19 Statistical Analysis Jobs in the North of England

Clinical Statistical Programmer; Global Pharma, Oncology - Remote - Permanent Proclinical is seeking a dedicated Clinical Statistical Programmer with a focus on Oncology. This is a remote permanent position. Primary Responsibilities: In this role, you will apply your biostatistics skills and experience to support the development of scientifically based arguments … part of our Global Biostatistics department, collaborating with multiple functional areas across the company. Skills & Requirements: Advanced degree (MSc or PhD). Proficiency in statistical programming, particularly SAS. Detailed knowledge of CDISC standards (SDTM, ADAM). Excellent communication skills, both written and verbal, with the ability to communicate complex … statistical concepts to non-statistical audiences. Ability to work effectively in a team environment and to manage multiple projects simultaneously. Attention to detail and the ability to prioritize tasks and meet tight timelines. The Clinical Statistical Programmer will: Support analysis and reporting on clinical projects. Collaborate more »

solution delivery. The successful candidate(s) will be expected to: Lead commissions in area of efficiency & value identification, assurance & continuous improvement, construction economics research & analysis, and general data advisory services. Have experience in one or more of the following technical disciplines: Cost Model and/or Cost Estimate development … Statistical Analysis to support benchmarking and efficiency exercises Business Cases development and Cost Benefit Analysis Evaluation of strategic options to support investment decisions Design business models. Identify cost reduction opportunities through benchmarking and efficiency exercises Possess analysis capabilities which can be applied to client and industry … delivery Demonstrable experience and/or relevant qualification in one or more of the following: cost modelling, cost estimation, business case development, cost-benefit analysis or statistical analyses. Knowledge and interest in the infrastructure sector and its ongoing developments Strong capability in the Microsoft Suite of products Effective more »

forefront of innovation to address the entire breadth of opportunities in the evolving world of cloud, digital and platforms. Role purpose/summary Data Analysis: Apply statistical analysis and data mining techniques to extract insights from large datasets, supporting decision-making and strategic planning. Service Management: Utilise … Data Modelling: Develop and implement data models to support the organisation's data infrastructure, ensuring that data is structured in a way that facilitates analysis and reporting. Predictive Modelling: Build predictive models to forecast future service performance and identify potential issues before they impact service delivery. Data Visualisation: Create … communicate complex data insights in a clear and concise manner to stakeholders at all levels. Machine Learning: Apply machine learning techniques to automate data analysis and prediction processes, improving efficiency and accuracy. ServiceNow Expertise: Leverage expertise in ServiceNow to surface, link, and map data, providing comprehensive insights into service more »

analytical tools and environments to develop and deliver data science products including processing pipelines, interactive dashboards, machine learning models, as well as carrying out statistical analysis and deriving valuable insight. You will get the opportunity to work closely with customers and business experts to scope and design the … Science tools and processes Experience with Azure, Amazon or Google cloud architecture Knowledge of the data landscape in the UK and Ireland Data processing, analysis and visualization skills Strong problem-solving skills in relation to data science projects Proficiency in Python, R, C#, JavaScript or another programming language Proficiency more »

PAS 2035-compliant from assessment to evaluation and checking all designs, specifications and assessments for strict PAS 2035 compliance. Overseeing robust property, energy, and statistical data analysis using tools like Excel and SAP and RdSAP, and making retrofit decisions based on that data. Leading dwelling assessment analysis … in housing or retrofit). Experience of using SAP/RdSap software or equivalent with a comprehensive understanding of PAS2035 retrofit requirements. Have strong statistical analysis skills and able to use Microsoft Excel to analyse data. Be a great influencer, with the ability to effect change among customers … in our office at One Strawberry Lane, Newcastle city centre and others on site/property inspections. Able to use technology for data collection, analysis, reporting, record keeping as well as online learning and collaborating with colleagues. A place where you belong Great things happen when we can be more »

to 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 more »

this role are expected to apply knowledge of experimental methodologies, statistics, Reinforcement Learning, Optimisation, Probability Theory, and Machine Learning using code for tool building, statistical analysis, and modelling, using both general-purpose software and statistical languages. The ideal candidate will have endless curiosity and can pair a … up which helps manage the entire model lifecycle: feature engineering, model training/evaluation, versioning, deployment/online serving and monitoring prediction quality Data Analysis/Feature Engineering: Apply your expertise to identify and calculate features that can be leveraged by multiple use cases as well as models Model … training with batch and real-time prediction scenarios: Use machine learning and statistical modeling techniques such as Reinforcement Learning,Decision Trees, Logistic Regression, Bayesian Analysis, Neural Networks and others to develop and evaluate algorithms to improve product/system performance, quality and accuracy Low level systems debugging, performance more »

Senior Stakeholders alongside creating general reports. Requirements: Proficiency with Power BI and DAX or similar data visualisation and ETL tools. Proven experience in data analysis, minimum 2 years Advanced Expertise in Excel, including modern functions, Power Query and data visualisation Proven track record in computational modelling & or statistical analysis, and Machine Learning Having a working knowledge of using SSRS would be an advantage Responsibilities: Data Management: Work along with our team to engineer the best solutions for reports from a 'Single Source of the Truth'. Data Analysis and Modelling: Utilise ETL tools to analyse more »

quality as they develop innovative solutions for various industries. Responsibilities for the Quality Technician: Develop and refine quality assurance processes Conduct thorough testing and analysis Investigate and address quality issues Maintain detailed documentation Collaborate with cross-functional teams Manage supplier quality standardsRequirements for the Quality Technician: Proven experience in … quality engineering, ideally in semiconductor or optoelectronics Strong understanding of manufacturing processes and reliability testing Hands-on experience with failure mode analysis Familiarity with statistical analysis (e.g., Lean Six Sigma) Excellent problem-solving skills Eligibility to work in the UKBenefits for the Quality Technician: Competitive salary and more »

models that unlock new revenue streams and operational efficiencies, making this an exceptional opportunity to drive meaningful change. What You'll Do: Preparation and Analysis: Collaborate to gather quality datasets, evaluate data, and derive actionable insights. Learning Modelling: Develop and implement models for complex challenges using statistical analysis more »

models that unlock new revenue streams and operational efficiencies, making this an exceptional opportunity to drive meaningful change. What You'll Do: Preparation and Analysis: Collaborate to gather quality datasets, evaluate data, and derive actionable insights. Learning Modelling: Develop and implement models for complex challenges using statistical analysis more »

services from Cloud providers (AWS, Azure, GCP). • Python and Jupyter ecosystem (Lab, Notebook) and related libraries and tooling. • Python libraries for data management, statistical analysis, machine learning, and visualisation. • Machine learning frameworks such as TensorFlow and PyTorch. • Knowledge of Natural Language Processing and Computer Vision applications. • Strong more »

and the economy.You will work flexibly across the full range of projects the CMA undertakes and be accountable for the quality of research and statistical analysis across the CMA’s work, such as investigations into mergers and markets, competition and consumer enforcement cases, and regulatory appeals.You will provide more »

and the economy.You will work flexibly across the full range of projects the CMA undertakes and be accountable for the quality of research and statistical analysis across the CMA’s work, such as investigations into mergers and markets, competition and consumer enforcement cases, and regulatory appeals.You will provide more »

Data Reports utilising data visualisation tools, improving the current reporting systems and providing solutions for replacements where needed. Responsibilities: In the realm of data analysis and modelling, one's responsibilities include utilising SQL for the extraction, transformation, and analysis of data from diverse sources. This also encompasses the … creation of data models and the execution of statistical analyses to unearth trends, patterns, and anomalies. Expertise in Excel is demonstrated through proficiency with advanced formulas, pivot tables, and data visualisation techniques. This expertise is further applied in collaboration with stakeholders to develop and maintain intricate spreadsheets that serve more »

and cyber security applications to safeguard users data · Prepare a report log on daily occurring queries to the development team · Monitoring data quality, performing statistical analysis of data Desirable Requirements · Strong knowledge about SQL data and Excel skills · ¾ years’ experience as a help desk Qualifications and Experience: · A more »

in Twinkl; including areas such as search & recommendations, pricing, payments, marketing and production. You will use your extensive skills in visualisations, in depth data analysis, machine learning techniques, statistical analyses, and problem solving in order to take the lead in transforming raw data into actionable insights. Here are more »

expert supporting our marketing team, delivering unparalleled data-driven value that resonates. Using your skills in visualisations, in-depth data analyses, machine learning techniques, statistical analyses, and problem solving you'll take the lead in transforming raw data, into actionable insights Here are just some of our data projects … our LTV model to help direct our paid search campaign Unearth our marketing channel data and provide insights on channel performance Expand our cohort analysis so we can direct specific funnel mechanics to customer groups Curious for more? visit our Data Science Blog or our Medium page to learn more »

Responsibilities: Develop cutting-edge AI algorithms and data models to optimize energy power systems. Utilize Python to implement scalable and efficient solutions for data analysis and predictive modelling. Collaborate with cross-functional teams to integrate AI solutions into existing infrastructure. Conduct statistical modelling to identify energy trends, support … energy technology. Requirements: Proficiency in Python programming and experience with other relevant libraries and software. Strong understanding of data modelling, machine learning techniques, and statistical analysis. Knowledge of energy power systems, including renewable energy sources and grid optimisation. Excellent problem-solving skills and ability to work in a fast more »