1 to 25 of 230 Permanent Statistical Analysis Jobs in the UK excluding London

Data Unit (CODU) as a Data Scientist, working with the team and colleagues across the Trust to improve patient outcomes through the robust selection, analysis, and visualisation of data to support clinical and operational decision making. In this role you will be involved in supporting data quality improvement, utilising … will not be offered for the second round. Main duties of the job 1. To support clinicians, researchers and non-clinical staff in performing statistical analysis and producing data models 2. To use data and technical analysis to extract insight from data for clinical and operational purposes ...

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 … data science and analytics. Skills & Qualifications: Degree educated with a 2:1 or above. 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 ...

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 ...

Exposure to Microsoft Fabric implementations, including Azure Data Factory, SSIS, or SSRS Advanced Excel skills, including pivot tables, complex formulas, and macros Familiarity with statistical analysis tools such as Python, R, or SAS is advantageous Experience with Power Platform tools, including PowerApps, Power Automate, and DAX/ ...

Working with stakeholders across various teams Delivering insights on customers including demographic, LTV and engagement Regularly conducting a/b tests and other experiments Analysis incl. statistical analysis with tools such as Python/R desirable Development of some reports/dashboards in Tableau YOUR SKILLS ...

Responsibilities Analyse manufacturing data to identify yield loss mechanisms and drive corrective actions Support process integration across multiple semiconductor process steps Lead root cause analysis using statistical and problem-solving methodologies (e.g. SPC, DOE, 8D) Drive yield improvement projects from investigation through to implementation Support new product introduction … Experience in a semiconductor manufacturing or high and medium volume manufacturing environment Strong understanding of semiconductor processes and process integration Proven experience with yield analysis and data-driven problem solving Familiarity with statistical analysis tools and manufacturing data systems What They Offer Competitive salary, relocation and benefits ...

ensure data pipelines are robust and accurate and you'll have the opportunity to collaborate directly with C-suite executives on ad-hoc analysis and strategic projects. What You'll Be Doing: Collecting, cleaning and analysing large datasets using SQL, R, Python and VBA Designing and delivering interactive dashboards … visualisations with Tableau and Power BI that are used across the organisation Performing business analysis to identify patterns, trends and optimisation opportunities Collaborating closely with a Data Engineer to ensure clean reliable data for reporting and analytics Providing ad-hoc insights and analysis directly to senior stakeholders including ...

using Power BI and Microsoft Fabric analytics tools. Write DAX calculations for KPIs, time intelligence, advanced metrics, and custom business logic. Conduct exploratory and statistical analysis on structured and unstructured datasets to identify trends, patterns, and opportunities. Partner with Data Engineers to ensure Bronze and Silver layers … insights by preparing trustworthy datasets and metadata. Ensure all analytical solutions adhere to data governance, security, and compliance standards. Requirements: Proven expertise in data analysis, business intelligence, or analytics roles. Experience working within a Medallion Architecture, ideally with direct responsibility for Gold layer curation. Expertise in Power BI, including ...

implement/deliver on time to quality standards and, critically, build new efficient processes at pace Comprehensive knowledge, training and experience in data analysis, reporting and good awareness of data warehousing, physical and logical data modelling, statistical analysis tools, data governance and master data management Commercially aware ...

implement/deliver on time to quality standards and, critically, build new efficient processes at pace Comprehensive knowledge, training and experience in data analysis, reporting and good awareness of data warehousing, physical and logical data modelling, statistical analysis tools, data governance and master data management Commercially aware ...

managing stakeholder expectations, and significant subject-specific knowledge of App Marketing. We are looking for a proactive individual with strong technical skills in data analysis, experience of multi-channel marketing mix and a passion for staying abreast of industry trends. Key Responsibilities of the Mobile App Marketing Data Analyst … future targeting of lookalikes at scale ideally Managing relationships with multiple internal stakeholders based all over the world. Clean, transform, and prepare data for analysis to support the above Identify opportunities for process improvement or increased automation and efficiency through advanced technical solutions Provide training and support ...

interview you will be asked which post you are interested in, or your order of preference if both. PenGU Bioinformaticsis thesoftware development and analysis supportarm of theMicrobiologyDivision. Itsupports genomic diagnostics, bespoke software development, genomicsurveillance of communicable disease and infections in Wales,andprovides support forHealth Protection Teamsin outbreak investigation … scientific journals. Provide support and training to Public Health WalesMicrobiologydata analysts, asrequired, andassistin the production of training materials. Developsoftware andanalysis routinesand adviseon efficient analysis of large datasets, asrequired. Provide quality assurance for analyses carried out by, and reports prepared by, other team members. Provide support for otherduties asdeemedappropriatebythesenior scientists ...

modem and link validation, with an emphasis on baseband signal processing and digital verification workflows. Analyze and define calibration and metrology approaches, including statistical error analysis, confidence intervals, and error budgets. Develop modular and reusable software tools (primarily in Python or similar languages) for diverse test environments. Analyze … with collaborative software development practices (version control, code reviews). Background in test automation frameworks. Proficiency in both Linux and Windows environments. Skills in statistical analysis and metrology. ...

modem and link validation, with an emphasis on baseband signal processing and digital verification workflows. Analyze and define calibration and metrology approaches, including statistical error analysis, confidence intervals, and error budgets. Develop modular and reusable software tools (primarily in Python or similar languages) for diverse test environments. Analyze … with collaborative software development practices (version control, code reviews). Background in test automation frameworks. Proficiency in both Linux and Windows environments. Skills in statistical analysis and metrology. ...

will: Design realistic data science problems grounded in business scenarios Cover the full data science lifecycle, including: Data ingestion & cleaning Exploratory analysis Feature engineering Statistical analysis & modeling Validation and interpretation Implement verified Python solutions Ensure all problems are fully deterministic and reproducible Clearly document: Business context Data ...

will: Design realistic data science problems grounded in business scenarios Cover the full data science lifecycle, including: Data ingestion & cleaning Exploratory analysis Feature engineering Statistical analysis & modeling Validation and interpretation Implement verified Python solutions Ensure all problems are fully deterministic and reproducible Clearly document: Business context Data ...

will: Design realistic data science problems grounded in business scenarios Cover the full data science lifecycle, including: Data ingestion & cleaning Exploratory analysis Feature engineering Statistical analysis & modeling Validation and interpretation Implement verified Python solutions Ensure all problems are fully deterministic and reproducible Clearly document: Business context Data ...

will: Design realistic data science problems grounded in business scenarios Cover the full data science lifecycle, including: Data ingestion & cleaning Exploratory analysis Feature engineering Statistical analysis & modeling Validation and interpretation Implement verified Python solutions Ensure all problems are fully deterministic and reproducible Clearly document: Business context Data ...

will: Design realistic data science problems grounded in business scenarios Cover the full data science lifecycle, including: Data ingestion & cleaning Exploratory analysis Feature engineering Statistical analysis & modeling Validation and interpretation Implement verified Python solutions Ensure all problems are fully deterministic and reproducible Clearly document: Business context Data ...

will: Design realistic data science problems grounded in business scenarios Cover the full data science lifecycle, including: Data ingestion & cleaning Exploratory analysis Feature engineering Statistical analysis & modeling Validation and interpretation Implement verified Python solutions Ensure all problems are fully deterministic and reproducible Clearly document: Business context Data ...

will: Design realistic data science problems grounded in business scenarios Cover the full data science lifecycle, including: Data ingestion & cleaning Exploratory analysis Feature engineering Statistical analysis & modeling Validation and interpretation Implement verified Python solutions Ensure all problems are fully deterministic and reproducible Clearly document: Business context Data ...

will: Design realistic data science problems grounded in business scenarios Cover the full data science lifecycle, including: Data ingestion & cleaning Exploratory analysis Feature engineering Statistical analysis & modeling Validation and interpretation Implement verified Python solutions Ensure all problems are fully deterministic and reproducible Clearly document: Business context Data ...

will: Design realistic data science problems grounded in business scenarios Cover the full data science lifecycle, including: Data ingestion & cleaning Exploratory analysis Feature engineering Statistical analysis & modeling Validation and interpretation Implement verified Python solutions Ensure all problems are fully deterministic and reproducible Clearly document: Business context Data ...

will: Design realistic data science problems grounded in business scenarios Cover the full data science lifecycle, including: Data ingestion & cleaning Exploratory analysis Feature engineering Statistical analysis & modeling Validation and interpretation Implement verified Python solutions Ensure all problems are fully deterministic and reproducible Clearly document: Business context Data ...

will: Design realistic data science problems grounded in business scenarios Cover the full data science lifecycle, including: Data ingestion & cleaning Exploratory analysis Feature engineering Statistical analysis & modeling Validation and interpretation Implement verified Python solutions Ensure all problems are fully deterministic and reproducible Clearly document: Business context Data ...