1 to 25 of 117 Permanent Statistical Analysis Jobs in the UK

advise on approaches for translating system definitions into detailed design specifications through to system testing. Your expertise in system architectural design, modelling, simulation, systems analysis, testing, statistical analysis, and reliability engineering will be key to guiding product manufacturing and deployment processes. Responsibilities: Collaboration with Systems Team: Oversee … to contribute to the development of comprehensive system design specifications. Utilise advanced modelling techniques to enhance the accuracy and completeness of system representations. Systems Analysis and Testing: Conduct thorough systems analysis to identify potential challenges and opportunities for improvement in the design and deployment phases. Design and implement … system testing strategies to ensure the reliability and functionality of the developed systems. Statistical Analysis and Reliability Engineering: Apply statistical analysis methods to evaluate system performance and identify areas for optimisation. Utilise reliability engineering principles to enhance the robustness and longevity of the deployed systems. Documentation more »

Desirable Experience Biostatistical input into the design of the program, Protocol input such as study design, sample size calculations and patient randomization schemes and Statistical aspects of case report form design Review project database structures, edit checks and data management coding conventions Preparation of statistical analysis plans … including the definition of derived data, and the design of statistical tables, figures, and data listings for clinical summary reports Statistical analysis, Interpretation of data and reporting of results Writing of the statistical methods sections of integrated study reports. Reviews draft integrated study reports. Supports responses … for leading Biostatistics and Programming activities for a program of studies of high complexity and/or of high value with high impact. Bio statistical input into the design of the program, Protocol input such as study design, sample size calculations and patient randomization schemes and Statistical aspects more »

planning and administering patient care. Responsible for supporting the Head of Analytics in the seamless delivery of bespoke robust business intelligence (information and performance analysis) to stakeholders across our clinical divisions Core focus on the provision of bespoke analysis to operational and clinical customers by using analytics techniques … including regular performance dashboards, demand and capacity modelling, business planning, statistical analysis, and responding to ad hoc queries for information and analysis. Working as an 'Analytical Business Partner', you will ensure that operational and clinical colleagues in the Operational Division have timely access to the insights they require … to make strategic and tactical decisions. You will also have experience in working with benchmarking tools, activity forecasting, modelling, and statistical analysis. You will have proven experience in using SQL querying for analysis and programming languages such R or Python. Main duties of the job Provide specialist advice more »

are seeking a detail-oriented and analytical Management Information Administrator to join our team. The successful candidate will be responsible for the effective management, analysis, and reporting of data, supporting business processes, and interacting with clients to provide insights and solutions. This role requires a strong proficiency in Microsoft … Excel, including intermediate skills in pivot tables and VLOOKUP, as well as capabilities in data manipulation, statistical analysis, and process creation. Key Responsibilities We are looking for someone to: Data Management and Analysis: Collect, analyse, and interpret data to produce accurate and timely management information reports Utilise … Excel functions such as pivot tables and VLOOKUP to manipulate and analyse data Conduct statistical analysis to identify trends, patterns, and insights that inform business decisions Process Creation and Improvement Develop and implement efficient processes for data collection, analysis, and reporting Document processes and ensure they are more »

Development team, you will play a pivotal role in leveraging data to drive innovation and solve real-world problems. Utilising you're expertise in statistical analysis, data modelling and problem solving in order to shape the direction of product and services. THE ROLE The successful Statistician responsibilities will … use this to highlight problems with customers, they then use this data to build a model to fix the issue Data crunching unstructured data, analysis, finding out the problems, utilising exploratory and statistical analysis Working on real life production data, solving real life business problems, including financial … they think will work as a solution. Working closely with the C-Suite on a daily basis YOUR SKILLS AND EXPERIENCE SQL & Python for statistical analysis within a product environment BSc or MSc in mathematical/stem based subject THE BENEFITS Up to £70,000 + benefits Hybrid more »

Development team, you will play a pivotal role in leveraging data to drive innovation and solve real-world problems. Utilising you're expertise in statistical analysis, data modelling and problem solving in order to shape the direction of product and services. THE ROLE The successful Statistician responsibilities will … use this to highlight problems with customers, they then use this data to build a model to fix the issue Data crunching unstructured data, analysis, finding out the problems, utilising exploratory and statistical analysis Working on real life production data, solving real life business problems, including financial … they think will work as a solution. Working closely with the C-Suite on a daily basis YOUR SKILLS AND EXPERIENCE SQL & Python for statistical analysis within a product environment BSc or MSc in mathematical/stem based subject THE BENEFITS Up to £70,000 + benefits Hybrid more »

evaluating potential, scoping projects, and defining deliverables. and deploy advanced machine learning models using Azure Machine Learning and open-source stack, ensuring robustness through statistical analysis and hypothesis testing. and mentor data science team members, fostering their growth and skill development while delivering impactful insights through data visualizations … the Insurance Domain. in Python or R programming languages, extensive experience with ML algorithms and models, including Regression, Tree-based, Unsupervised, and NLP. of statistical analysis, hypothesis testing, experimental design, and expertise in machine learning algorithms and frameworks such as TensorFlow, Keras, PyTorch. If you are interested in … this role, apply now. Keywords: Data Science, Data Scientist, ML, Machine Learning, statistical analysis, Python, Keras, TensorFlow, PyTorch, Insurance, Financial Services. Top of Form more »

data analysis Applying a broad range of techniques (A/B hypothesis testing, multivarate test,data exploration, data preparation, big data analytics, visualisations, statisticalanalysis, business analysis) for gatheringthe insights and identifying meaningfultrends in the data Generating tactical analysis to distilthe insights, identify opportunities & make recommendations Articulating trends … insights tailored to the audience and business needs Defining business dashboard requirements for Qlik developers Performing data exploration, cleaning, and aggregation in preparation for analysis Proactiveness and ability to work autonomously and propose practical and differentiated solutions to problem statements and good expectationmanagement Skills required for the job Business … analysis Statistical analysis, such as time series, A/B and multivariate tests Data visualisation for business presentations and dashboard design Commercial product analysis experience Delivering effective and engaging presentations to a variety of audiences Data engineering as necessary to pull the data from the databases more »

learn more about LexisNexis Risk at the link below, risk.lexisnexis.com About our Team: You will part of a small team assisting the business with statistical analysis and building predictive models for credit, fraud, and identity risk. About the Role: We are looking for a Data Scientist to conduct … statistical analysis and build predictive models for credit, fraud, and risk. The ideal candidate will have experience in data mining, statistical methods, and modelling/scoring techniques. They will balance day-to-day analytics assignments, research experiments and will contribute to the advancement of the global data … science group. Responsibilities Building and testing credit and fraud risk statistical models to be used by existing and new customers Providing complex analytical results in clear, simple messaging to evidence the value provided by our products Following modelling best practices and provide feedback on ways to enhance current processes more »

and manage data requirements collaboratively with business partners. • Develop, maintain, and optimize data models and databases to improve data accuracy, accessibility, and reliability. • Apply statistical analysis methods to interpret data trends, patterns, and correlations, and communicate insights and recommendations to business stakeholders. • Utilize advanced machine learning and AI … techniques to develop predictive models for improving business processes, customer experience, and operational efficiency. • Conduct exploratory data analysis to identify opportunities for data-driven decision-making and formulate hypotheses for testing. • Design and implement data visualization techniques to present complex data insights in a user-friendly and intuitive manner. … solving business challenges. • Provide technical guidance and mentorship to junior team members and contribute to knowledge sharing within the organization. • Maintain documentation of data analysis processes, methodology, and results to ensure replicability and transparency. What You Will Need • Bachelor's degree in computer science, data, statistics, mathematics, or a more »

with strong aesthetics ready to present both internally and to clients by utilizing Excel & PowerPoint. Contribute to the development and growth of protocols and statistical analysis plans by providing analytical, database, therapeutic, epidemiological, and statistical expertise and experience. Design, implement and interpret basic & advanced statistical methods. … or PhD in relevant field. • 4+ years relevant work experience (consulting, CRO & industry backgrounds considered) • Demonstrated knowledge of R/SQL/SAS and statistical methods over several years. • Experience developing and implementing statistical analysis plans utilizing RWD or clinical trials. • Demonstrated thorough aptitude for conducting quantitative more »

the formulation and execution of a comprehensive data strategy, encompassing service performance metrics, sales KPIs aligned with business objectives. Oversee the collection, interpretation, and analysis of service performance metrics, such as response times, resolution rates, and customer satisfaction scores, to optimise service delivery and enhance customer experience. Develop and … and other AI technologies to drive innovation and competitive advantage. Lead the application of advanced analytics techniques, such as predictive modelling, machine learning, and statistical analysis, to derive actionable insights from service performance metrics and sales KPIs. Design and develop intuitive and interactive dashboards, reports, and data visualisations … of experience in a leadership role within a data-driven organisation, with expertise in service performance analytics and sales KPI monitoring. proficiency in data analysis tools and techniques, including SQL, Python, R, and statistical analysis software. experience in developing and implementing data strategies that drive business outcomes more »

support third party and customer audits on site. Regular communication with customers for New Product development, product approval and complaints Establish and define competent statistical analysis, monitoring quality control data to identify trends, deviations, and potential issues, and implement corrective actions as needed. Collaborate with laboratory staff to … to enhance laboratory efficiency and effectiveness. Provide guidance and support to laboratory staff on quality-related matters, including the interpretation of regulations and standards. Analysis of laboratory performance data to provide feedback regarding manufacturing processes to improve product performance. Requirements: Performance Expectations Measurement System Analysis methodologies, particularly using … statistical analysis techniques are important for this role. A good understanding of UKAS accreditations would be beneficial. Monitor product and laboratory performance to ensure methods are followed accurately, tests meet acceptance criteria and proficiency work is satisfactory. Required Qualifications Bachelor's degree in a relevant field (e.g., quality more »

leverage your data science expertise to drive positive business impact, demonstrating experience in data preparation and EDA. You will use machine learning tools and statistical techniques to solve business problems and collaborate with non-technical experts to propose data-driven solutions. You will confidently present complex subjects to non … technical stakeholders. The ideal candidate will have advanced analytics and data science experience, successfully delivering data science projects. They will excel in data manipulation, statistical analysis, and implementing machine learning algorithms. Proficiency in BI tools (e.g., Oracle Analytics, Tableau), Python, and SQL is essential. Additionally, you will have … and development in their career. The Role: Leverage data science expertise to drive positive business impact Demonstrate experience in data preparation and exploratory data analysis (EDA) Use machine learning tools and statistical techniques to solve business problems Collaborate with non-technical experts to propose data-driven solutions Confidently more »

NoSQL etc. experience • Experience with data visualization using Tableau, Quicksight, or similar tools • Experience with data modeling, warehousing and building ETL pipelines • Experience in Statistical Analysis packages such as R, SAS and Matlab As a BIE, you will own partnering with data engineering and software engineering teams to … NoSQL etc. experience • Experience with data visualization using Tableau, Quicksight, or similar tools • Experience with data modeling, warehousing and building ETL pipelines • Experience in Statistical Analysis packages such as R, SAS and Matlab • Experience using SQL to pull data from a database or data warehouse and scripting experience more »

+ Bonus Company Overview: Our client is a leading financial services firm specialising in algorithmic trading strategies. They leverage cutting-edge technology and quantitative analysis to drive innovation and deliver superior returns to their clients. As they continue to expand our trading operations, they are seeking a talented Quantitative … trends, and opportunities for alpha generation. Develop and implement algorithmic trading strategies across equities, futures, options, and other asset classes. Conduct backtesting and simulation analysis to evaluate the performance of trading models and optimize parameters. Collaborate with traders and developers to design and implement trading algorithms, including execution logic … needed to adapt to changing market conditions. Stay abreast of industry developments and emerging trends in algorithmic trading, quantitative finance, and machine learning. Perform statistical analysis and quantitative research to enhance trading strategies and improve risk-adjusted returns. Work closely with other members of the quant team to more »

project leaders: keeping them informed, preparing briefing notes, data reviews, meeting agendas, summaries, and up-to-date project filing · Responsible for the execution of analysis plans co-developed with team leads ABOUT YOUR BACKGROUND · 3+ years of experience in a quantitative research agency role using statistical analysis … and their projects are elevated · Indomitable Inventiveness: the entrepreneurial resourcefulness to navigate complex challenges and disrupt expectations ABOUT YOUR SKILLSET · Quantitative research · Experience with statistical analysis tools: SPSS, U&As, running multivariate analyses · Experience with brand health trackers- a focus on retail and fashion is desired · Knowledge of more »

credit books and is a leader in the space. The team are seeking someone with between six and nine years of quantitative modelling and statistical analysis within the Credit space. Perhaps an individual in retail banking or an individual with co-mingled banking and fund experience that has … critical in decision making both from a due diligence perspective ahead of investment decisions and post acquisition of credit portfolios. Dissecting the portfolios through statistical analysis to assess revenue streams, risk identification, adjusting payment structures within the portfolio blocks and ongoing regular monitoring of that performance to pre … of skill set 5-9 years of Credit Experience ideally from a retail bank or leading financial institution A strong experience working both on analysis but also execution of credit loans deals/lending within your institution Advanced statistical modelling skills that can achieve optimisation, multi dimensional regression more »

models.Key Tasks: Fraud Detection: Access existing systems, evaluate vendor models, and create a roadmap for system improvements aimed at fraud prevention. Pattern and Irregularity Analysis: Use statistical tools to uncover patterns and irregularities in data that could indicate fraudulent activities. Predictive Modelling: Employ predictive modelling techniques to identify … Cross-Department Collaboration: Work closely with other departments to enhance overall security and fraud detection.Requirements: Programming Proficiency: Fluency in Python with deep knowledge of statistical packages and ML/DL libraries/frameworks (e.g., Scikit-learn, NumPy, Keras/TensorFlow/PyTorch) and visualization libraries (e.g., Matplotlib, Plotly, Seaborn … . Database Skills: Fluency in SQL and familiarity with data visualization tools (e.g., DataStudio, Tableau). Statistical Analysis: Basic understanding of statistical analysis. Growth Mindset: Proactive and enthusiastic about keeping up-to-date with the latest technologies and researching new ideas. Commercial Experience: Experience in implementing production more »

Key Tasks: Fraud Detection: Access existing systems, evaluate vendor models, and create a roadmap for system improvements aimed at fraud prevention. Pattern and Irregularity Analysis: Use statistical tools to uncover patterns and irregularities in data that could indicate fraudulent activities. Predictive Modelling: Employ predictive modelling techniques to identify … Department Collaboration: Work closely with other departments to enhance overall security and fraud detection. Requirements: Programming Proficiency: Fluency in Python with deep knowledge of statistical packages and ML/DL libraries/frameworks (e.g., Scikit-learn, NumPy, Keras/TensorFlow/PyTorch) and visualization libraries (e.g., Matplotlib, Plotly, Seaborn … . Database Skills: Fluency in SQL and familiarity with data visualization tools (e.g., DataStudio, Tableau). Statistical Analysis: Basic understanding of statistical analysis. Growth Mindset: Proactive and enthusiastic about keeping up-to-date with the latest technologies and researching new ideas. Commercial Experience: Experience in implementing production more »

Key Tasks: Fraud Detection: Access existing systems, evaluate vendor models, and create a roadmap for system improvements aimed at fraud prevention. Pattern and Irregularity Analysis: Use statistical tools to uncover patterns and irregularities in data that could indicate fraudulent activities. Predictive Modelling: Employ predictive modelling techniques to identify … Department Collaboration: Work closely with other departments to enhance overall security and fraud detection. Requirements: Programming Proficiency: Fluency in Python with deep knowledge of statistical packages and ML/DL libraries/frameworks (e.g., Scikit-learn, NumPy, Keras/TensorFlow/PyTorch) and visualization libraries (e.g., Matplotlib, Plotly, Seaborn … . Database Skills: Fluency in SQL and familiarity with data visualization tools (e.g., DataStudio, Tableau). Statistical Analysis: Basic understanding of statistical analysis. Growth Mindset: Proactive and enthusiastic about keeping up-to-date with the latest technologies and researching new ideas. Commercial Experience: Experience in implementing production more »

NJ, USA and presence in other 20+ countries-India, Denmark, UK, Singapore etc. (www.tech-observer.com) We are hiring for following roles on FSP: a. Statistical programmers : 5-8 years of exp in clinical SAS Programming Senior Statistical Programmers : 8-12 years of exp in clinical SAS Programming b. … Principal Statistical programmers : 12+ years of exp in clinical SAS Programming Location -United Kingdom (candidates eligible to work in UK shall be considered) Work Timings : US Timings (EST -3 days and PST -2 days) Job Responsibilities- 1.Compliance with working SOPs within the framework of the Quality Management System and … guidelines. 2. Implement and follow the latest versions of CDISC, FDA Guidelines, GCP and other industry standards. 3. Participate in and co-ordinate the Statistical Programming review of Case Report Forms (CRFs), annotated CRFs, database structures and study related documentation (e.g. data validation guidelines). 4. Review and interpret more »

As a Data Analyst Trainer you will teach, mentor and guide adult students of varying levels of knowledge and experience, in mastering fundamental data analysis techniques and tools. Responsibilities include collaborating with other trainers and stakeholders, conducting one-on-one or group tutoring sessions, offering personalised feedback, and facilitating … Apprenticeship · Data Analyst Higher Technical Qualifications · Data Analyst Bootcamps The role includes: Deliver mainly online and on occasions face to face training in Data Analysis to groups and individual learners. Some evening training sessions will be required for which you will receive time off in lieu. Work independently and … for someone with the following knowledge: Data Wrangling: Ability to clean, preprocess, and manipulate data from various sources to make it suitable for analysis. Statistical Analysis : Proficiency in applying statistical methods to analyse data, interpret results, and draw meaningful conclusions. Data Visualisation: Skill in creating visually appealing more »

be varied, and because of the relatively small size of the company, means your work will include a variety of project types including: Product analysis looking at player behaviour in games. Identifying how changes and game updates are affecting player behaviour. Whether its improving user experience, driving enhancements to … monetisation, or answering business related questions which arise from time to time about the player base Providing statistical analysis through the application of advanced analytics and data science techniques looking at customer churn prevention strategies and prediction, pricing and reward strategies and mechanics. With a firm understanding of … statistical significance Commercial analysis and game analytics deep diving into game performance and providing actionable insight around player and commercial objectives. Including recommendations based on those insights. Design and carry out testing through split run analysis experiments on the player base Providing data visualisations to bring the more »

Job summary The job purpose is to provide data analysis, insight and reporting for: Clinical audit, service evaluation/quality improvement and research within EHAATs Centre for Excellence. Informing operational decision-making within the service. Charity team requirements, as necessary Main duties of the job To perform analysis … Lead for Head Injury and Cardiac Arrest Lead with internal audits and assessment of key performance indicators for our service. To provide rigorous data analysis to support data-driven improvements in patient care within the service. To lead on coding and reporting for Charity and Clinical dashboards displaying key … metrics across our clinical operation. To be responsive to the wider clinical and Centre for Excellence teams needs for data analysis and statistical advice, within the guidance of the Research & Scholarship Lead and others as appropriate. To be responsive to the Operational and Charity teams needs for data more »