26 to 50 of 90 Statistical Analysis Jobs in London

processing and analytical pipelines for mass spectrometry imaging applications. Working with large-scale hyperspectral datasets, you will innovate and apply advanced computational approaches, including statistical modelling and machine learning, to extract meaningful information related to complex biological systems and deliver robust, reproducible scientific insights. As part of a multidisciplinary … technical support for any bids, we may be undertaking About You You are an enthusiastic and innovative scientist with a strong background in the analysis of complex biological datasets and a passion for applying computational methods to challenging scientific problems. You will hold a PhD and possess strong coding ...

with large datasets and data processing technologies (e.g., Hadoop, Spark, SQL) Familiarity with anomaly detection, supervised and unsupervised learning methods, and real-time data analysis Experience with statistical analysis and good presentation skills to drive insight into action; A strong product mindset with the ability to work ...

technology and data analytics business, is looking for a Senior Quantitative Specialist to join its research and development team. This role focuses on developing statistical football models, analysing complex datasets, and building automated betting and performance analysis solutions. Key Responsibilities Develop and enhance football modelling and statistical analysis systems Acquire, clean, and process data from multiple sources Analyse trends and patterns within complex datasets Build automation and data processing tools Support back-testing, simulations, and performance analysis Identify opportunities for process and model improvements Collaborate closely with data scientists and software engineers Requirements Commercial ...

food & beverage industries across the world. We build innovative solutions to support our clients in making transformative business choices by combining forecasting methods, statistical models, GIS, and web tools to create bespoke solutions. We are constantly pushing boundaries to do things better. We have fun and value every member … Strong coding skills in Python, R, Scala, C, Java, or JS Proven track record of using data manipulation and machine learning libraries Practical modelling & statistical analysis experience, ideally customer-related Strong communication skills with proven ability to collaborate with remote global teams Evidence of high attention to detail ...

helping to managing a team of analysts and ensuring that insight is delivered consistently, at pace, and with strong commercial impact. Main Responsibilities Lead analysis across the full customer lifecycle, from acquisition through to retention and lifetime value. Go beyond "what happened" to understand why performance changes across acquisition … increase lifetime value through better engagement, targeting, and product experience. Develop and maintain customer segmentation models to better understand audience behaviour. Conduct cohort analysis to track performance over time and identify patterns in acquisition and retention. Identify high-value customer journeys and opportunities to improve performance across the lifecycle. ...

This is a hands-on role for someone who enjoys getting into the detail of data , working with complex datasets, finding patterns and turning analysis into clear insights that can support student success, retention and teaching effectiveness. You’ll take a leading role in the development … integrations needed to make that information useful. You’ll work closely with academic teams, learning designers, student support, IT and senior colleagues, translating complex analysis into practical recommendations that people can understand and act on. This is a full-time, permanent position and is home-based. As our Learning ...

insights that influence strategy and drive measurable outcomes. Key responsibilities include: Leading advanced analytics and data science projects from concept through to delivery. Applying statistical modelling and analytical techniques to identify trends, drivers and opportunities. Developing prototypes, use cases and analytical frameworks to solve business challenges. Transforming complex datasets … Analytics Management roles. Excellent Python skills (essential). Experience with R and/or SAS is desirable but not mandatory. Strong understanding of statistical analysis, modelling and data-driven decision making. Experience within the pharmaceutical, biotechnology or life sciences Ability to communicate complex analytical findings to senior stakeholders. ...

experience working with large datasets. Experience with BI and data visualisation tools. Strong knowledge of customer lifecycle, retention, LTV or churn analysis. Understanding of statistical analysis, experimentation and predictive modelling. Strong communication skills with the ability to turn analysis into actionable recommendations. Python or R and digital ...

business performance and customer strategy. Responsibilities include: Analysing customer and business data to identify trends, opportunities and actionable insights Delivering post-campaign and performance analysis to support decision-making Developing customer profiles and audience insights Supporting testing and measurement initiatives to evaluate business and marketing performance Creating reports, dashboards … findings and insights to both technical and non-technical stakeholders Your Skills & Experience Strong SQL and/or Python skills for data extraction and analysis Experience working with customer, product, marketing, sales or business datasets Ability to query data from cloud-based environments such as AWS, Azure ...

solutions within a regulated environment. Job Responsibilities: Design, develop, test, and deploy AI and machine learning solutions that address workforce and business challenges Conduct statistical analyses, experiments, and model evaluations to generate actionable insights and recommendations Contribute to model factories and evaluation frameworks that improve model quality, scalability … machine learning or AI solutions using modern tools and techniques Working knowledge of large language models, agentic frameworks, or generative AI technologies Experience with statistical analysis, experimentation, and model evaluation methodologies Proficiency in Python, SQL, and data science tooling used in enterprise environments Strong analytical, problem-solving ...

UEFA, International Olympic Committee, and Mercedes-Benz. Our services span the full digital delivery lifecycle, including architecture, engineering, delivery management, user-centred design, business analysis, data, DevOps, and AI. We operate as a collaborative and inclusive organisation that empowers our people to take ownership, innovate, and develop their expertise. … machine learning and AI models (e.g., predictive models, NLP, computer vision, recommender systems). Explore, cleanse, and transform large structured and unstructured datasets Conduct statistical analysis, experiment design, feature engineering, and model evaluation. Build scalable data pipelines and automate model training and inference processes. Collaborate with engineering teams ...

Compensation £50k-£70k, depending on experience, plus equity & benefits Location London Reports To Saif Ur-Rehman (Director, Data Engineering) Responsibilities Multi-omic data analysis and interpretation. You own the computational analysis of datasets generated by our wet lab (metagenomics, metabolomics, 16S), from QC and feature extraction through statistical analysis and biological interpretation. Computational studies. You run your own proof-of-concept investigations: microbiome-compound interactions, community dynamics, predictive biomarkers. You're a scientist with hypotheses, not a technician with a task list. Perturbation data quality. You own the validation layer between the bench and the models. ...

machine learning and AI models (e.g., predictive models, NLP, computer vision, recommender systems). Explore, cleanse, and transform large structured and unstructured datasets Conduct statistical analysis, experiment design, feature engineering, and model evaluation. Build scalable data pipelines and automate model training and inference processes. Collaborate with engineering teams ...

user engagement 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. … with the ability to present complex data to executive leadership in a clear, compelling, and concise manner using Keynote. Preferred Qualifications Advanced proficiency in statistical programming languages (e.g., Python, R) for deep-dive behavioural analysis and predictive modelling. 5+ years operating in an international or regional capacity, successfully ...

Hugging Face, LangChain, LangGraph, Haystack) Experience working with Databricks or similar distributed data and machine learning platforms Understanding of experimentation methodologies, evaluation frameworks, and statistical analysis Proficiency with data visualization and analytical tooling (e.g., Tableau, Power BI, matplotlib, seaborn) Demonstrated ability to independently execute technical projects and contribute ...

computational biomedical sciences. The role involves developing and applying advanced artificial intelligence methods to digital pathology data, including whole-slide imaging, computational image analysis, and multi-modal clinical data integration. The research aims to improve disease diagnosis, prognostic modelling, and precision medicine approaches. The postholder will work closely with … funding applications Required Expertise/Skills Expertise in machine learning and artificial intelligence methodologies Strong background in digital pathology, medical imaging, or computational image analysis Proficiency in programming languages such as Python, R, or equivalent scientific computing tools Experience with deep learning frameworks and large-scale data analysis ...

experience with OOP principles; Knowledge and experience developing and evaluating GenAI/LLM solutions, including automated eval harnesses and prompt engineering; Experience with statistical analysis, experiment design, and failure mode analysis in LLM systems; A strong product mindset with the ability to work independently in a cross ...

activities. These span a wide range of areas including electronic lab notebook templatization and integrations, data capture and storage, results processing, dashboarding, and statistical analysis activities. They will also share responsibility with the wider Data Science team for providing technical support to scientists across these areas. Job Description … data accessibility across the R&D organisation. Perform data mining, data exploration and feature generation to bring proof of concept AI/ML/statistical/mechanistic/hybrid modelling in collaboration with data scientists and bench scientists. Serve as part of the technical support team for software utilised ...

work confidently with large, complex datasets. Experience with modern cloud data platforms such as BigQuery, Snowflake, Redshift, or similar. Strong understanding of experimentation, statistical analysis, performance measurement, and KPI development. Experience with data visualisation tools such as Tableau, Looker, or Power BI. Ability to communicate complex analytical findings … senior and executive stakeholders. Commercial mindset with a track record of using data to influence business outcomes. Python experience for analysis or automation would be advantageous. ...

operate with high autonomy and influence decision-making across cross-functional teams. Key responsibilities Search Evaluation & Analytics Perform a leading role in analysis of search and retrieval system performance, including ranking quality and relevance. Help define and standardize search evaluation metrics (e.g., NDCG, MAP, recall, precision, CTR). Analyze … testing and experimentation frameworks for search and ranking improvements. Partner with product and data science to define success metrics and experiment strategies. Ensure statistical rigor in experiment design, analysis, and interpretation. Build reusable experimentation templates and scalable analysis workflows. Data Visualization & Communication Own and evolve dashboards ...

grade AI/ML applications and tools are built, maintained, and optimized Establish best practices for monitoring, evaluating, and improving solution performance Guide the analysis of large and complex datasets to identify trends and opportunities for automation Engage with subject matter experts and senior stakeholders to gather requirements …/ML, including leading teams and projects from conception to production Strong foundation in AI/ML concepts and practical experience with data analysis, feature engineering, and model development Experience working with large, complex datasets and applying statistical analysis Hands‐on experience training, deploying, and maintaining machine ...

resolution quality, customer effort, process adherence, consistency, fairness, durability of resolution and cost effectiveness. Identify the root causes of issues by combining machine learning, statistical methods and domain expertise from colleagues to understand what genuinely drives customer outcomes. Identify and test solutions Turn analytical insight into concrete proposals … help the team prioritise where to invest. Design and analyse experiments to determine whether proposed changes genuinely improve customer and business outcomes. Use statistical modelling and causal inference where controlled experiments are not practical. Shape the automation strategy Determine the right intervention for different customer problems whether they should ...

opportunity to join our team at Smartodds as a Execution Research Quantitative Analyst. Based in North London, Smartodds provides in-depth research and analysis on sporting events around the world, supported by world-class, bespoke software platforms. We are proud of our collaborative and dynamic culture, grounded … understand the information provided from clients through their actions, the role might also include analysing betting patterns and market behaviour. This role combines rigorous statistical and mathematical modelling with production engineering. You will take models from research through to deployment, writing well-tested, documented code that integrates into ...

agents to production: evaluation and guardrails, cost control, or making them available in Slack, Teams or similar tools. Applied data science (exploratory or statistical analysis), and dashboarding tools such as Looker or Power BI. Marketing platforms and an understanding of marketing data. About the company Part ...

looking for a passionate Analytics Engineer to join our Actuarial and Underwriting Analytics team. This team leverages technical expertise in actuarial modelling, statistical analysis, and risk management solutions to support a high-impact team of 90+ underwriters. The Actuarial team works seamlessly with Underwriting to help the company ...