101 to 125 of 306 Statistical Analysis Jobs in the UK

development of evaluation datasets, gold standards, and annotation strategies. Guide and review experimental design, including offline evaluation and A/B testing, ensuring statistical rigor and validity. Contribute to responsible AI practices, including bias, fairness, and risk evaluation Apply and adapt state‐of‐the‐art techniques in NLP, embeddings … e.g., PyTorch, Hugging Face, LangChain, LangGraph, Haystack) Experience working with Databricks or similar distributed data/ML platforms Strong understanding of experimentation design and statistical analysis Preferred qualifications PhD in Computer Science, Data Science, Machine Learning, or a related field Experience working with large‐scale datasets (scientific, biomedical ...

development of evaluation datasets, gold standards, and annotation strategies. Guide and review experimental design, including offline evaluation and A/B testing, ensuring statistical rigor and validity. Contribute to responsible AI practices, including bias, fairness, and risk evaluation Generative AI & Applied Research Apply and adapt state … e.g., PyTorch, Hugging Face, LangChain, LangGraph, Haystack) Experience working with Databricks or similar distributed data/ML platforms Strong understanding of experimentation design and statistical analysis Preferred qualifications Batchelor's, Masters, PhD in Computer Science, Data Science, Machine Learning, or a related field Experience working with large-scale ...

data setsProgramming experience (focus on machine learning): R and/or Python, with SPSS, SAS, or similar tools considered nice-to-haveAbility to prototype statistical analysis and modeling algorithms and apply them to develop data-driven solutions in new domainsAbility to independently own and drive model development while ...

product data into meaningful insights that improve quality, performance and decision-making. Working closely with engineering, manufacturing and digital teams, you will apply analytics, statistical modelling and machine learning techniques to solve complex engineering challenges. The Data Scientist will: Analyse manufacturing, quality and product performance data to identify trends … improvement opportunities. Develop analytical models, dashboards and reporting tools. Apply statistical and machine learning techniques to support engineering decisions. Define data and reporting requirements with engineering and digital teams. Support simulation and modelling activities using real-world data. Present findings and recommendations to technical and non-technical stakeholders. ...

impactful manner to drive data-driven decision making. Deliver deep-dive customer insight and recommendations that explain customer performance and behavioural trends.Advanced Analytics: Apply statistical and analytical techniques such as segmentation, clustering, predictive modelling and campaign measurement. Working knowledge of data science techniques including random forest, k-means … Loosely Held: Be vocal and maintain your point of view while remaining open to new ideas, challenge and opposing perspectives.Who you are:Proficiency in statistical analysis, customer analytics and data visualisation tools. Experience working with large customer, marketing, loyalty or digital datasets. (3+ years)Proven experience writing code ...

business. You'll be responsible for: Analysing large and complex datasets to generate actionable customer insights Building data marts and analytical models Using statistical and machine learning techniques, including regression and clustering Presenting findings clearly to senior stakeholders and influencing data-driven decisions Working collaboratively across teams to identify … opportunities for optimisation About you: 3+ years' experience in statistical analysis and data visualisation Strong SQL and experience with Python and/or R Knowledge of advanced analytics and machine learning techniques Excellent communication and stakeholder management skills A curious, analytical mindset with strong attention to detail Location ...

assisted development: High proficiency using Kiro/Claude as daily development tools not just prompting, but leveraging AI to accelerate pipeline development, data analysis, and automation - Skills & agents: Hands-on experience building AI skills and agents within the Amazon internal ecosystem (AIM, MCP integrations), or a strong desire … data visualization using Tableau, Quicksight, or similar tools- Experience with one or more industry analytics visualization tools (e.g. Excel, Tableau, QuickSight, MicroStrategy, PowerBI) and statistical methods (e.g. t-test, Chi-squared)- Experience with scripting language (e.g., Python, Java, or R)- Experience with SQL- Experience in the data/ ...

will spearhead the development of advanced probabilistic models that power real-time betting markets. Full-time Closes 09/09/2026 The Quantitative Analysis department harnesses data-driven insights to enhance our betting products and services. The team is responsible for designing, developing, and maintaining sophisticated mathematical models … such as scikit-learn, TensorFlow, or PyTorch, Proven ability to design and implement complex machine learning solutions and guiding best practice. Deep understanding of statistical analysis and probability theory. Demonstrable experience overseeing the implementation of highly accurate, computationally efficient, and scalable models for large-scale production environments. Track ...

will spearhead the development of advanced probabilistic models that power real-time betting markets. Full-time Closes 10/06/2026 The Quantitative Analysis department harnesses data-driven insights to enhance our betting products and services. The team is responsible for designing, developing, and maintaining sophisticated mathematical models … such as scikit-learn, TensorFlow, or PyTorch, Proven ability to design and implement complex machine learning solutions and guiding best practice. Deep understanding of statistical analysis and probability theory. Demonstrable experience overseeing the implementation of highly accurate, computationally efficient, and scalable models for large-scale production environments. Track ...

Principal Scientist or Associate DirectorPosition Location: Cambridge, MA HybridKey responsibilities:Lead data science strategy and execution for hypothesis-driven discovery programs, including study design, analysis of experiments, and interpretation of complex biological datasets.Drive multi-omics analytics across genomics, transcriptomics, proteomics, single-cell, spatial, imaging, clinical, and other relevant data … modalities to support target and biomarker portfolios.Translate scientific questions into computational strategies, selecting fit-for-purpose statistical, machine learning, AI, and bioinformatics approaches.Operationalize responsible use of generative and/or agentic AI tools in drug discovery workflows, ensuring scientific rigor, data governance, and appropriate human oversight.Contribute hands-on technical ...

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 ...

experience applying data science methods to solve real-world problems with a proven track record of deploying AI models and solutions to production. Strong statistical analysis skills, with a foundation in probability, to support robust model development and interpretation. Proficiency in Object-Oriented programming in Python with expertise ...

Extensive experience applying data science methods to solve real-world problems with a proven track record of deploying AI models and solutions to production.Strong statistical analysis skills, with a foundation in probability, to support robust model development and interpretation.Proficiency in Object-Oriented programming in Python with expertise ...

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 ...

models that genuinely move the needle. To be successful, you’ll be comfortable getting hands‐on with pipelines and infrastructure - and unafraid of the statistical rigour that serious modelling demands. You’ll work closely with stakeholders across every part of the business - helping them ask better questions, understand … scoped modelling problems with clear success criteria Identifying where predictive, forecasting or optimisation models can have the greatest business impact, and prioritising accordingly Modelling & Statistical Analysis Designing, developing and iterating supervised and unsupervised ML models that predict, forecast and optimise across the business Applying rigorous statistical methods ...

Senior Management is expected. Responsibilities Lead research and development of margin, stress testing, and risk management models for clearing houses. Perform quantitative risk analysis and develop solutions across multiple asset classes (interest rate, equity, credit, and commodity derivatives). Conduct data exploration, statistical analysis, and time series … senior management. Collaborate with technology teams for production implementation and integration of models and data systems. Engage in innovative research in quantitative finance, advanced statistical techniques, and data science. Knowledge and Experience Advanced degree (MSc or PhD) in Mathematics, Statistics, Physics, Quantitative Finance, Data Science, or a related field. ...

governance and data quality standards Develop KPI frameworks and reporting standards to ensure consistent measurement across the business Deliver customer segmentation, profiling and performance analysis to support growth and retention strategies Partner with commercial, marketing and leadership teams to translate insight into action Promote best practice in analytics, data … model development Strong SQL skills and experience working across multiple data sources Experience designing KPI frameworks and performance measurement methodologies A strong understanding of statistical analysis and its application to commercial challenges The ability to communicate complex findings clearly to both technical and non-technical stakeholders A commercially ...

competitive. Create and maintain mathematical specifications for game implementations. Build simulation tools to validate theoretical calculations and game behaviour. Perform Monte Carlo simulations and statistical analysis to verify mathematical accuracy. Present and explain mathematical design decisions and how they affect player experience to technical and non-technical teams … maths development in the igaming industry Strong understanding of probability theory, combinatorics, and statistics. Excellent analytical and problem-solving skills. Experience with Excel and statistical modelling. Programming experience in C#, Java, or similar languages. Ability to interpret large datasets and validate simulation results. High attention to detail and commitment ...

data visualization, who can operate with high autonomy and influence decision-making across cross-functional teams.Key responsibilitiesSearch Evaluation & AnalyticsPerform 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 query …/B 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 & CommunicationOwn and evolve dashboards and reporting systems tracking ...

science best practices and model performance monitoring. Your Skills & Experience Strong experience applying data science techniques within a commercial environment. Advanced Python skills for statistical analysis, machine learning, and data manipulation. Strong SQL capabilities and experience working with large-scale datasets. Experience building predictive models, customer analytics solutions ...

MarTech platforms.Advanced knowledge of analytics and visualisation tools such as Adobe Analytics, Google Analytics, Tableau, or Power BI.Strong technical foundation in SQL, data modelling, statistical analysis, and data interpretation.Proven ability to transform complex data into clear, actionable business insights.Experience working with customer segmentation, personalization, lead scoring, and predictive ...

platforms. Advanced knowledge of analytics and visualisation tools such as Adobe Analytics, Google Analytics, Tableau, or Power BI.Strong technical foundation in SQL, data modelling, statistical analysis, and data interpretation. Proven ability to transform complex data into clear, actionable business insights. Experience working with customer segmentation, personalization, lead scoring ...

Advanced knowledge of analytics and visualisation tools such as Adobe Analytics, Google Analytics, Tableau, or Power BI. Strong technical foundation in SQL, data modelling, statistical analysis, and data interpretation. Proven ability to transform complex data into clear, actionable business insights. Experience working with customer segmentation, personalization, lead scoring ...

practice across the wider analytics community. The Role This is a Senior Product Analytics position with a strong focus on behavioural analytics, experimentation and statistical analysis. You'll take ownership of analytical projects from discovery through to implementation, helping Product and Engineering teams make better commercial decisions through data. ...