1 to 25 of 127 Permanent Statistical Analysis Jobs in the UK

and transaction history.Collaborate with marketing teams to identify target segments for personalised campaigns and promotions.Provide actionable insights and recommendations to stakeholders based on the analysis of segmented dataPreferred Skills:5+ years of hands-on experience and 3+ years in a leadership role within data science in e-commerce, logistics … or a related industryDemonstrated success in building and leading high-performing data science teams.Strong proficiency in machine learning, statistical analysis, and data visualization.Expertise in programming languages such as Python or R.Excellent communication and stakeholder management skills. more »

excellence and continuous improvement. Responsibilities: Support a broad range of OAD/ODED control and governance activities. Conduct audit and regulatory tasks, ad hoc statistical analysis, and budget control. Assist with BCP planning, preparation/submission of applications, and maintaining databases. Update the departmental organisation chart and provide more »

team in the preparation of accurate data for use in Committee and Council reports. To be responsible for writing up the findings of the statistical analysis in such a way that it can be accessed and used by the Council and its partners. * Establish and maintain a network … as an investment location, maximising return on investment for the Essential requirements include: * Have a degree or equivalent qualification in a subject with a statistical component i.e. physics, mathematics, engineering, computer science, economics, geography, business or statistics or other similar discipline * 3 years’ previous experience of undertaking research, collating … issues, maintaining data systems, and making effective evidence recommendations Experience of developing and implementing data analyses, data collection systems and other strategies that optimize statistical efficiency and quality Experience of the analysis, interpretation and presentation of complex data and information and using data and evidence to influence decisions 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 »

conjunction with Marketing, Sales & Supply Chain Managers to develop, progressively improve forecasting process, improve accuracy and reduce forecast volatility through co-ordinated innovation activity. Analysis of historical trends, PSI and market trends on a weekly basis using statistical analysis tools to generate weekly forecasts. Collect and review …/international events. Monitor periodical performance measures and supplier/customer non-conformance to enable process improvement in the Supply Chain. Provide fact-based analysis with a corrective action plan Build on collaborative working relationships with key customers to drive forecast accuracy, process improvements, and free flow of information 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 »

Effectively communicate findings to both technical and non-technical stakeholders through presentations, reports, and visualizations. Provide actionable insights and recommendations to stakeholders using data analysis, to help them make informed decisions and drive business growth. Stay updated with the latest industry trends across data & analytics leveraging technologies to improve … business capabilities. Requirements: Background in leading teams and driving stagey across Data Science and Analytics. In-depth knowledge of statistical analysis techniques and methodologies Proven experience in data analysis and visualization tools, such as SQL, Tableau, Power BI, or similar tools Excellent communication skills, presentation skills and 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 »

optimization scenarios. Build production systems for implementing, trading, monitoring, and performance reporting of systematic investment strategies. Implementation of strategies into production level code. Apply statistical and predictive modeling techniques to process and analyze large data sets. Research and attribution of portfolio performance and driving factors. Conduct research and statistical more »

. That said, candidates with experience working within interest rate trading are particularly welcomed. You must be able to demonstrate an ability to understand statistical analysis and modelling. This is an excellent opportunity to join a highly successful and very collegiate fund with a progressive and positive working more »

of IT data sources, ensuring data validity, and build sustainable relationships with Claims Handlers, IT, Data, actuarial departments, and other key internal teams. Deliver statistical analysis to identify performance improvement opportunities and provide MI/BI training on systems and digital innovations. Uphold ethical and service standards, demonstrate … flexibility, agile mindset, teamwork, lean & 6Sigma principles, and actively pursue self-studies to maintain knowledge. The candidate: Proficiency in SQL, statistical modelling software (e.g., R, Python), Excel (advanced), Qlik Sense or Power BI gained in an analytics role. Strong verbal and written communication skills, translating detailed reporting outputs and more »

and acquire decision-grade data about the public—what consumers, voters and citizens think and do. The Role: You will be the research manager analysis lead at the organization, you’ll be a foundational part of a fast-growing research data team which works in lockstep with the 10+ … also be welcomed. The ideal candidate should be able to come to identify the top 2-3 findings for each client brief through data analysis — and express these in well-structured PowerPoint decks and memos Experience in conducting different types of statistical analyses ideally on panel data — principal … component analysis, factor analysis, multivariate regression and cluster analysis The benefits: As a Research Manager, you can earn up to a base of £60,000 plus an aggressive benefits package How to apply: Please register your interest by sending your Resume to Louiscollins@harnham.com or via the more »

to resolve data entry issues and ensure query resolution in a timely manner. Creation of data transfer specifications and provision of data extracts for statistical analysis. Tracking and reporting of study status metrics. Ensuring data management documentation is audit/inspection-ready at all times. Provide data validation and … industry experience Experience of Javascript or SQL Experience with power BI is desirable Excellent attention to detail and ability to apply critical thinking in analysis of data. Excellent written and verbal communication. Experience with clinical databases, understanding of database structures, programming languages, data standards (CDASH/CDISC) and application more »

data analysis Applying a broad range of techniques (A/B hypothesis testing, multivariate test, data exploration, data preparation, big data analytics, visualizations, statisticalanalysis, business analysis) for gathering the insights and identifying meaningfultrends in the data Generating tactical analysis to distil the insights, identify opportunities & make recommendations … 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 expectation management Skills required for the job … Business analysis Statistical analysis, such as time series, A/B and multivariate tests Data visualization 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 more »

impact on the commodity markets. You will work closely with data engineers focusing on the analytics and modelling side of the platform being built. Statistical analysis, weather mapping and visualisation reports will be required to show the impact of the prices on the commodities markets. This is a more »

and dashboards for the project and external clients. Data Organisation : Structure data to ensure compliance with WBS, CBS, and OBS for consistent reporting. Trend Analysis : Use data to predict trends and perform statistical analysis, visualising data in user-friendly formats. Digital Reporting : Implement digital reports and dashboards … using data from the Data Lake. Support Monthly Reports : Provide intelligent information and analysis for monthly report production. Training and Support : Develop training materials, conduct sessions, and provide user support. System Administration : Manage system configuration, testing, user administration, and licence management. Innovation : Attend industry events to innovate and advance more »

. That said, candidates with experience working within interest rate trading are particularly welcomed. You must be able to demonstrate an ability to understand statistical analysis and modelling. This is an excellent opportunity to join a highly successful and collaborative fund with a progressive and positive working culture more »

large datasets from multiple sources to ensure data integrity and reliability. Develop machine learning models and algorithms to optimize user engagement, customer segmentation, cohort analysis and pricing strategies. Conduct exploratory data analysis to uncover patterns, trends, and correlations that inform product development and marketing initiatives. Build and deploy … in programming languages such as Python or R, along with libraries/frameworks such as TensorFlow, PyTorch, Scikit-learn, or Pandas. Strong knowledge of statistical analysis, hypothesis testing, and experimental design. Experience with SQL databases, data warehousing, and big data technologies. Familiarity with data visualisation tools such as 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 »

/Quantitative/Economist Role: Senior Statistician Company: AI PropTech Salary: up to £80,000 Location: London – Hybrid Responsibilities: • Explore the data through thorough analysis to unveil statistical indicators and patterns within our datasets. • Examine the structure and integrity of the data, detecting anomalies or discrepancies. • Your proficiency … in statistical analysis, data modelling, and problem-solving will play a critical role in guiding the trajectory of our products and services. • Gauge the significance and scale of the data to support decision-making. • Choose appropriate statistical methods and algorithms tailored to project needs. • Prototype data models … to tackle real-world issues and refine them as necessary. • Utilise Python (and SQL) to develop and enhance statistical models. Key requirements: • Demonstrated expertise in roles such as Statistician, Trader, Economist, Quantitative (Quant) Analyst, or comparable positions. • Proficient in Python, SQL, and Excel for data manipulation, analysis, and more »

e.g., Scikit-learn, TensorFlow) and visualization libraries (e.g., Matplotlib, Seaborn). - Strong SQL skills and experience with data visualization tools (e.g., Tableau). - Basic statistical analysis knowledge. - Experience in deploying production ML systems. - Familiarity with DevOps in a data science context (e.g., MLOps) is a plus. Tools currently more »

with regulatory and industry standards Monitor model performance tests and assess the appropriateness of models in order to demonstrate policy adherence Conduct mathematical/statistical analysis to calibrate and enhance risk models Collaborate with colleagues on key policy and methodology development Documentation of risk polices and models to 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 »

areas of the business, monitored against key manufacturing KPIs such as yield loss, scrap, and customer complaints. Reduce manufacturing equipment downtime by route cause analysis and driving the implementation of corrective and preventative actions. Evaluate current production activities with the use of statistical analysis tools to identify more »

equipment using appropriate third-party resource Routine tests of manufactured products. Investigation/repair/modification of returned products as may be required. Regular statistical analysis of returned product data and creation of reports and associated improvement plans. Design and build (in house or subcontracted) of custom test more »