1 to 25 of 56 Remote/Hybrid Statistical Analysis Jobs in the UK

potential policy changes The LTEC programme is a strategically important, research initiative designed to address critical evidence gaps long-term, systematic data collection and analysis across 37 sites in England. The programme's success depends not only on data collection, but on robust statistical design and analysis … monitoring design, a key 2026/27 priority, ensuring that future data collection is efficient, targeted, and statistically robust. skills & requirements Key Tasks * Provide statistical leadership for the LTEC programme, undertaking complex statistical analysis to help meet its primary objectives. * Unlock the value of long-term datasets ...

that drive informed decision‐making for our clients. You will also work closely with clients to help shape their data strategy. Key responsibilities Data analysis and reporting : Conducting in-depth data analysis, generating reports, and providing actionable insights for client projects. Data and BI visualisation : Producing BI dashboards … etc. Client interaction : Collaborating with clients to understand their needs, translating these into analytical solutions, and presenting findings in a clear, actionable manner. Requirements Analysis and synthesis Application of analytical techniques : Proficiency in applying various analytical methods such as statistical analysis, data mining, and qualitative analysis. Ability ...

real weight with regulators, courts, customers and candidates, and the methodology behind them has to hold up. The role spans AI system evaluation, rigorous statistical analysis, synthetic data generation, and an applied understanding of hiring and selection procedures. You’ll join a team with deep expertise in behavioral … social sciences, evaluation methodology, and structured bias testing. You’ll need strong statistical and probabilistic reasoning: fluency with techniques like uncertainty quantification, experimental design, causal inference and Bayesian modeling. Just as essential is commercial instinct: the judgment to design rigorous, workable methods within real product goals and constraints, built ...

with demonstrable examples of problem statements or hypotheses through to analytical outputs. At least 3 years of intermediate-level experience with using SQL and statistical platforms (in an analytical context). At least 2 years of foundational-level experience with using Python and statistical analysis … with demonstrable examples of problem statements or hypotheses through to analytical outputs. At least 3 years of intermediate-level experience with using SQL and statistical platforms (in an analytical context). At least 2 years of foundational-level experience with using Python and statistical analysis ...

scientific data into software the rest of the business can rely on? We're looking for an experienced Engineering Manager to lead our Data Analysis team - so named for what the product delivers to customers, though the team itself is a software and algorithm engineering team - building the applications … salary review and the opportunity to work on genuinely innovative semiconductor technology About the role You’ll lead the team that builds our image‐analysis application: consolidating multiple data streams from the microscope, flattening and correcting scan images, recognising scanned features and measuring their height, and running statistical ...

conversion bottlenecks, and opportunities to improve sign-up rates. Monitor key subscription and user engagement metrics through daily, weekly, and monthly dashboards, and own analysis of metric changes over time. Perform deep-dive analyses on user retention. Present user insights to stakeholders by clearly identifying our most valuable users … models, continuously refining them by incorporating new data to improve accuracy. Build and improve churn prediction models to proactively identify at‐risk subscribers, using statistical or machine learning techniques as needed. Work with large subscription and engagement datasets to calculate LTV and churn while accounting for promotional pricing, seasonality ...

communicate progress and deliver results. Sharp analytical skills — you love digging into data, solving problems, and turning insights into action. You’re skilled in statistical analysis, regression, correlation analysis, and exploratory data analysis (EDA) Exceptional communication and stakeholder management skills — you can influence at all levels ...

understand their requirements and translate them into practical analytical solutions. Analyse large and complex datasets to identify trends, patterns, opportunities and issues. Use statistical and mathematical techniques to investigate business problems and support decision-making. Develop predictive models, algorithms and machine learning solutions where appropriate. Use R for statistical analysis, modelling and data science. Use Python to develop scripts, automate processes and deploy analytical solutions. Challenge assumptions and investigate the underlying drivers behind business performance. Reporting & Visualisation Develop and maintain Tableau dashboards and reporting for teams across the business. Improve existing reports and identify opportunities to make ...

subscription analytics. Advanced SQL skills with experience working in cloud-based data warehouse environments. Experience creating data models and transforming raw event data into analysis-ready datasets. Strong dashboarding and reporting experience using BI tools such as Looker Studio or similar platforms. Knowledge of statistical analysis techniques … including cohort analysis, experimentation, regression, survival analysis, and predictive modelling. Experience developing LTV, retention, or churn analysis frameworks. Excellent problem-solving skills and attention to detail. Ability to communicate complex insights and influence stakeholders across multiple business functions. Experience with Python or R would be beneficial. Exposure ...

between business goals and technical execution. Your day to day will include: Analysing and understanding a business problem or opportunity Undertaking research and analysis to understand how a business or business area works, considering the people, organisation, processes, information, data and technology Identifying areas for improvement, explore feasible options … needs to enable effective design, development and testing of services and business change making decisions related to prioritisation and minimum viable product by using analysis led insights Ensuring new products and services meet business and user needs, and are aligned with organisational goals Understanding any business and policy constraints ...

Senior Business Intelligence Analyst with strong analytical and technical skills to help improve our digital, marketing, engagement and fundraising activity. Youll use advanced analysis, predictive techniques and data visualisation to uncover audience insight, optimise content and channels, and turn complex data into clear, practical recommendations. Working closely with colleagues … projects, develop reports and dashboards, and help build confidence in data-led decision-making across the organisation. What youll be doing Conducting in-depth analysis to understand audience behaviour, campaign, channel and content performance, and engagement trends Applying advanced analytical techniques, including propensity modelling, predictive analytics and segmentation ...

excellent opportunity for a mid-level Data Scientist who enjoys solving real-world business problems and wants the opportunity to work across machine learning, statistical analysis and data-driven decision-making. Key Responsibilities Develop and deploy machine learning and statistical models to solve business problems. Analyse large … complex datasets to identify trends, patterns and opportunities. Use Python and SQL to extract, manipulate and analyse data. Perform exploratory data analysis and feature engineering. Build predictive models and evaluate their performance. Work closely with Data Engineers to ensure reliable and scalable data pipelines. Translate technical findings into clear ...

PowerBI, Tableau, Qlik Programming languages: SQL, Python, R Experience in any aspects of the data analytics lifecycle, for example: Data Manipulation and ETL Data Analysis & Visualization Applying machine learning statistical analysis and other advanced analytics techniques to key business issues faced by our clients that can transform ...

schemas, DAX measures, KPIs, calculation logic and documented business rules. Introduce AI in a practical, responsible and well-governed way, identifying opportunities to improve analysis, automate routine tasks and support better decision-making. Help establish one version of the truth by creating consistent definitions, trusted measures, governed models … Services. Use Microsoft Fabric, Power BI and related tools to prepare, model, validate and analyse data, improving data quality, reporting reliability and insight. Apply statistical, predictive and machine learning techniques where appropriate to identify patterns, forecast trends, support segmentation, evaluate impact and generate practical recommendations. Train and mentor other ...

process more than 1.5 million bets per hour at peak. Job Description As a Data Scientist, you will develop machine learning solutions and perform statistical analysis to inform strategic, data-driven business decisions and initiatives. Our Data Analytics team monitors, analyses, and optimises key performance indicators across … systems, and big data technologies. Additional Information Sourcing, cleaning, and validating diverse datasets from various internal and external sources. Conducting in-depth exploratory data analysis to uncover hidden patterns, identify trends, and generate actionable insights that inform strategic business decisions. Developing and deploying robust statistical and machine learning ...

process more than 1.5 million bets per hour at peak. Job Description As a Data Scientist, you will develop machine learning solutions and perform statistical analysis to inform strategic, data-driven business decisions and initiatives. Our Data Analytics team monitors, analyses, and optimises key performance indicators across … systems, and big data technologies. Additional Information Sourcing, cleaning, and validating diverse datasets from various internal and external sources. Conducting in-depth exploratory data analysis to uncover hidden patterns, identify trends, and generate actionable insights that inform strategic business decisions. Developing and deploying robust statistical and machine learning ...

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 ...

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 ...

Extracts knowledge and insights from high volume, high dimensional data in order to investigate complex business problems through a range of data preparation, modeling, analysis and/or visualization techniques, which may include statistical analysis, predictive modeling and pattern recognition. Role The Role: Support the delivery … data analysis, reporting and business insight activities across the Insights & Workflow team, ensuring outputs are accurate, timely and aligned to business requirements. Work with large datasets to extract, clean, transform and validate information for use in operational reporting, workflow management and decision-making. Assist with the creation, maintenance ...

quite flexible as a team and meet in person as needed for meetings and team collaboration. We are passionate about delivering high-quality analysis and insight, using data and evidence to support decision-making, reduce health inequalities and improve the health and wellbeing of Surrey's residents. Our Offer … order to be considered for shortlisting, your application will clearly evidence the following skills, experience and align with our behaviours: Experience of using statistical and epidemiological methods for analysing data sets Experience of working with multiple sets of health-related data Experience of using analytics as evidence within assessments ...

quality standards, governance practices, and reporting best practices. Partner with leadership teams to define key performance indicators (KPIs) and operational metrics. Support root cause analysis activities by combining telemetry, operational, and business data sources. Contribute to continuous improvement initiatives by identifying automation opportunities and reducing manual reporting processes. Document … Data Lake, or related cloud data technologies. Experience creating executive dashboards and operational reporting solutions. Knowledge of machine learning, anomaly detection, predictive analytics, or statistical analysis techniques. Experience working with large-scale telemetry, operational, or IoT datasets. Familiarity with DevOps practices, CI/CD pipelines, and GitHub Actions. ...

quality standards, governance practices, and reporting best practices. Partner with leadership teams to define key performance indicators (KPIs) and operational metrics. Support root cause analysis activities by combining telemetry, operational, and business data sources. Contribute to continuous improvement initiatives by identifying automation opportunities and reducing manual reporting processes. Document … Data Lake, or related cloud data technologies. Experience creating executive dashboards and operational reporting solutions. Knowledge of machine learning, anomaly detection, predictive analytics, or statistical analysis techniques. Experience working with large-scale telemetry, operational, or IoT datasets. Familiarity with DevOps practices, CI/CD pipelines, and GitHub Actions. ...

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 ...

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 ...