26 to 50 of 111 Experimental Design Jobs in London

learning and deep learning methods 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 ...

learning and deep learning methods Hands‐on experience building agentic AI/multi‐agent systems within regulated or compliance‐driven environments Ability to design experiments and training frameworks, and to outline and evaluate intrinsic and extrinsic metrics for model performance aligned with business goals, with a focus ...

patterns, with a proven track record of optimizing funnel conversion, retention cohorts, and Customer Lifetime Value (LTV). Strong foundation in statistical analysis and experimental design (A/B and multivariate testing), with the ability to define rigorous testing frameworks to validate product and programming improvements. Strong ...

position where you’ll work embedded within the client’s team, requiring strong autonomy, initiative, and the ability to represent CI&T professionally Design, implement, and analyze A/B tests to measure product and feature performance Apply statistical methods to ensure test validity and generate actionable insights … data into clear, compelling visual narratives Working Style: Demonstrated autonomy, initiative, and ability to work independently in client environments Statistical Analysis: Strong capability in experimental design, A/B testing methodologies, and statistical inference Advanced SQL for complex queries and data manipulation #J-18808-Ljbffr ...

develop horizontal capabilities through APIs, libraries, and thought leadership. You will collaborate with Line of Business AI teams to address priority use cases, design and build services, and promote best practices in AI. Your role will involve mentoring a team of AI engineers and ensuring the firm stays … have worked in one of the top commercial AI research labs Deep understanding of AI fundamentals and practical experience with data analysis and experimental design Recent hands-on experience training, deploying models and pipelines Familiarity with distributed computing patterns for training, serving, persistence of state Experience ...

customer experiences. Задачи: Lead deep-dive analysis across customer funnels and journeys to identify opportunities to improve conversion, engagement, and retention; Own the design, execution, and evaluation of A/B tests and experimentation frameworks; Identify growth opportunities and influence prioritisation through data-led recommendations and experiments; Translate … support junior analysts and contribute to analytical best practices. Требования: Structure ambiguous problems and translate data into actionable insight; Apply statistics, hypothesis testing, and experimental design in product environments; Advanced SQL skills; Strong experience with Python, including pandas and NumPy, for large-scale data analysis; Lead ...

practical experience applying machine learning techniques to prediction problems, with a clear understanding of overfitting risks and robust model validation. Deep understanding of statistics, experimental design, hypothesis testing, and research methodology. Strong programming skills in Python. Excellent communication and collaboration skills, with the ability to work effectively ...

research publications Skills/Must Have Strong quantitative background with excellent analytical and problem-solving skills Python programming experience Understanding of statistics and experimental design Experience working with data science or machine learning workflows Interest in LLMs, generative AI and agentic systems Ability to analyse data ...

with agentic engineering, including agentic coding tools, specification-driven or evaluation-driven development, or multi-agent orchestration Practical experience with statistical data analysis and experimental design Practical software development experience in collaborative settings Excellent communication skills and strong executive presence, with credibility as a thought leader ...

statistical analysis. Preferred qualifications: 2 years of experience managing an Analytics or Data Science team, including prioritisation, roadmapping, coaching and performance management. Experiences with experimental design and supervised/unsupervised ML approaches for regression and classification tasks. Experience of root cause analysis to ensure that problems ...

practical experience applying machine learning techniques to prediction problems, with a clear understanding of overfitting risks and robust model validation. Deep understanding of statistics, experimental design, hypothesis testing, and research methodology. Strong programming skills in Python. Excellent communication and collaboration skills, with the ability to work effectively ...

platform. We're scaling our Boston screening platform and releasing a public foundation model this year. You're the person who makes our experimental output computationally actionable. Relocation? Yes Compensation £50k-£70k, depending on experience, plus equity & benefits Location London Reports To Saif Ur-Rehman (Director, Data Engineering) Responsibilities … scientist with hypotheses, not a technician with a task list. Perturbation data quality. You own the validation layer between the bench and the models. Experimental drift, contamination, batch effects, protocol deviations: you catch them before they corrupt model training. Reproducible analytical infrastructure. As methods mature, you convert ...

solutions while supporting the continued growth and development of our professional workforce. Key Responsibilities Product analytics — Define metrics for new and existing features. Design and analyse A/B tests end-to-end: hypothesis, sample sizing, statistical readout, and decision recommendation. Diagnose user behaviour, identify drop-off points … window functions, CTEs, query optimisation. Strong Python — pandas, numpy, scipy, statsmodels (or equivalent); able to build analysis pipelines, not just notebooks. Solid applied statistics — experimental design, hypothesis testing, sample sizing, multiple testing correction, regression, causal inference fundamentals. You know when a statistical method fits and, more importantly ...

Bachelor’s degree or equivalent practical experience. 5 years of experience in game design, including … more shipped commercial titles. Experience architecting agentic workflows and implementing generative AI models within a game production or software development pipeline. Experience leading experimental design projects or Research and Development initiatives. Experience with UI/UX systems or mechanics that focuses on player accessibility and cognitive load ...

Develop alpha signals and trading features based on order flow, liquidity, queue dynamics, price formation, cross-venue behavior, and short-horizon market response. Design, backtest, and implement market-making and risk-taking strategies, including pricing, order placement, cancellation, queue-position management, fill-probability estimation, and inventory control. Develop … deployment. Strong programming and data-analysis skills in Python; proficiency in C++ or another high-performance language is highly desirable. Demonstrated rigor in experimental design and evaluation-ability to separate economically meaningful effects from overfitting, leakage, optimistic fills, and regime-specific artifacts. Preferred Qualifications, Capabilities, and Skills ...

pricing decisions at the same rigor the team already uses for VP measurement: difference-in-differences, CausalImpact/BSTS-style approaches, or comparable quasi-experimental design, with suppression and substitution effects accounted for rather than a naive before/after comparisonRun two to three workstreams concurrently with ...

turning promising ideas into reliable software. You communicate clearly, collaborate generously and take responsibility for what you ship. What you’ll be doing Design, develop and operate core AI capabilities within Kinsworth. Build and improve reasoning, knowledge and decision systems. Combine language models with structured data, computational methods … with typed application languages such as TypeScript.Practical experience with modern ML and LLM systems, including structured outputs, retrieval, tool use and evaluation.Strong understanding of experimental design, model limitations and systematic error analysis.Experience building and operating cloud services, including testing, observability and AI/ML operations.Ability to translate ...

generation of breakthrough experiences. If you are a systems-thinker who views AI not just as technology, but as a brand-new design material, we want you on the team. Inception runs like a startup, balancing high energy idea generation with pragmatic, clear and regularly refined operations. This … more shipped commercial titles. Experience architecting agentic workflows and implementing generative AI models within a game production or software development pipeline. Experience leading experimental design projects or Research and Development initiatives. Experience with UI/UX systems or mechanics that focuses on player accessibility and cognitive load ...

other incrementality tests that show, with real statistical rigour, what's driving growth and what isn't. You'll take these from initial design through to the final recommendation, and you'll be the person other teams planning, strategy, digital, data science come to for a straight answer … used to read digital campaign performance Grow the measurement team's capability and mentor more junior analysts What you'll need: Solid grounding in experimental design and causal inference — you've actually run tests like this before, not just read about them Comfortable moving between econometrics, digital ...

identify, assess and recommend opportunities to optimise business performance. Analyse large and complex datasets to uncover trends, risks and commercially valuable insights. Design and develop meaningful business metrics and measurement frameworks. Use SQL to extract, manipulate and analyse data. Synthesise information from multiple sources and translate findings into … Experience analysing and managing large or complex datasets. Strong statistical analysis and data-synthesis capabilities. Experience designing metrics, dashboards and business reports. Understanding of experimental design and data-led decision-making. Ability to turn analytical findings into persuasive business recommendations. Strong presentation and data-storytelling skills. Good ...

gain hands-on experience working alongside senior researchers and industry experts in a collaborative environment. You will be involved in data collection, algorithm development, experimental design, and analysis, contributing directly to research outputs that have real-world applications. This role is ideal for fresh graduates ...

United States Digital Space LLC in London is seeking a Junior Data Scientist to design experiments and build statistical models guiding how we reach new customers in sales and marketing. You will work under the mentorship of the team’s data scientist, collaborating with analysts, software engineers ...

capability Understand common statistical-learning models and machine-learning algorithms for classification and regression Have sound statistical fundamentals, including hypothesis testing and experimental design Can independently take an ambiguous problem from discussion to a useful model or analysis Communicate clearly and confidently with technical and non-technical ...

L. What you'll do Translate ambiguous business problems into modelable formulations Build, evaluate and ship classical ML and modern LLM solutions Design experiments and causal analyses to quantify impact Own model monitoring, drift detection and lifecycle in production Communicate insights to executive stakeholders with clarity What ...

development and application of advanced computational, engineering, and quantitative approaches to biological systems. The role involves close collaboration with cross-disciplinary teams, integrating experimental and computational methodologies to generate new insights into biological processes and disease mechanisms. Key responsibilities include designing and conducting high-quality research, developing analytical … computational pipelines, contributing to experimental design, and interpreting complex datasets. The post holder will also be expected to disseminate findings through peer-reviewed publications, conference presentations, and collaborative engagements. The position offers access to state-of-the-art facilities and a vibrant academic environment that supports innovation ...