1 to 25 of 45 Remote Permanent Statistical Analysis Jobs

the London office. In this role, you will be at the forefront of our data-driven initiatives, training machine learning and artificial intelligence models as well as leveraging advanced statistical techniques to uncover trends and patterns that inform our business strategy. Your insights will play a key role in shaping decisions across various business areas, including marketing, sales, claims … with emerging trends in data science and the pet insurance industry. You'll have the opportunity to evaluate and implement new methodologies, tools, and frameworks to keep our data analysis and modelling processes at the cutting edge. Your responsibilities Manage data science projects across the business Leverage advanced statistical techniques and machine learning/AI models to identify … data visualisation, reports, and presentations. Stay updated on emerging trends and technologies in data science and the pet insurance industry, implementing new methodologies, tools, and frameworks to enhance data analysis and modelling processes. Perform statistical analysis, machine learning, and data mining to support various business needs. Participate in Agile or Kanban methodologies, contributing to a collaborative and More ❯

model performance and ensure accuracy. Extract and prepare data for model training and analysis. Collect, clean, and analyze data for program complexity estimation and forecasting. Develop and implement data analysis methods for determining program complexity drivers. Conduct meta-analysis studies to estimate actual work effort based on program complexity. Collaborate with cross-functional teams to ensure project success. … Strong analytical and problem-solving skills to understand complex data sets and derive actionable insights. PREFERRED EXPERIENCE: 3+ years of combined experience in machine learning model development, data analysis, and statistical modeling. Strong understanding of machine learning algorithms, model evaluation metrics, optimization techniques, and statistical analysis techniques. Demonstrated ability to implement, validate, and improve supervised and … machine learning frameworks such as TensorFlow, PyTorch, scikit-learn, or related frameworks. Experience in evaluation metrics, model selection, and validation techniques such as cross-validation, bootstrapping, and assessing the statistical significance of model improvements. Excellent knowledge of data analysis, visualization, and preprocessing techniques. Familiarity with tools such as Pandas, NumPy, and Matplotlib. Experience deploying Classical and Modern Time More ❯

be involved in full spectrum analytic technical support to mission operations and the intelligence lifecycle: requirements collection and refinement, translating user requirements into technical requirements, environment configuration, exploratory data analysis, model development, selection, and evaluation, identifying insights from analytic products and then communicating those results to a nontechnical audience. To that end, you will work with cross-functional teams … analytic products should clearly and succinctly distill trends, illuminate latent patterns, and spotlight insights in an easy-to-consume manner for customers to take action on. Responsibilities: Establish advanced analysis and data visualization methodologies, models, and tools to derive intelligence outcomes and impacts. Design and deliver infographics across a range of media platforms. Identify and process raw data, trends … analysis, and assessments in order to aggregate disparate information, leveraging both analytic and visualization tools. Leverage knowledge of databases and methodologies to determine appropriate sources, determine indicators and relationships, and generate intelligence support packages. Provide tailored communications to innovation stakeholders in meetings, demos, and other customer engagements, as well as support analytic innovation, development, and data analytics activities to 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 ❯

solutions, with the ability to design and implement cutting-edge analytics capabilities. Responsibilities Design and implement data science frameworks across multi-cloud environments Develop machine learning models for data analysis and automation, including building RAG models for AWS Bedrock Automate analytic solutions and build scalable analytics capabilities Collaborate with the Mission team to gather requirements across various teams Assess … related field, plus additional 3+ years' experience in a complimentary function Strong programming skills in Python, SCALA, and/or UNIX shell scripting Expertise in machine learning techniques and statistical analysis Proficiency in SQL and NoSQL databases Experience with big data platforms such as Hadoop, Spark, and Kafka Cloud computing expertise across AWS, Azure, and other Experience in More ❯

Parties/Customer) to improve performance, budget efficiency, and ROI. Track key customer KPIs and support acquisition and retention strategies through A/B testing and data insights. Conduct statistical analysis to identify trends, patterns, and outliers that inform strategic decisions. Present complex data in clear, actionable formats for various stakeholders. Build and maintain dashboards and reports using … technical insights to non-technical audiences effectively (Essential) Detail-oriented and process-driven with a focus on continuous improvement (Essential) Comfortable working in a fast-paced, evolving environment (Essential) Statistical Methods Knowledge (Desirable) Experience using Salesforce and data visualisation tools (Desirable) Job Offer Competitive salary range of £35,000 to £45,,000 per annum. Permanent position with opportunities for More ❯

of a Senior Performance Analyst and work within a multi-disciplinary team. Key Responsibilities: Lead the development of performance measurement frameworks and meaningful KPIs. Apply quantitative and qualitative data analysis to drive service improvement. Work closely with stakeholders, user researchers, and service teams to deliver actionable insights. Communicate analysis clearly using appropriate formats and tailored messaging for varied … cleansing of data. Use Power BI, Google Analytics, Looker Studio, and Azure Data Services to build dashboards and performance reports. Leverage BigQuery and Google Tag Manager for advanced data analysis, tracking, and reporting. Ensure compliance with digital service standards and accessibility principles. Essential Skills and Experience: Demonstrated 5+ years of experience working within performance analysis or similar roles. … Strong technical capability in: Microsoft Power BI Microsoft Azure Data Services Google Analytics, Google Tag Manager, BigQuery, Looker Studio Statistical analysis, hypothesis testing, and significance evaluation Experience in designing and implementing performance frameworks and KPIs. Skilled in user-centred analysis, translating user research and behaviour into strategic insight. Excellent communication skills with the ability to present complex More ❯

of a Senior Performance Analyst and work within a multi-disciplinary team. Key Responsibilities: Lead the development of performance measurement frameworks and meaningful KPIs. Apply quantitative and qualitative data analysis to drive service improvement. Work closely with stakeholders, user researchers, and service teams to deliver actionable insights. Communicate analysis clearly using appropriate formats and tailored messaging for varied … cleansing of data. Use Power BI, Google Analytics, Looker Studio, and Azure Data Services to build dashboards and performance reports. Leverage BigQuery and Google Tag Manager for advanced data analysis, tracking, and reporting. Ensure compliance with digital service standards and accessibility principles. Essential Skills and Experience: Demonstrated 5+ years of experience working within performance analysis or similar roles. … Strong technical capability in: Microsoft Power BI Microsoft Azure Data Services Google Analytics, Google Tag Manager, BigQuery, Looker Studio Statistical analysis, hypothesis testing, and significance evaluation Experience in designing and implementing performance frameworks and KPIs. Skilled in user-centred analysis, translating user research and behaviour into strategic insight. Excellent communication skills with the ability to present complex More ❯

of a Senior Performance Analyst and work within a multi-disciplinary team. Key Responsibilities: Lead the development of performance measurement frameworks and meaningful KPIs. Apply quantitative and qualitative data analysis to drive service improvement. Work closely with stakeholders, user researchers, and service teams to deliver actionable insights. Communicate analysis clearly using appropriate formats and tailored messaging for varied … cleansing of data. Use Power BI, Google Analytics, Looker Studio, and Azure Data Services to build dashboards and performance reports. Leverage BigQuery and Google Tag Manager for advanced data analysis, tracking, and reporting. Ensure compliance with digital service standards and accessibility principles. Essential Skills and Experience: Demonstrated 5+ years of experience working within performance analysis or similar roles. … Strong technical capability in: Microsoft Power BI Microsoft Azure Data Services Google Analytics, Google Tag Manager, BigQuery, Looker Studio Statistical analysis, hypothesis testing, and significance evaluation Experience in designing and implementing performance frameworks and KPIs. Skilled in user-centred analysis, translating user research and behaviour into strategic insight. Excellent communication skills with the ability to present complex More ❯

warehousing and lakehouse design ETL/ELT pipelines SQL, Python for data manipulation and machine learning Big Data frameworks (e.g., Hadoop, Spark) Data visualisation (e.g., Power BI) Understanding of statistical analysis and predictive modelling Experience: 5+ years working with Microsoft data platforms 5+ years in a customer-facing consulting or professional services role Strong understanding of data warehousing More ❯

warehousing and lakehouse design ETL/ELT pipelines SQL, Python for data manipulation and machine learning Big Data frameworks (e.g., Hadoop, Spark) Data visualisation (e.g., Power BI) Understanding of statistical analysis and predictive modelling Experience: 5+ years working with Microsoft data platforms 5+ years in a customer-facing consulting or professional services role Strong understanding of data warehousing More ❯

warehousing and lakehouse design ETL/ELT pipelines SQL, Python for data manipulation and machine learning Big Data frameworks (e.g., Hadoop, Spark) Data visualisation (e.g., Power BI) Understanding of statistical analysis and predictive modelling Experience: 5+ years working with Microsoft data platforms 5+ years in a customer-facing consulting or professional services role Strong understanding of data warehousing More ❯

and affordability. These models are essential as the business undergoes transformation to become data driven and make evidence-based decisions. Provide insight into customer behaviour, choices and preferences using statistical methods such as regression and hypothesis testing to analyse data from our customer database. Building dashboards that is able to tell a story and provide the business with key … insights on customer behaviour. Analyse customer research data to gain insights on customer behaviour using Natural Language Processing (NLP) techniques such as sentiment analysis and topic modelling. Provide education to both internal and external stakeholders about the modelling process, including the assumptions and methodology used. This will ensure that they fully understand and support the process. Supporting the team … of the business. Qualifications About you The ideal person will have. Strong experience in building Machine Learning models and applying Data Science techniques using python. Strong data manipulation and statistical analysis experience gained through experience working in various industries. Be able to provide clear and tangible examples of time when your insights and analysis have made an More ❯

and affordability. These models are essential as the business undergoes transformation to become data driven and make evidence-based decisions. Provide insight into customer behaviour, choices and preferences using statistical methods such as regression and hypothesis testing to analyse data from our customer database. Building dashboards that is able to tell a story and provide the business with key … insights on customer behaviour. Analyse customer research data to gain insights on customer behaviour using Natural Language Processing (NLP) techniques such as sentiment analysis and topic modelling. Provide education to both internal and external stakeholders about the modelling process, including the assumptions and methodology used. This will ensure that they fully understand and support the process. Supporting the team … of the business. Qualifications About you The ideal person will have. Strong experience in building Machine Learning models and applying Data Science techniques using python. Strong data manipulation and statistical analysis experience gained through experience working in various industries. Be able to provide clear and tangible examples of time when your insights and analysis have made an More ❯

global HR business processes, including strategy development, service delivery, human capital management technologies, with ability to translate business needs into technology requirements Advanced expertise in people analytics, data visualization, statistical analysis, and predictive modelling for workforce insights, with experience leading HR data analytics teams and building capabilities within HR functions Experience working with enterprise HRIS platforms (Workday, SAP 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 ❯

work in virtual, multi-national, multi-cultural, cross-company and cross-functional teams Familiar with financial market products and solid knowledge of the insurance/reinsurance industries Knowledge in statistical analysis and experience in processing large scale data sets Additional skills which are a plus: Working experience in various Cloud environments (e.g. AWS or Azure) Familiar with weather … and energy commodity markets, power and gas trading and data analysis Our company has a hybrid work model where the expectation is that you will be in the office three days per week. The base salary range for this position is between GBP 86,000 and GBP 128,000 (for a full-time role). The specific salary offered 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 … Scientist, your background will include: 3+ yearsindustry experience in aData Sciencerole and a strong academic background Python Data Science Stack:Advanced proficiency inPython, includingpandas,NumPy,scikit-learn, andJupyter 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 … with football datasets (event, tracking, etc.) and visualization libraries likemplsoccer. Advanced MLOps & Modelling:Deeper experience with theVertex AIlifecycle (especiallyPipelines) 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 ❯

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 … Scientist, your background will include: 3+ yearsindustry experience in aData Sciencerole and a strong academic background Python Data Science Stack:Advanced proficiency inPython, includingpandas,NumPy,scikit-learn, andJupyter 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 … with football datasets (event, tracking, etc.) and visualization libraries likemplsoccer. Advanced MLOps & Modelling:Deeper experience with theVertex AIlifecycle (especiallyPipelines) 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 ❯

Business Intelligence Design, develop, and maintain dashboards and self-service reports to empower procurement teams with actionable insights. Manage data from multiple systems, ensuring integrity, consistency, and accessibility. Provide statistical analysis, modelling, and KPI reporting (weekly, monthly, and quarterly) to support decision-making. Drive the development of a data warehouse and ensure it remains accurate and up to More ❯

engineering, model training, deployment, and monitoring. Deep understanding of MLOps best practices, including CI/CD for ML, model versioning, experiment tracking, and reproducibility. Experience with tools used for statistical analysis, predictive modeling, and AI/ML development. Familiarity with data governance, security best practices, and compliance regulations. A track record of driving strategic initiatives and engineering standardization More ❯

in the context of a Cost management system configuration; database management, scripting, system integration, reporting tools, cloud computing, networking, system administration, security, performance tuning, and information retention. Perform routine analysis, and control activities, as directed Support the implementation of cost monitoring and control standards, techniques, systems, and reports Assist with baseline allocation and reporting/cost control for specific … Coordinate the development and accuracy of cost reports Verify consistency with previous reports to ensure compatibility and consistency Collect and classify cost data Prepare cost studies using historical data, statistical analysis, and cost and quantity comparisons Knowledge, Skills, Qualifications, Experience: Essential: All items detailed above. Degree or equivalent qualification in business analysis, accounting, finance, construction, engineering or … usage, security or other areas Experience working with other team such as, Finance, Data management and IT Highly proficient in Microsoft Office tools particularly Excel to aid in system analysis Experience of working within multiple Project Controls Functions of: cost control, estimating, scheduling, change management and risk management. User of a range of reporting and analytics software and project More ❯

in the context of a Cost management system configuration; database management, scripting, system integration, reporting tools, cloud computing, networking, system administration, security, performance tuning, and information retention. Perform routine analysis, and control activities, as directed Support the implementation of cost monitoring and control standards, techniques, systems, and reports Assist with baseline allocation and reporting/cost control for specific … Coordinate the development and accuracy of cost reports Verify consistency with previous reports to ensure compatibility and consistency Collect and classify cost data Prepare cost studies using historical data, statistical analysis, and cost and quantity comparisons Knowledge, Skills, Qualifications, Experience: Essential: All items detailed above. Degree or equivalent qualification in business analysis, accounting, finance, construction, engineering or … usage, security or other areas Experience working with other team such as, Finance, Data management and IT Highly proficient in Microsoft Office tools particularly Excel to aid in system analysis Experience of working within multiple Project Controls Functions of: cost control, estimating, scheduling, change management and risk management. User of a range of reporting and analytics software and project More ❯

in the context of a Cost management system configuration; database management, scripting, system integration, reporting tools, cloud computing, networking, system administration, security, performance tuning, and information retention. Perform routine analysis, and control activities, as directed Support the implementation of cost monitoring and control standards, techniques, systems, and reports Assist with baseline allocation and reporting/cost control for specific … Coordinate the development and accuracy of cost reports Verify consistency with previous reports to ensure compatibility and consistency Collect and classify cost data Prepare cost studies using historical data, statistical analysis, and cost and quantity comparisons Knowledge, Skills, Qualifications, Experience: Essential: All items detailed above. Degree or equivalent qualification in business analysis, accounting, finance, construction, engineering or … usage, security or other areas Experience working with other team such as, Finance, Data management and IT Highly proficient in Microsoft Office tools particularly Excel to aid in system analysis Experience of working within multiple Project Controls Functions of: cost control, estimating, scheduling, change management and risk management. User of a range of reporting and analytics software and project More ❯