13 of 13 Remote Statistical Analysis Jobs in the UK

relating to data integrity, reporting accuracy, and performance insights are satisfied in a timely and efficient manner. The Data Analyst will lead and facilitate the use of various data analysis processes and tools, striving toward standardised data management and reporting practices across the business. The role supports forecasting, performance modelling, data-driven decision-making, and reporting for key business … and internal teams through accurate reporting, proactive analytics, and early identification of performance or process issues. Skills and Responsibilities *Support key business portfolios through the use of appropriate data analysis and problem-solving techniques to provide regular performance and trend reporting for products, services, or platforms, using data from multiple sources, with strong attention to detail and analytical rigor. … Perform statistical analysis including data categorisation, trend analysis, variance analysis, and identification of significant factors affecting business performance. *Monitor key metrics through dashboards and early warning systems to identify risks, inefficiencies, or opportunities for improvement. *Standardise data analysis and reporting methods across the business to drive simplicity, efficiency, and accuracy. *Responsible for producing, visualising, and More ❯

improve services. You will also use your analytical expertise to identify trends, risks, and opportunities, ensuring housing services are efficient, tenant-focused, and sustainable. Principal duties and responsibilities: Perform statistical analysis, data mining and retrieval processes on a large amount of data, to identify trends, create management dashboards providing in-depth insights with a focus on identifying trends. … tools and techniques, such as surveys, focus groups, and data mining. Demonstrated experience in turning raw data into insights that influence business decisions and improve service delivery. Experience with statistical techniques, including trend analysis, segmentation, and regression analysis, to provide meaningful insights. Experience with SQL for querying databases. Solid understanding of key issues in social housing, such More ❯

improve services. You will also use your analytical expertise to identify trends, risks, and opportunities, ensuring housing services are efficient, tenant-focused, and sustainable. Principal duties and responsibilities: Perform statistical analysis, data mining and retrieval processes on a large amount of data, to identify trends, create management dashboards providing in-depth insights with a focus on identifying trends. … tools and techniques, such as surveys, focus groups, and data mining. Demonstrated experience in turning raw data into insights that influence business decisions and improve service delivery. Experience with statistical techniques, including trend analysis, segmentation, and regression analysis, to provide meaningful insights. Experience with SQL for querying databases. Solid understanding of key issues in social housing, such More ❯

e.g., MRI, Northgate, Civica, or Orchard) and the ability to apply advanced analytics to operational challenges in housing (desirable). Demonstrated experience in using machine learning, predictive modelling, and statistical analysis to solve real-world problems. Expertise in statistical modelling, predictive analytics, clustering, classification, and regression techniques. Strong background in data mining, pattern recognition, and anomaly detection More ❯

e.g., MRI, Northgate, Civica, or Orchard) and the ability to apply advanced analytics to operational challenges in housing (desirable). Demonstrated experience in using machine learning, predictive modelling, and statistical analysis to solve real-world problems. Expertise in statistical modelling, predictive analytics, clustering, classification, and regression techniques. Strong background in data mining, pattern recognition, and anomaly detection More ❯

pivotal role in extracting insights from large and complex datasets to drive strategic decision-making. Collaborating closely with various subject matter experts across various fields, our team leverages advanced statistical analysis, machine learning techniques, and data visualization tools to uncover patterns, trends, and correlations within the data. Additionally, we are dedicated to delivering new, innovative capabilities by deploying … as Hadoop and or working in Snowflake/Databricks. Ability to partner with cross-functional teams (Commercial, Medical, Operations) to execute brand tactics. Able to connect, integrate and synthesize analysis and data into a meaningful so what to drive concrete strategic recommendations for brand tactics. Capable of describing relevant caveats in data or in a model and how they More ❯

with our growth in the UK and Ireland, we're looking for a Data Analyst to join our dynamic technology team. You will be responsible for the collection and analysis of data from various sources in order to provide insights and solutions for various business problems using various tools and techniques, such as statistics, programming, databases, visualisation and machine … experience in relevant areas, including queries, reports, and presentations Experience with database and model design and segmentation techniques Proven success in a collaborative, team-oriented environment Practical experience in statistical analysis through the use of statistical packages, including Excel, PowerBI, SPSS, and SAS Strong programming experience with frameworks, including XML, JavaScript, and ETL Experience of managing Microsoft … an eye on what drives business performance, and investigate and communicate which areas need improvement in efficiency and productivity Creating and maintaining rich interactive visualisations through data interpretation and analysis, with reporting components from multiple data sources Defining and implementing data acquisition and integration logic, selecting an appropriate combination of methods and tools within the defined technology stack to More ❯

Develop and implement machine learning models and algorithms to solve real-world business challenges. Collaborate with cross-functional teams to identify opportunities where data science can create value. Conduct statistical analysis and data mining to extract insights from large, diverse datasets. Translate complex data findings into clear and actionable recommendations for both technical and non-technical audiences. Ensure More ❯

Data Scientist - Remote (Data Scientist, Data Science, Data Analyst, Data Analysis, ETL pipeline, Jupyter notebooks, Python, Azure Data Factory, Cosmos DB, PostgreSQL, QGIS, PostGIS, Statistics, Data Analytics, C# .NET, Data Scientist, Data Science, Data Analyst, Data Analysis) Our client is a prestigious technology company who focus in the Insurance market. They have been a market leader for many … responsible for analysing large datasets to extract actionable insights, build predictive models and develop data-driven solutions to complex problems. You will play a major part in data visualization, statistical analysis and collaboration with cross-functional teams to implement data-driven decision making. We are seeking a Data Scientist with experience of Python and Jupyter notebooks with the … implications, full ETL pipeline experience and full data lifecycle management knowledge. Essential skills include Jupyter notebooks and Python, strong Data Visualization and presentation, expertise in Data Science and Data Analysis and proficiency in Statistics and Data Analytics. Knowledge of Azure Data Factory, Cosmos DB, PostgreSQL, QGIS/PostGIS and C#.NET is highly desirable, as is any experience in the More ❯

contributions in the world of sports analytics. Key responsibilities for the role of Data Scientist include: Collect, clean, and process football-related data from various sources. Develop and implement statistical models and algorithms to analyze player performance and match outcomes. Create detailed reports and visualizations to communicate insights and recommendations to technical and non-technical stakeholders. Collaborate with football … industry experience in a Data Science role and a strong academic background Python Data Science Stack: Advanced proficiency in Python , including pandas , NumPy , scikit-learn , and Jupyter Notebooks . Statistical & ML Modelling: Strong foundation in statistical analysis and proven experience applying a range of machine learning techniques to solve business problems (e.g., regression, classification, clustering, time-series … etc.) and visualization libraries like mplsoccer . Advanced MLOps & Modelling: Deeper experience with the Vertex AI lifecycle (especially Pipelines ) and advanced modelling techniques relevant to football (player valuation, tactical analysis). Bayesian Modelling: Experience with probabilistic programming (e.g., PyMC). Stakeholder Management: Proven success working directly with business stakeholders to define and deliver impactful solutions. What They Offer Work More ❯

experimentation culture, using data to answer our biggest questions and guide the evolution of the Lyst experience. You will own the entire experimentation lifecycle, from ideation and design to analysis and strategic recommendations, ultimately influencing what millions of shoppers see every day. In this role you will: Champion Experimentation: You will be a key part of Lyst's A …/B testing framework across web and app. You will set the standard for excellence, continuously improving our practices and ensuring statistical rigour in everything we do. Drive Strategy: Go beyond individual tests to answer broad strategic questions. You'll partner with Product, Design, and Engineering leaders to identify key opportunities, conduct impact analysis, and help shape the … environment, working alongside Product Managers, Designers, and Engineers to build and iterate. Technically Fluent: Your toolkit is sharp. You would ideally possess: Strong proficiency in SQL and experience with statistical analysis using languages like Python or R. Familiarity with advanced techniques such as Bayesian methods and Causal Inference is helpful but not essential. Experience with advanced modelling concepts More ❯

specialists What You'll Bring Proven experience in analytics or BI (preferably within professional services) Strong skills in Power BI, DAX, SQL, and Python Experience with predictive modelling or statistical analysis A proactive, commercial mindset and ability to translate data into decisions What We Offer Hybrid working - 2 days from home? Bonus scheme? Private healthcare? Learning and development More ❯

Role: SAS Admin ((Statistical Analysis System) Location: London, UK Mode: Hybrid Type: Contract Job Description: Key Responsibilities: Manage and maintain SAS platform environments, ensuring stability, performance, and security Develop and optimize SAS programs using SAS Enterprise Guide and advanced SAS coding techniques Collaborate with cross-functional teams to deliver data and analytics solutions Perform routine platform maintenance, upgrades More ❯