1 to 25 of 61 Statistical Modelling Jobs in the UK excluding London

for different applications, automating cloud operations and cloud deployments Assume responsibility for the architecture of solutions that leverage advanced analytics, data pipelines, web portals, statistical models, Machine Learning and AI, through our technology platform Draw on the strength and experience of a wider team of Solution Architects across Risk more »

into execution quality. Responsibilities: Design, develop, and maintain TCA analytics and tools to assess and optimize trade execution performance across various asset classes. Implement statistical models and algorithms to analyze transaction costs, market impact, and liquidity dynamics. Collaborate with traders and quantitative researchers to identify areas for improvement in more »

DATA SCIENTIST- LOGISTICS £50,000 - 60,000 SHEFFIELD Work a crucial role within a customer focussed team, using predictive modelling and statistical analysis to provide insights that can affect this high growth retailer across their logistics! THE COMPANY A UK renowned retailer within fashion going through a HUGE … SKILLS The successful candidate will have the following skills and experience: Strong SQL and Python with previous experience in data extraction, data manipulation and statistical analysis and model deployment Expert using visualisation tools such as PowerBI or Tableau to provide insights in an aesthetic visual deck Great communicator and … your interest by sending your CV to Gerard Matthews via the apply link on this page. Data Analyst, Data Analytics, SAS, Python, R, Data Modelling, Google Analytics, Adobe Analytics, Coremetrics, GA, AA, Clustering, Propensity Modelling, Segmentation, CRM, CRM Analytics, Marketing Analyst, Insight Analyst, Growth Analyst, Customer Analytics Desired more »

to provide comprehensive recommendations in solution design, business process design, business policy setting, and business metric definition Quantitative and analytical skills (financial analysis, mathematical modelling and statistics, etc.) Ability to dive into the data to determine root-cause Desired ability to understand statistical forecasting models Desired ability to more »

with expert knowledge and experience relating directly to the delivery of this Technology Specialist role. Demonstrate at least 7 years of experience leading simulation, modelling and analytical studies, including one or more of: Discrete Event Simulation; System Dynamics; Agent Based Modelling; Mathematical and Statistical Modelling; Spreadsheet … Modelling; Cost Modelling and Estimation; Mathematical Programming and Optimisation (linear/non-linear optimisation, constraint programming, heuristic optimisation); Kinematic modelling, virtual build simulation/virtual validation and commissioning, 3D modelling; Digital integration such as multi-methods or augmented intelligence. In addition to you specialist field, you … manufacturing industrial application. You will have an in depth understanding/appreciation of the challenges in the adoption of digital technologies in respect to modelling and simulation. Expertise in one or more technologies that contributes towards delivery of Digital Engineerings strategicvision of: virtual manufacturing validation, digitally assisted design, model more »

Nice IEX is preferred. Experience of scheduling and forecasting for back office workload. Understanding of budgeting process and planning cycles. Skilled in data analysis, statistical modelling and interpretation. Excellent knowledge of forecasting algorithms, including explaining best fit. Strong presentation skills across mixed medias. Gaming Industry knowledge is desirable … Presenting forecasts and recommendations appropriately and regularly to stakeholders. Assessing the impact of upcoming change and flags risk to the planning team. Documenting methodologies, modelling specifications and results diligently. Providing and communicating data for capacity planning and recruitment. Converting model outputs and statistics into valuable insights for departments. The more »

a computational perspective, research in the Institute builds and expands upon a variety of methods, from strategies for sequence analysis through to high-dimensional statistical models, machine learning and artificial intelligence. Computational methods developed by groups based at EMBL-EBI are amongst the most widely used by the scientific … approaches to reveal the impact of the environment on human health and physiology, both at the individual and the population level. T heory - using modelling, mathematical reasoning, and conceptual approaches to study complex and dynamic biological systems. You have An aspiration to work on key questions in bioinformatics and more »

Desirable Bachelor’s degree in Mathematics, Computer Science, Computer Engineering, Statistics, or relevant field DP-100, DP-203, DA-100, AZ305 Machine Learning and statistical modelling experience Comprehensive knowledge of the Visual Studio development/SQL Management Studio environments What we offer Competitive salary Great learning and development more »

Senior Data Scientist (5+ years experience) Experience with Python, SQL, Azure & Power BI. A proven track record of applying machine learning methods and applying statistical modelling. Experience leading or mentoring junior team members. MSc/PhD in Data Science, Computer Science, Statistics or related fields. If you meet the more »

will have an appropriate qualification in statistics/mathematics/data analysis or a related STEM subject. What you would be responsible for: Develop statistical modelling Quantifying uncertainty in experimental results and sparse datasets Defining and quantifying the confidence in outputs & analyses Discovering, interpreting and then communicating trends … as the technical lead for junior team members on specific work packages Knowledge of techniques such as regression analysis, design of experiments, time series modelling, Bayesian statistics, extreme value analysis, and set up and analysis of computational experiments Knowledge of machine learning including deep learning techniques Be a member more »

on behavioural, transactional, and demographic data. Provide actionable recommendations to improve customer engagement, satisfaction, and loyalty. Requirements 1-3 years experience in data analysis, statistical modelling, and machine learning techniques. Proficiency in using Dataiku or similar data science platforms for data manipulation and modelling e.g. Alteryx, Microsoft … working with CRM systems. Prior experience in the fashion industry or luxury retail sector is a plus. Inquisitive and curious with a passion for statistical modelling. Details 12-month FTC Start date: ASAP Hybrid working - 3 days in central London office Salary 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 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, consulting in support of existing and new customer sales 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 more »

for seamless user experiences Enhancing search engine logic through machine learning for an optimised search experience Implementing collaborative-filtering approaches for personalised resource recommendations Statistical modelling and forecasting to meet user needs effectively Developing real-time data pipelines to address gaps in our product offering Optimising customer experiences more »

visualisation tools (e.g., Thoughtspot, Tableau, Power BI). Strong understanding of digital marketing platforms (e.g. Google Ads, Facebook Ads) and attribution. Advanced skills in statistical analysis and predictive modeling. Proficiency in SQL (advanced) and experience with programming languages (e.g., Python, R) for data analysis. Experience with DBT and Snowflake more »

Statistics, Data Science, Computer Science or Physics from Russell Group University Proficient in several of the following: Python, MATLAB, C++, R, C# Mathematical and statistical Modelling Quantitative Analysis experience within the sports trading industry is essential Excellent Mathematical skills Analytic mindset If you feel you have the skills more »

tools for investment teams. Required Skills: Advanced knowledge and experience with Python (Pandas, NumPy + more) and SQL Strong background in advanced analytics and statistical modelling Strong analytical and quantitative skills Experience working with large, unstructured data sets Prior experience in the investment management industry, with good knowledge more »

or a related field Strong proficiency in Python and data science stack e.g. Pandas/Numpy/Scikit-learn Experience with data analysis and statistical modeling is a plus Excellent problem-solving skills and ability to work effectively under pressure Experience with C++ is a plus Ability to adapt more »

and analytical skills (financial analysis, mathematical modeling and statistics, etc.) Ability to “dive into” the data to determine root-cause Desired ability to understand statistical forecasting models Desired ability to understand complex manufacturing arrangements such as run-time, line dependencies, multi-constraint environments, and rough-cut capacity planning Presentation 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 culture more »

for different applications, automating cloud operations and cloud deployments Assume responsibility for the architecture of solutions that leverage advanced analytics, data pipelines, web portals, statistical models, Machine Learning and AI, through our technology platform Draw on the strength and experience of a wider team of Solution Architects across Risk more »

for different applications, automating cloud operations and cloud deployments Assume responsibility for the architecture of solutions that leverage advanced analytics, data pipelines, web portals, statistical models, Machine Learning and AI, through our technology platform Draw on the strength and experience of a wider team of Solution Architects across Risk more »

for different applications, automating cloud operations and cloud deployments Assume responsibility for the architecture of solutions that leverage advanced analytics, data pipelines, web portals, statistical models, Machine Learning and AI, through our technology platform Draw on the strength and experience of a wider team of Solution Architects across Risk more »

for different applications, automating cloud operations and cloud deployments Assume responsibility for the architecture of solutions that leverage advanced analytics, data pipelines, web portals, statistical models, Machine Learning and AI, through our technology platform Draw on the strength and experience of a wider team of Solution Architects across Risk more »

for different applications, automating cloud operations and cloud deployments Assume responsibility for the architecture of solutions that leverage advanced analytics, data pipelines, web portals, statistical models, Machine Learning and AI, through our technology platform Draw on the strength and experience of a wider team of Solution Architects across Risk more »

Development/Research experience is ideal Proficient programming skills (Ideally Python or Rust) Strong mathematical background Experience with data science, creating features and improving statistical models. BS or Masters in Computer Science, Engineering, or related quantitative discipline To discuss the role in confidence, please reach out to Rhys at more »