1 to 25 of 38 Permanent Statistical Analysis Jobs in England

Senior Statistical Analyst London £38,429 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 … 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. ...

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 ...

line with GCP, MHRA, and UK data protection requirements. Provide specialist advice to researchers on data collection, management, and interpretation, supporting study design, statistical analysis, and reporting for sponsors, data monitoring committees, and research networks. Ensure data integrity, quality assurance, and regulatory compliance by maintaining Trial Master File … MHRA requirements). Postgraduate qualification in a relevant field (e.g. clinical research, biostatistics, or data science) or equivalent specialist knowledge gained through experience, including statistical analysis and preparation of analysis-ready datasets (e.g. using R) Skills and Ability Essential Substantial analytical skills, able to demonstrate success across ...

computationally intensive and cannot be solved manually within reasonable timeframes (days/weeks). Develop problems requiring non-trivial reasoning chains in data processing, statistical analysis, feature engineering, predictive modeling, and insight extraction. Create deterministic problems with reproducible answers: avoid stochastic elements or require fixed random seeds … modeling → validation → deployment considerations). Incorporate big data processing scenarios requiring scalable computational approaches. Verify solutions using Python with standard data science libraries and statistical methods. Document problem statements clearly with realistic business contexts and provide verified correct answers. How to get started Simply apply to this post, qualify ...

computationally intensive and cannot be solved manually within reasonable timeframes (days/weeks). Develop problems requiring non-trivial reasoning chains in data processing, statistical analysis, feature engineering, predictive modeling, and insight extraction. Create deterministic problems with reproducible answers: avoid stochastic elements or require fixed random seeds … modeling → validation → deployment considerations). Incorporate big data processing scenarios requiring scalable computational approaches. Verify solutions using Python with standard data science libraries and statistical methods. Document problem statements clearly with realistic business contexts and provide verified correct answers. Compensation On this project, contributors can earn ...

computationally intensive and cannot be solved manually within reasonable timeframes (days/weeks). Develop problems requiring non-trivial reasoning chains in data processing, statistical analysis, feature engineering, predictive modeling, and insight extraction. Create deterministic problems with reproducible answers: avoid stochastic elements or require fixed random seeds … modeling → validation → deployment considerations). Incorporate big data processing scenarios requiring scalable computational approaches. Verify solutions using Python with standard data science libraries and statistical methods. Document problem statements clearly with realistic business contexts and provide verified correct answers. Compensation On this project, contributors can earn ...

searching for a highly capable machine learning engineer to optimize our machine learning systems. You will be evaluating existing machine learning (ML) processes, performing statistical analysis to resolve data set problems, and enhancing the accuracy of our AI software's predictive automation capabilities. As a machine learning engineer … optimizing existing machine learning libraries and frameworks. Developing ML algorithms to analyze huge volumes of historical data to make predictions. Stress testing, performing statistical analysis, and interpreting test results for all market conditions. Documenting machine learning processes. Keeping abreast of developments in machine learning. Requirements Bachelor's degree ...

data science and analytics solutions to solve complex business problems * Building internal tools and contributing to the development of data and AI products * Conducting statistical analysis and regression modelling to generate insights * Creating dashboards and visual outputs for business stakeholders * Supporting AI workflow development, including exposure to large … Proficiency in Python, including libraries such as Pandas, NumPy and scikit learn * Strong SQL skills and experience working with structured data * Solid understanding of statistical analysis and regression techniques * Exposure to cloud platforms, ideally Azure, and an understanding of deployment processes * Experience working in cross functional teams, ideally ...

looking for an enthusiastic and organised Information Officer to join the Business Intelligence team. Ideal candidates will have some experience of data or statistical analysis in either a professional or an educational setting but will also have some experience of customer service or working to customer requirements. … expected to attend office days in person in Leeds as required. Main duties of the job The Business Intelligence team provides a reporting and analysis service to the clinical services and management of Leeds and York Partnership NHS Foundation. Key responsibilities for the Information Officer include report and dashboard ...

make a significant difference within a well-established and rapidly growing organisation. Your day to day will consist of...... Proactively and collaboratively develop Analysis and Insight Statistical analysis and modelling Report making to help deliver optimal management decisions Identify, quantify and prioritise opportunities to enhance operational efficiency … world-class operation to drive continuous improvement. Apply analytical and technical ability to ensure the team delivers the highest standards of analysis and reporting to key stake holders What we want from you...... Minimum 2:1 within a numeric based degree i.e. Maths, Economics, Physics etc. Proficient ...

required to manage services effectively and meet national and local standards. You will manage analysts and work closely with EPR workstreams to provide robust analysis, insight and reporting that supports decision making, performance monitoring and service improvement across the organisation. You will produce statutory, operational and corporate reporting … national targets and contractual requirements Developing dashboards, automated reporting and business intelligence outputs to support EPR delivery Working closely with EPR workstreams to provide analysis and insight required Ensuring data is interpreted and communicated clearly to clinicians, managers and stakeholders Monitoring delivery against EPR plans and supporting readiness ...

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 ...

growth teams, with analytics playing a critical role in shaping strategy. The Role Partner closely with growth and marketing teams to support performance analysis and commercial decision making Analyse marketing spend across digital channels including paid social and search, assessing efficiency and ROI Own attribution analysis to understand … financial products and recommend alternative pathways for rejected users Build models to answer commercial questions such as incrementality, uplift and new channel effectiveness Apply statistical techniques to support experimentation, testing and investment decisions Work closely with senior stakeholders including the Head of Growth and CMO to translate insight into ...

tactical input, ensuring departmental managers remain fully aligned with agreed direction and objectives. Provide strategic leadership for the F1 Timekeeping, Data Delivery, and Data Analysis team, driving operational excellence, continuous improvement, and high-quality data products, content, and client services. To work with the Director of Racing Systems … headcount and budget. This should be done in line with the overarching strategic company goals. To take an active role in leading the Data Analysis & Content subgroups and Timing, developing relevant processes and methodologies whilst communicating effectively with stakeholders. Manage the development of AI-based diagnostic tools jointly with ...

data into actionable insights and strategic recommendations. Collaborate with cross‐functional teams including consultants, engineers, and client stakeholders. Design and implement machine learning models, statistical analyses, and AI solutions tailored to client needs. Lead business development through proposal writing, solutioning, and client presentations. Mentor and coach junior data scientists ...

data into actionable insights and strategic recommendations. Collaborate with cross‐functional teams including consultants, engineers, and client stakeholders. Design and implement machine learning models, statistical analyses, and AI solutions tailored to client needs. Lead business development through proposal writing, solutioning, and client presentations. Mentor and coach junior data scientists ...

looking for: Experience in a product or digital analytics environment Strong SQL and Python or R Hands-on experience with experimentation and statistical analysis Experience with BI tools (Looker, Tableau, etc.) Confident communicator who can influence decision-making BENEFITS The successful candidate will receive a competitive salary alongside ...

with generative AI, large language models (LLMs), and retrieval-augmented generation (RAG). Technical Skills Python SQL Machine Learning MLOps Cloud Computing Data Engineering Statistical Analysis Core Competencies Cross-functional collaboration Critical thinking Communication skills Project management Continuous learning mindset We welcome applications from motivated individuals ...

organisation's Marketing Mix Modelling (MMM) capability, including model development, calibration, and translation into actionable budget allocation recommendations for senior leadership Develop sophisticated statistical models such as LTV prediction, churn scoring, and audience segmentation that influence strategic decisions across Marketing, Finance, and Product Architect and govern the marketing data … building and deploying Marketing Mix Models (MMM) and incrementality testing frameworks (geo‐based, holdout, synthetic control) in a real business context Proficiency in applied statistical modelling, such as LTV modelling, predictive scoring and causal inference techniques Advanced Python or R for statistical analysis, modelling, and automation, with ...

least one of the following:* + Modelling, Simulation & Digital Twins + Optimisation + Machine Learning, Data Science and applied AI techniques* Solid grasp of statistical analysis, experimental design, and data visualisation.* Experience applying AI or advanced analytics in operational or asset‐intensive environments.* Ability to communicate complex technical ...

innovation. • Support the implementation of Oracle ERP and WMS, contributing to data migration, reporting design, data structures, and system integrations. • Develop predictive analytics and statistical models to optimise business processes and improve operational efficiency. • Work alongside software developers to create intelligent, data-driven applications and systems. • Maintain and improve … Intelligence, or related role. • Degree qualified in Data Science, Computer Science, Mathematics, Statistics, Engineering, or a related discipline. • Strong proficiency in Python for data analysis, machine learning, and automation. • Advanced SQL skills, including complex joins, subqueries, window functions, and query optimisation. • Experience developing dashboards and visualisations using tools such ...

innovation. • Support the implementation of Oracle ERP and WMS, contributing to data migration, reporting design, data structures, and system integrations. • Develop predictive analytics and statistical models to optimise business processes and improve operational efficiency. • Work alongside software developers to create intelligent, data-driven applications and systems. • Maintain and improve … Intelligence, or related role. • Degree qualified in Data Science, Computer Science, Mathematics, Statistics, Engineering, or a related discipline. • Strong proficiency in Python for data analysis, machine learning, and automation. • Advanced SQL skills, including complex joins, subqueries, window functions, and query optimisation. • Experience developing dashboards and visualisations using tools such ...

will participate in projects with data scientists & solutions consultants on analytic client engagements involving descriptive, predictive, and prescriptive analysis through the consumer lending portfolio lifecycle, leveraging a variety of techniques (e.g., segmentation, logistic regression, etc). You will deliver analytic insights and recommendations in succinct and compelling presentations … internal and external customers. You will design and write programs for data extraction, segmentation and statistical analysis on large population datasets using languages such as R, Python, and Spark. You will foster a high-performance culture and cultivate an environment that promotes excellence and reflects the TransUnion brand. ...

Details A global Ecommerce beauty brand. Description Analyse user behavior, engagement, retention, and conversion trends Support A/B testing from setup to results analysis Build dashboards and automate reporting using BI tools Partner with Product and cross-functional teams to define and track KPIs Investigate product performance issues … Strong SQL skills and experience working with large datasets Experience with tools like Looker, Tableau, Mixpanel, Amplitude, or GA Solid understanding of experimentation and statistical analysis Python or R experience preferred Strong communication skills with a business-first mindset Curious, proactive, and comfortable solving complex problems Job Offer ...

talent executive leadership. The person will have expertise in data science, with a strong focus on techniques related to text analytics, clustering, time series analysis, multivariate regression, basic predictive modelling, and significance testing. Essential Functions: Utilize data science to conduct research on business topics relevant for digital insights team. … tools and methodologies. Provide subject matter expertise on key domain‐related topics such as advanced excel, SQL, machine learning, natural language processing, text sentiment analysis, mathematics, statistics etc. Enable the best‐fit implementation approach leveraging the core and evolving skills in the domain of data analytics, e.g., machine learning ...