-SQL) ML-driven audience targeting and content optimization Customer behavior More ❯

Principal RE positions are available for candidates with the required seniority and experience. Person Specification Successful candidates will work with other researchers to design and run studies that answer important questions about the effect AI will have on society. For example, can AI effectively change people's political … of these areas: Computational social science Machine learning (research engineer/research scientist) Data Science, especially including Natural Language Processing Advanced statistical modelling and experimental design. Required Skills and Experience We select based on skills and experience regarding the following areas: Writing production quality code Writing code efficiently, especially … using Python Demonstrable interest in the societal impacts of AI Experimental design Demonstrable experience running research experiments involving AI models and/or human participants Strong quantitative skills Data analytics Data science methods Frontier model architecture knowledge Frontier model training knowledge Model evaluations knowledge AI safety research More ❯

to a high-impact initiative focused on “Value for Money” , aimed at enhancing customer perception of pricing while maximising commercial outcomes. THE ROLE Design and execute complex experiments , including A/B tests, regression models , and hypothesis testing , to inform pricing and promotional strategies. Analyse the effectiveness of … candidate for this role will have: Strong proficiency in SQL and Python , with experience handling large datasets and conducting advanced analyses. Demonstrated expertise in experimental design, A/B testing , and statistical hypothesis testing . Background in product analytics, data science , or a related field with a More ❯

to a high-impact initiative focused on “Value for Money” , aimed at enhancing customer perception of pricing while maximising commercial outcomes. THE ROLE Design and execute complex experiments , including A/B tests, regression models , and hypothesis testing , to inform pricing and promotional strategies. Analyse the effectiveness of … candidate for this role will have: Strong proficiency in SQL and Python , with experience handling large datasets and conducting advanced analyses. Demonstrated expertise in experimental design, A/B testing , and statistical hypothesis testing . Background in product analytics, data science , or a related field with a More ❯

empirical research methodologies, potentially in fields outside of machine learning, and statistical analysis (T-shaped: some deep knowledge, lots of shallow knowledge, in e.g. experimental design, A/B testing, Bayesian inference, model selection, hypothesis testing, significance testing). Deeply care about methodological and statistical rigor, balanced More ❯

effort and money. BASIC QUALIFICATIONS Experience programming to extract, transform and clean large (multi-TB) data sets. Experience with theory and practice of design of experiments and statistical analysis of results. Experience with AWS technologies. Experience in scripting for automation (e.g. Python) and advanced SQL skills. Experience with More ❯