51 to 75 of 171 Statistical Analysis Jobs in England

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 ...

accurate, reliable and ready for analysis. Exploring data to identify patterns, trends, outliers and opportunities that can support stronger commercial and operational decisions. Applying statistical and machine learning techniques to build predictive and prescriptive models, test hypotheses and solve real business problems. Using Python, PySpark and SQL to analyse … understand business needs and translate them into data-led solutions. Presenting actionable insights and recommendations to technical and non-technical stakeholders, helping teams turn analysis into commercial value. Exploring cutting-edge AI methodologies responsibly and identifying opportunities to improve processes, products and decision-making. Contributing to timely project delivery ...

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 ...

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 ...

Join a new small team at MBDA Bolton and become an expert in the field of Flying Probe Manufacturing Data Analysis, developing your skills and shaping the future of circuit card manufacturing in MBDA UK. Salary: Circa £45,000 depending on experience Dynamic (hybrid) working: 4-5 days … follow a well‐documented development process, starting from an initial circuit card data‐pack, through the import to Flying Probe, debugging of tests and statistical data analysis of results. This concludes with a reliable and robust test package that can be deployed to the manufacturing operations team ...

recommend solutions. Collecting, preparing, cleansing, and analysing data from multiple sources. Building skills in: Data Science and Analytics Machine Learning and Artificial Intelligence Statistical Analysis Data Engineering Fundamentals Data Visualisation and Storytelling Programming and Automation (e.g. Python, SQL) Supporting the development and testing of predictive models and analytical … improvement of analytical solutions. What You Will Learn Throughout the apprenticeship, you will gain experience and knowledge in: Data collection, preparation, and management techniques. Statistical methods and hypothesis testing. Programming languages such as Python and SQL. Machine learning concepts and model development. Data visualisation and storytelling techniques. Exploratory ...

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 ...

experimental data into meaningful insights, visualisations and scalable analytical workflows. The Data Scientist will: Develop tools and workflows to automate the extraction, processing and analysis of experimental data. Build and maintain data pipelines, databases and analytical frameworks. Generate meaningful features, visualisations and reports from complex datasets. Apply statistical analysis and machine learning techniques to support product development decisions. Present insights to both technical and non-technical stakeholders. Develop scripts, tools and automation solutions to improve business efficiency. Identify opportunities to enhance existing data methodologies and accelerate development cycles. The Data Scientist will have: A degree ...

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 ...

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 ...

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. ...

recommend solutions. Collecting, preparing, cleansing, and analysing data from multiple sources. Building skills in: Data Science and Analytics Machine Learning and Artificial Intelligence Statistical Analysis Data Engineering Fundamentals Data Visualisation and Storytelling Programming and Automation (e.g. Python, SQL) Supporting the development and testing of predictive models and analytical ...

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 ...

public services. Knowledge of statutory children’s data returns (such as CIN, CLA or SSDA903). Experience using Python or R for automation, statistical analysis or forecasting. Experience working with data warehouses and semantic models. Knowledge of Mosaic or similar social care case management systems. Experience of DevOps ...

data lakes, and modern data platforms Familiarity with advanced analytics or machine learning concepts Experience with Microsoft Power Platform for process automation Understanding of statistical analysis, reporting, and visualisation techniques What We Offer Industry aligned competitive salary 33 days annual leave, including bank holidays Access to learning resources ...

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. ...

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 ...

actively encouraged. The Role You will be responsible for: Collecting, cleaning, and preparing data from multiple sources to ensure quality and accuracy. Applying statistical analysis and machine learning techniques to solve business challenges. Building, deploying, and maintaining predictive models that deliver tangible value. Developing and enhancing … Strong commercial experience delivering data science solutions. Excellent Python or R programming skills. Strong SQL capabilities for data extraction and analysis. Experience with forecasting, statistical modelling, and machine learning techniques. Knowledge of the full data science lifecycle from model development through to deployment and monitoring. Experience working with cloud ...

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 ...