26 to 50 of 92 Permanent Statistical Analysis Jobs in England

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 »

+ 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 »

The Workforce Information Lead has day to day line management responsibilities and will ensure that the team are meeting service priorities. You will lead analysis of the current and future workforce, identifying potential gaps, surpluses and shortfalls, skills mismatches and, working with professional leads, identifying strategies, plans and actions … The Workforce Information Lead has day to day line management responsibilities and will ensure that the team are meeting service priorities. You will lead analysis of the current and future workforce, identifying potential gaps, surpluses and shortfalls, skills mismatches and, working with professional leads, identifying strategies, plans and actions … which aids HR & Payroll, the Board, Senior Management and our end-users. To produce detailed and summarised analytics of all workforce data, undertaking trend analysis, heat mapping, benchmarking and predictive analytics. To be responsible for the alignment of all work structure data with the organisational and financial hierarchies within 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 »

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 »

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 »

complex account in conjunction with business unit and support groups • Leads a team of Associate Analysts, Analysts, or Sr. Analysts to deliver high quality analysis and clear recommendations that create value for clients. Oversees the delivery of consultative recommendations to clients, drawing from information captured from the team and … leveraging prior experience • Ensures consistency of approach, quality of insight, and accuracy of delivery across programs • Oversees descriptive and statistical analysis, qualitative process documentation via interviews, focus groups, and side by side or remote observations, recommendation development, and initiative measurement • Provides technical guidance, answering questions, strategizing analytical framework … and work plan development, checking and validating results and findings, etc. • Communicates results of detailed data analysis in way that ties to business impacts and is compelling to stakeholders and clients • Co-leads internal and external client presentations of key insights, gap assessments, solution recommendations, and initiative success measurement more »

the provision of aseptically prepared intravenous medicines using technical skills, including final check and release of aseptically prepared products. To lead on economical and statistical analysis. Main duties of the job To assist in the provision of aseptically prepared pharmaceuticals (batches and patient specific). To lead on Cost more »

is an AI-powered tool designed to generate initial drafts of Clinical Study Reports (CSRs) that accurately reflect the source material, including the protocol, statistical analysis plan, data tables, and figures. Our tool not only formats tables and figures but also crafts meaningful text around them, highlighting clinically more »

to join One team, One Kroll. RESPONSIBILITIES:Economic modelling assignmentsAssist the project lead on litigation support assignmentsLead on project workstreamsProvide technical economic and quantitative analysis to lawyers in order to help progress casesAssist clients with disputes in the anti-trust/competition, economic regulatory, shareholder and commercial disputes Depending … consultancy, government or corporate. Economic modelling skills are essential. Should be confident working with very large datasets and preferably have a strong understanding of statistical analyses, regression techniques, market modelling and the application of other economic techniques. Knowledge of statistical packages desirable.Comfortable researching economic, market and regulatory events.Excellent 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 »

including complex queries and stored procedures. • Experience with SSIS, SSRS, and SSAS. • Strong understanding of data warehousing concepts, ETL, and data modelling. • Familiarity with statistical analysis, data visualization, data mining, and data transformation. • Power BI certification is a plus. • Proven problem-solving skills and the ability to handle 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 »

currently in an exciting time of growth. THE ROLE As a Customer Analyst, some of your main responsibilities will be: Preparing and presenting compelling analysis findings to the senior management teams. Providing actionable insights of the back of analysis completed on customer and marketing data, using SQL. Own … projects end-to-end and manage the process. Work mainly on customer and marketing data sets looking at; customer LTV, churn, retention, marketing channel analysis, ROI etc. YOUR SKILLS AND EXPERIENCE A successful Customer Analyst will have: Advanced experience of SQL, Tableau/Power BI and R or Python. … Commercial experience carrying out statistical analysis and predictive modelling. Highly numerate with a strong commercial acumen. Educated to a degree level in a STEM subject. THE BENEFITS A salary of £40,000-£50,000. Comprehensive benefits package. Lots of flexible working - remote first. Lots of ownership of projects. more »

that support short term incentives and annual bonus plans as well as associated payments that form part of the annual reward cycle. Provides guidance, statistical analysis, data modelling and cost analysis as and when required. Deliver regular data reports that hold up to date information on the more »

of the BI platform to help build out the road map Collaborate with stakeholders to understand their needs and deliver actionable insights Perform data analysis and data validation to ensure data quality and accuracy Gather business requirements into data models and analytical solutions YOUR SKILLS AND EXPERIENCE To be … Power BI, SQL, SSAS, SSMS, and SSIS for the end-to-end process of data Utilising DAX for data modeling Hands on experience of statistical analysis and its implementation in BI models Extensive experience delivering BI solutions working with the BI stack and providing end-to-end BI 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 »

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 »

role in the firm's expansion into the HFT space. Key Responsibilities: Develop and maintain automated futures and broader market forecasting strategies. Implement advanced statistical and machine learning techniques to identify alpha signals. Engage in the entire research cycle, including data gathering, idea generation, signal implementation, back-testing, and … algorithmic trading, particularly in high-frequency futures (equity or FI). Proficiency in programming languages such as Python, C++, or Java. Strong expertise in statistical analysis, machine learning, and data mining. Excellent problem-solving skills and the ability to think creatively and strategically. Effective communication skills and the 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 »

trends related to analytics and product development. - Ability to work effectively with management and other groups or project teams. - Computer literacy and experience in statistical analysis. - Excellent communication skills. - Good organisational skills. Are you interested or know someone who might be? Reach out to Danielle Hull using the following 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 »

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 »