1 to 25 of 68 Statistical Analysis Jobs

Senior Statistical Analyst London Contract – Maternity cover, 12 months fixed term Working hours – Full time (35 hours per week). Standard working hours between 9am – 5pm. Working arrangements – London, hybrid homeworking (minimum 6 days a month in office). We are seeking to recruit a confident and enthusiastic Senior … Statistical Analyst with proven ability to work comfortably on their own and as part of a team. They will work on statistical analysis projects, having expertise in improving data quality, data analysis, data reporting, and communicating statistics and trends to a lay audience. The person will ...

seeking a Senior Data Analyst/Equal Pay Specialist to lead the technical delivery of the Equal Pay Audit. This role involves undertaking advanced statistical analysis of workforce and pay data to identify, quantify, and explain pay differentials, ensuring that outputs are robust, transparent, and defensible. … Role: Lead pay modelling and statistical analysis, including mean, median, and weighted pay comparisons across employee groups. Analyse pay outcomes across protected characteristics (gender, ethnicity, disability) and other demographics where data allows. Identify statistically and practically significant pay gaps, trends, and risk areas. Assess differentials to determine whether ...

transformation. You will analyze existing processes and vast amounts of data to design autonomous AI agents. We seek individuals passionate about leveraging advanced data analysis, statistical modeling, and AI/ML techniques to solve complex business challenges through high-quality, cloud-centric software delivery. Our culture thrives … business needs and develop NLP/ML solutions that address client needs and drive transformation.\ NApply large languagemodels (LLMs), machine learning (ML) techniques, and statistical analysis to enhance informed decision-making and improve workflow efficiency, which can be utilized across investment functions, client services, and operational process.\ NCollect ...

transformation. You will analyze existing processes and vast amounts of data to design autonomous AI agents. We seek individuals passionate about leveraging advanced data analysis, statistical modeling, and AI/ML techniques to solve complex business challenges through high-quality, cloud-centric software delivery. Our culture thrives … develop NLP/ML solutions that address client needs and drive transformation. \n Apply large language models (LLMs), machine learning (ML) techniques, and statistical analysis to enhance informed decision-making and improve workflow efficiency, which can be utilized across investment functions, client services, and operational process. \n Collect ...

transformation. You will analyze existing processes and vast amounts of data to design autonomous AI agents. We seek individuals passionate about leveraging advanced data analysis, statistical modeling, and AI/ML techniques to solve complex business challenges through high-quality, cloud-centric software delivery. Our culture thrives … develop NLP/ML solutions that address client needs and drive transformation. \n Apply large language models (LLMs), machine learning (ML) techniques, and statistical analysis to enhance informed decision-making and improve workflow efficiency, which can be utilized across investment functions, client services, and operational process. \n Collect ...

outstanding trust? If so, come and be a part of our team. We need you! The Integrated Intelligence & Improvement Service specialises in statutory reporting, analysis, business intelligence, performance monitoring and service improvement. An exciting opportunity has arisen for an enthusiastic Specialist Information analyst to join our dynamic team. This … position is well suited to an individual that is looking to advance their career in analysis and gain hands on experience in a thriving and supportive workplace. It offers exciting opportunities for both personal and professional development, to learn and develop across a breadth of different teams. An Enhanced ...

identify trends, risks and opportunities that support commercial performance and strategic decision-making. Ensure data accuracy, consistency and integrity across reporting processes. Data Analysis & Commercial Insight Conduct detailed analysis and statistical modelling to identify patterns, trends and anomalies across the business, including but not limited to: Category … performance and trend analysis Promotional and campaign effectiveness Seasonal trend analysis and forecasting Claims trend identification and recommendation of corrective actions Budget modelling and forecasting support Proactive sales performance analysis Private Label performance analysis by market to identify growth opportunities Identification of new business and market ...

role is very hands-on and you'll support as a senior contributor role for a project, focusing on: \n \n Data analysis and reporting: Conducting in-depth data analysis, generating reports, and providing actionable insights for client projects. \n Data and BI visualisation: Producing BI dashboards using … analytical solutions, and presenting findings in a clear, actionable manner. \n Mentoring junior analysts, leading data-focused projects, and setting best practices in data analysis \n\n \n Technical Skills \n \n \n Application of analytical techniques: Proficiency in applying various analytical methods such as statistical analysis ...

role is very hands-on and you'll support as a senior contributor role for a project, focusing on: \n \n Data analysis and reporting: Conducting in-depth data analysis, generating reports, and providing actionable insights for client projects. \n Data and BI visualisation: Producing BI dashboards using … analytical solutions, and presenting findings in a clear, actionable manner. \n Mentoring junior analysts, leading data-focused projects, and setting best practices in data analysis \n\n \n Technical Skills \n \n \n Application of analytical techniques: Proficiency in applying various analytical methods such as statistical analysis ...

deploy advanced analytics, machine learning models, and data products Lead and contribute to high-impact data science projects across the organisation Translate complex analysis into clear, actionable insights and recommendations Work closely with data engineers to ensure robust, scalable data pipelines and solutions Provide technical leadership , setting standards … analytics Contribute to best practice in data science, governance, and ethical use of data Tech & Tools You'll typically work with: Python and advanced statistical tools Machine Learning and AI frameworks Cloud-based data platforms (e.g. Azure ecosystems) Data visualisation and reporting tools Data engineering and transformation pipelines What ...

clients.\ N \nThe role is very hands-on and you'll support as a senior contributor role for a project, focusing on:\ N\nData analysis and reporting: Conducting in-depth data analysis, generating reports, and providing actionable insights for client projects.\ NData and BI visualisation: Producing BI dashboards … into analytical solutions, and presenting findings in a clear, actionable manner.\ NMentoring junior analysts, leading data-focused projects, and setting best practices in data analysis \ N\n \nTechnical Skills\ N \n\nApplication of analytical techniques: Proficiency in applying various analytical methods such as statistical analysis, data mining ...

identify patterns, trends, and actionable insights. Support the development and evaluation of machine-learning models. Assist with data cleaning, preparation, and feature engineering. Conduct statistical analysis to support business decisions. Build reports, dashboards, and visualisations for internal stakeholders. Collaborate with technical and non-technical teams to translate data … above ideally from a Redbrick university (e.g., Russell Group or equivalent) Strong programming skills in Python and R. Solid understanding of statistical analysis and quantitative methods. Foundational knowledge of machine learning techniques (classification, regression, clustering, etc.). Strong analytical mindset and attention to detail. Ability to present findings ...

begin a career in data and business intelligence. Working within the Service Performance Team, you'll gain hands-on experience across the full data analysis lifecycle, from collecting and validating data through to creating dashboards, reports, and insights that support decision-making. You'll develop practical skills in data … analytics, data quality, stakeholder communication, and Power BI development. Key Responsibilities Data Analysis & Reporting Gather, analyse, and interpret data from a range of sources Produce reports, statistical analysis, and performance insights Identify trends, patterns, and opportunities to improve service performance Support the production of forecasts and performance ...

driving data-backed decision-making in a high-impact environment. Key Responsibilities Collect, clean, and analyze structured and unstructured data Perform exploratory data analysis (EDA) to identify trends and patterns Build and maintain dashboards and reports for business insights Write efficient SQL queries to extract and manipulate data Assist … Preferred Qualifications Experience with real-world datasets or analytics projects Knowledge of business metrics and performance tracking Exposure to A/B testing or statistical analysis Familiarity with startup or fast-paced environments Key Skills Data Analysis & Interpretation SQL & Data Querying Dashboarding & Visualization Critical Thinking Communication & Storytelling ...

Coaching Support Data Analytics and Data Science Artificial Intelligence and Machine Learning Python Programming SQL and Database Technologies Power BI, Tableau and Data Visualisation Statistical Analysis and Modelling Business Intelligence Exploratory Data Analysis (EDA) Predictive Analytics Machine Learning Algorithms Natural Language Processing (NLP) Deep Learning Fundamentals Ethical ...

driving data-backed decision-making in a high-impact environment. Key Responsibilities Collect, clean, and analyze structured and unstructured data Perform exploratory data analysis (EDA) to identify trends and patterns Build and maintain dashboards and reports for business insights Write efficient SQL queries to extract and manipulate data Assist … Preferred Qualifications Experience with real-world datasets or analytics projects Knowledge of business metrics and performance tracking Exposure to A/B testing or statistical analysis Familiarity with startup or fast-paced environments Key Skills Data Analysis & Interpretation SQL & Data Querying Dashboarding & Visualization Critical Thinking Communication & Storytelling ...

Need A naturally curious mindset, with a genuine interest in exploring data and asking why Stakeholder management and communication skills, including explaining analysis clearly to different audiences SQL and data manipulation skills Python programming capability for analytics, automation and modelling Experience analysing large-scale survey, consumer or behavioural datasets … Statistical analysis and forecasting techniques Data modelling and analytical framework development Ability to identify trends, drivers and commercial opportunities from data Experience translating complex analysis into clear business recommendations Experience creating dashboards and data visualisations that effectively communicate insights Understanding of predictive analytics, machine learning ...

Surrey's equipment offer is continuously optimised to meet the needs of our most vulnerable residents. Enhancing efficiency and resource allocation: Through robust data analysis, you will support the streamlining of operations and ensure resources are targeted where they are needed most. This will enable more efficient … behaviours: Strong analytical skills: Proven ability to analyse complex data sets, identify trends, and draw actionable insights. Experience with data visualisation tools and statistical analysis software is essential. Technical proficiency: Proficiency in data visualisation software Tableau, knowledge of programming languages such as SQL, Python, or R, and familiarity ...

business value through data. You'll ideally have experience with: Python, SQL and either R or similar analytical languages. Machine Learning, predictive modelling and statistical analysis. Databricks or comparable cloud-based analytics platforms. Tableau, Power BI or other data visualisation tools. Working with cloud data platforms, data lakes ...

performance or service engineering or a related field. Essential skills Python expertise - able to design, test, and optimise robust scripts and frameworks for data analysis, automation, and quality assurance. Strong proficiency in SQL for querying, manipulation, and quality assurance. Solid understanding of IT quality principles, testing methodologies, and defect … with minimum supervision. Strong IT user & configuration skills (to include applications such as SQL, Power BI, Matlab, Phyton, MS Azure, Databricks) Experience Knowledge of statistical analysis and data modelling techniques. Experience with data quality monitoring tools or test automation frameworks. Experience with MATLAB or similar engineering analysis ...

delivering advanced analytics and data science solutions, helping to turn complex datasets into actionable insights. Key responsibilities include: Developing and deploying predictive models and statistical analysis Working with large, complex datasets to identify trends and insights Collaborating with data engineers and stakeholders to shape data solutions Supporting decision … experience as a Data Scientist in complex or regulated environments Strong skills in Python (or similar) and data science libraries Experience with machine learning, statistical modelling and data analysis Ability to communicate technical findings to non-technical stakeholders Experience in public sector or government environments is highly desirable ...

delivering advanced analytics and data science solutions, helping to turn complex datasets into actionable insights. Key responsibilities include: Developing and deploying predictive models and statistical analysis Working with large, complex datasets to identify trends and insights Collaborating with data engineers and stakeholders to shape data solutions Supporting decision … experience as a Data Scientist in complex or regulated environments Strong skills in Python (or similar) and data science libraries Experience with machine learning, statistical modelling and data analysis Ability to communicate technical findings to non-technical stakeholders Experience in public sector or government environments is highly desirable ...

Partner with stakeholders to understand reporting requirements and deliver effective solutions Support senior management with data-driven insights to inform decision-making Conduct statistical analysis to support business initiatives Lead knowledge-sharing sessions on reporting tools and outputs Support ad hoc data requests and continuous improvement initiatives Contribute ...

NJob Description\ NAs a Lead Data Scientist, you will spearhead the development of advanced probabilistic models that power real-time betting markets.\ NThe 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,\ NProven ability to design and implement complex machine learning solutions and guiding best practice.\ NDeep understanding of statistical analysis and probability theory.\ NDemonstrable experience overseeing the implementation of highly accurate, computationally efficient, and scalable models for large-scale production environments.\ NTrack ...

operational deployment Requirements: • Degree in Computer Science, Mathematics, Engineering or a related field • At least 4 years of experience in a data science or statistical role with a track record of delivering impactful solutions • Proven experience developing and deploying machine learning models and statistical analysis • Strong proficiency … distributed computing tools such as Azure Synapse, Snowflake, or Databricks • Ability to work with large datasets and complex data structures • Strong background in applying statistical and machine learning techniques to solve real business problems • Clear communication skills, including the ability to explain technical concepts to non-technical stakeholders ...