51 to 75 of 119 Permanent Statistical Analysis Jobs in the UK

and reporting automation initiatives. Requirements: Experience in Star Schemas and Tabular Modelling. Hands-on experience in implementing Power BI solutions for financial reporting and analysis, including dashboard design and data visualisation.. Understanding of a broader range of Microsoft and other solutions for use-cases for finance processes Knowledge of … in querying, extracting, and manipulating financial data from relational databases. Familiarity with programming languages such as Python or R for data manipulation, automation, and statistical analysis is beneficial. Demonstrable experience in leading and managing projects related to data and reporting automation, from inception to completion By applying you more »

with some latitude for independent judgment. At times may consult with senior peers on certain projects. KEY RESPONSIBILITIES - Demand Planner Global customer demand data analysis and forecast projections. Conduct forecast projections per product family. Maintain forecast module settings in ERP system. MPS forecast upload and data maintenance. Support SIOP … process by gathering the required data. Prepare statistical analysis of Sales, Inventory, and other data. Create presentation to conduct SIOP monthly meetings to improve revenue, on time performance and inventory forecasting. Analyze Supply vs Demand to optimize Supply Chain strategy. Identify supply and demand issues (gaps to plan … a plus. Proficient in Microsoft Office; including Word, Excel, Power BI, Power Point, Outlook Experience leading demand teams using forecast accuracy and bias with statistical data to drive improved customer forecast accuracy and optimized inventory. Expertise in data analysis and presenting to senior leaders TPA are a specialist 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 »

other financial institution Strong programming skills in C# and experience with SQL and database management systems Strong analytical and quantitative skills, and experience in statistical analysis, data modeling or machine learning desirable High levels of motivation and continually seeking to improve the performance of self and supportive of more »

other financial institution · Strong programming skills in languages such as Python and experience with Rest API · Strong analytical and quantitative skills, and experience in statistical analysis, data modeling or machine learning desirable · High levels of motivation and continually seeking to improve the performance of self and supportive of more »

industry experience in data science and materials science, complemented by a strong commercial background, are also encouraged to apply. Proven expertise in computational modelling, statistical analysis, and machine learning. Knowledge/Skills: Ability to craft compelling data-driven narratives for clients and stakeholders. Excellent analytical and problem-solving more »

can learn more about LexisNexis Risk at the link below, risk.lexisnexis.com About our Team : You will part of a team assisting the business with statistical analysis and building predictive models for credit, fraud, and identity risk. About the Role : This a Lead Data Scientist to manage a small … future strategy of the team, as well as performing product development and research projects as needed. The incumbent will have experience in data mining, statistical methods, and multiple modelling/scoring techniques. Responsibilities Managing a small team of data scientists building credit and fraud risk predictive models and other … leading junior data scientists, either via direct line management or peer coaching. Demonstrate good oral and written communication skills, including the ability to describe statistical results to non-technical audiences Show initiative and tenacity to help build and scale a new analytics function, including developing future leaders Have expertise more »

processes.. Analytical Skills: Excellent problem-solving skills and attention to detail. Ability to interpret complex data sets and translate them into actionable insights. Strong statistical analysis skills. This role is hybrid 3 days onsite in Carlisle. Please note this client can't provide sponsorship more »

of delivering impactful solutions. Proficiency in programming languages such as Python or R, and experience with machine learning libraries and frameworks. Solid understanding of statistical analysis, data mining, and predictive modeling techniques. Excellent communication and interpersonal skills, with the ability to effectively convey complex technical concepts. Strong leadership more »

for continuous improvement pipeline.Develop machine learning (ML) or Gen AI models with knowledge of commercial and open source LLMs.Work with big data and perform statistical analysis of data.Implement deep learning frameworks (e.g., TensorFlow, PyTorch, and Keras)Deploy AI models at scale and serve enterprise-level projects.Understand business objectives more »

and maintain stringent risk management protocols to monitor and control the risk exposure of managed accounts, adhering to fund policies and risk tolerance. Performance Analysis: Conduct in-depth analysis of traders and strategies to guide capital allocation and risk management decisions. Team Collaboration: Work closely with the investment … risk indicators . Advanced degree in Finance, Economics, Mathematics, Computer Science, or another relevant quantitative field. Exceptional analytical and quantitative skills , with expertise in statistical analysis and financial modelling. Outstanding communication and interpersonal abilities, with the skill to explain complex concepts to a varied audience. Team player with more »

which help inform the team on observed and forecasted weather within key commodity areas. Skills & Experience: Proficient in Python, SQL and Git. Knowledgeable on statistical analysis and machine learning concepts Strong skills in analysis and processing of large datasets Able to effectively communicate ideas Good at project more »

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 »

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 »

engineering teams and characterise and optimise candidate technologies.Minimum qualifications required: * Strong experience with SQL/Python * Understanding of Machine Learning, Azure ML and AI * Statistical analysis skills * Excellent communication skillsThe role pays up to 80,000, depending on the strength of your skill-set. This role is hybrid more »

Because humanity needs solutions, fast. Data Sciences at Quotient comprises over 100 staff and provides an expert service in the data management, pharmacokinetics, programming, statistical analysis and reporting of early Phase clinical studies. Due to our continued growth and success we have an excellent career opportunity for a … talented Programmer to join our Statistical Programming department and further your career. You will be involved in the challenging environment of early phase clinical studies and play a key role in the expansion and continuous development of our statistical programming services. Main tasks and responsibilities include: Generate SDTM … reports Peer review of some or all of the above Review and programming input into key study documents e.g., Data Management Plans, Reporting and Analysis Plans, Gantts, etc. Dependent on your development, our career pathway allows you to expand your role over time, and progress to more senior roles more »

be a good communicator as you will be collaborating and working closely with multidisciplinary teams. Key responsibilities: Developing and implementing novel mathematical models and statistical analyses for variant calling and detection of minimal residual disease Develop machine learning methods for improving probe efficiency and selectivity. Providing insights into data more »

in a dashboard format. As a Data Analyst, your role will involve conducting thorough plant hygiene and microbial risk reviews, performing validations, conducting data analysis using Power Bi, implementing improvements, conducting investigations, and carrying out internal audits. Key Responsibilities: Managing data related to hygiene and micro-systems, including collecting … quality walks to identify areas of improvement in GMP. Developing and implementing processes to improve hygiene and micro systems, based on data insights and analysis Creating detailed reports and presenting information in graph and dashboard form to key stakeholders Support Group Hygienist in reviewing cleaning and sanitising methods across … to detail, with good housekeeping skills Highly computer literate in Microsoft packages. Knowledgeable in data management tools such as: Excel macro's, pivot tables, statistical analysis, and Power Bi Health and Safety conscious Experience of investigation processes and writing technical reports 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 »

have arisen during review of submitted client data. Serves as the day-to-day technical contact to address issues or discrepancies with data.Perform advanced statistical analysis, including regression modelling and additional statistical tests using SAS and/or R. Develop customized client reports based on outcomes of … statistical analysis. Additionally, creates new slide templates and SAS code to produce displays for client reports.Generate sales by expanding revenues from existing clients and by leading prospecting efforts with new clients.Lead people through the management and development of staff, including assigning, directing and evaluating work. Hires employees, conduct performance more »

research. Position Summary: The Director of Bioinformatics and Computational Biology will lead a team of computational biologists and data scientists, focusing on cutting-edge statistical learning algorithms and probabilistic modelling. The role involves strategic input on positioning and differentiation of new technologies and leading development through to clinical validation … C, C++, or R). Familiarity with standard software engineering tools (Jira, GitLab/Hub, CI/CD). Understanding of mathematical modeling and statistical analysis of data. Experience using bioinformatics workflow management systems and cloud-based solutions. Experience developing molecular biology workflows. Ph.D. in Bioinformatics, Computational Biology more »

Job summary Dudley Group has an exciting opportunity within its Health Informatics Team, to help the team lead on analysis and insight. The role will hold responsibility for the daily reporting and analytical needs of the hospital, as well as being the lead on specific operational division(s) reporting … and responsibilities that the post holder is required to undertake. Person Specification Qualifications Essential Educated to Degree level 6 or relevant equivalent experience. Desirable Statistical analysis qualification Educated to Master's Degree level 7 or relevant equivalent experience Knowledge and Training Essential Full understanding of NHS Data Definitions 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 »

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 »

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 »