76 to 100 of 100 Statistical Modelling Jobs in England

Mathematical Consultant/Statistical Consultant HYBRID or REMOTE UK Mathematical Consultant Smith Institute Oxfordshire, England, United Kingdom (Remote) Mathematical/Statistical Consultants (up to Senior Level) About Smith institute: Born from rocket science, the Smith Institute uses advanced mathematics, AI and data science to help customers do some … work, meaning we have opportunities for a broad spectrum of mathematical and wider STEM skillsets and expertise at Smith Institute. Smith Institute uses mathematical modelling and computation to bring fresh thinking to the challenges faced by our clients across business and industry. We are at the forefront of the … weather on consumer demand, and verifying the integrity of multi-billion-dollar spectrum auctions. About you * Would you like to use your mathematical and statistical expertise to address some of the most challenging problems in business and industry? * Are you excited to design and build solutions in data science more »

ROI analysis, synthesising recommendations, and presenting to senior executives Pragmatism; understanding of when analysis is good enough to finish Statistically literate, competent with some statistical testing or modelling techniques Here’s a flavour of what our analysts have been up to this week: Worked with design and product 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 respective more »

anomalies, and opportunities in financial markets. Optimize and enhance existing trading algorithms to improve performance, execution speed, and risk management. Utilize advanced mathematical and statistical techniques to analyze market data, build predictive models, and generate insights. Stay abreast of industry trends, academic research, and emerging technologies in quantitative finance … in languages such as Python, C++, Java, or R, with a strong emphasis on object-oriented programming and algorithm development. Proficiency in quantitative analysis, statistical modeling, time series analysis, and data visualization. Experience with quantitative libraries and frameworks such as NumPy, SciPy, pandas, TensorFlow, or PyTorch. Familiarity with financial more »

in data processing, alpha generation, and strategy implementation, contributing to profit generation across a range of trading strategies. Key Responsibilities: Conduct research using classical statistical methods and modern machine learning techniques to identify and develop new trading strategies. Analyze large datasets to uncover patterns and insights that can drive … or finance-related discipline is a strong bonus. Strong programming skills in languages such as Python, R, or C++. Experience with data analysis and statistical modeling. Familiarity with machine learning frameworks and techniques. Excellent problem-solving abilities and attention to detail. Ability to work both independently and collaboratively in more »

marketing performance of our client’s business more strategically. Efficiently query and analyse data across multiple SQL databases. Initiate impactful analytics projects, generate actionable statistical insights and translate them into business recommendations. Collaborate closely with the clients and wider team of strategists, account managers, and other specialists. Support and … while collaborating closely with the clients and wider team. Query and manipulate data from a variety of sources, and explore the data with rigorous statistical methods (including building models where needed). Conduct regular reporting, automate processes and create reproducible code and documentation. Support the business in implementing solutions … Skills . Query, manipulate and join data from databases with reproducible code (e.g. SQL, Python, R, etc) Conduct rigorous exploratory data analysis with appropriate statistical methods in code (e.g. Python or R) – knowledge of linear models is a bonus. Listen to clients deeply to understand the business problem first more »

business decisions, as well as software and product development activities. What you’ll do: Support data extraction and analysis for clients Build and review statistical models to predict customer behaviour as risk and demand. Develop and implement pricing strategies. Synthesize and communicate strategic recommendations to key internal and client … RFP responses, proposals, presentations, and other technical sales support as needed. You’ll do it using: Experience in the analytical world - data science, BI, statistical, or economic consulting Good working knowledge of modern data science analytical tools: Python, R, etc. Excellent communication, writing, and interpersonal skills Willingness and flexibility more »

charges across gas and power Propose ongoing changes to rates based on a deep understanding of cost methodologies and analysis of underlying assumptions. Use statistical models to extrapolate assumptions into the future based on past and future trends Engage with pricing team to ensure pricing systems are updated timely … and judgment to plan and accomplish goals Proficient in the use of Excel (necessity) as well as working knowledge of SQL, Power BI and statistical tools such as Python (desired more »

capabilities. Job requirements: Experience in pricing optimisation and demand forecasting. Analytical skills to transform complex data into actionable insights aligned with business KPIs. Strong statistical and modelling skills, including time series and ensemble models. Experience in manipulating and interpreting data from disparate sources. Proficient in Python coding and 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 … 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 forecasting too Full ownership and decision making for their projects … 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 London more »

the role: Experience with the use of BI software packages such as Tableau Prep & Desktop. Understanding and experience of the use of mathematical and statistical tools. Advanced Microsoft Excel and PowerPoint skills. Experience in implementing technically complex activities, particularly of a reporting or analytical nature. Proven success in sharing … complex technical knowledge across multiple senior stakeholder groups. Experience of elements of statistical and financial modelling and performance analysis. Proven track record of balancing work on multiple projects simultaneously. Experience of tools such as data mining, quantitative analysis, cluster analysis, pattern recognition and correlation discovery. Highly developed interpersonal more »

in the first instance starting 4th November 2024. Main duties of the job The successful candidate will be involved in cutting edge research utilising statistical and machine learning models for biomarker discovery, contributing to the advancement of Food allergy. This project will be carried out under the supervision of … strongly proactive, knowledgeable and able to solve complex problems with strong data management skills and a high degree of proficiency with one or more statistical software (e.g., R, Matlab, Python). You should also have experience preparing oral and written reports of research findings. Relevant training and development will … be encouraged both internally and through identifying relevant external courses and seminars. Essential requirements You must hold a PhD in Bioinformatics, Statistical Genetics, Statistics or an equivalent subject, or be nearing PhD completion. Experience with the analysis of omics data Proficiency with R, Matlab or Python 2-3 years more »

Typical Daily Duties: Develop visualisation and analytical dashboards using Looker BI tool. Assist in data preparation, cleansing, and summarization of reports. Test and evaluate statistical models, identifying anomalies and data gaps. Collaborate with team on project support and client data review. Research and implement Python-based solutions for data … analysis and machine learning tasks. Desired Skills, Qualities, and Experience: Passion for data and self-development. Proficiency in Excel and basic statistical concepts. Organized and mature with strong teamwork skills. Excellent written and verbal communication. GCSE Grade C/4 in English and Maths is required for this role more »

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 … 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 modelling at a professional level. Proven track record of collaborating within cross-functional product more »

Science function. We don’t need someone to have already worked within the Private Equity space, but a clear interest in Investing and strong statistical background (which has been utilised in a commercial setting for a few years) are necessary. Responsibilities Develop and deploy innovative ML & statistical models … conduct wider research into market impact. Requirements Several years working in a commercial setting as a Data Scientist. MSc/PhD in a highly statistical subject area. Production level Python coding skills. End to End Data Science experience is preferable, ideally including algorithmic deployment on the Azure cloud stack … serverless). Strong communication skills Time Series knowledge is a big advantage Previous Private Equity, Investment, or Financial Modelling experience is a bonus. If this role interests you and you would like to find out more, please apply here or contact us via niall.wharton@Xcede.com (feel free to include more »

analytics to support the model development process as a data analyst. The wider team are responsible for developing, implementing, and executing a range of statistical and econometric models that support the bank’s wholesale and divisions. This role will support the efforts of capital (AIRB) and IFRS9 models and … or preparing meeting minutes, reporting on process and control environment and managing control remediation activities • Leading the delivery of regulatory-compliant data for credit modelling • Delivering change that enhances the efficiency or effectiveness of Credit Insight and Analytics analytical outputCandidates could come from a variety of backgrounds, most likely … credit modelling, credit risk, credit data or similar. Key skills needed – understanding of the credit modelling process and the data requirements for the same, good technical skills (Python/SAS/SQL/AWS), some experience working on projects either as an SME or BA.Our client is committed more »

analytics to support the model development process as a data analyst. The wider team are responsible for developing, implementing, and executing a range of statistical and econometric models that support the bank’s wholesale and divisions. This role will support the efforts of capital (AIRB) and IFRS9 models and … or preparing meeting minutes, reporting on process and control environment and managing control remediation activities • Leading the delivery of regulatory-compliant data for credit modelling • Delivering change that enhances the efficiency or effectiveness of Credit Insight and Analytics analytical outputCandidates could come from a variety of backgrounds, most likely … credit modelling, credit risk, credit data or similar. Key skills needed – understanding of the credit modelling process and the data requirements for the same, good technical skills (Python/SAS/SQL/AWS), some experience working on projects either as an SME or BA.Our client is committed 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 »

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 »

to join their growing team on an exciting journey to support the development of advanced therapeutics addressing critical healthcare challenges. You will lead advanced modelling methods, with a focus on generating novel target recommendations, validating them in models, and translating them into therapeutics. Principal Computational Biologist key responsibilities: – Lead … the ‘advanced modelling’ workstreams, and be the point of contact and a role model for advanced modelling within the company. – Maintain strong domain knowledge of leading ‘omic and ‘big data’ computational methods – Drive experimental design & modelling of phenotyping and/or omics data in close collaboration with … together best-in-class Drug Discovery, Drug Development, Product & Project Management capabilities. – Routinely use Python/R for data analyses, in particular data wrangling, modelling and visualisation. – Develop solutions to increase automation, reliability and scalability of our data processing pipelines and workflows. – Lead, co-develop, and run pipelines in more »

optimise processes for the purification of biopharmaceutical products. - Understanding of GMP and QbD considerations in a large scale manufacturing environment. - Understanding and experience with statistical and modelling software and tools. - Understanding of in-process assays such as qPCR, ELISA, HPLC, plate-based spectrometric assays. - Analytical mindset and problem more »

in their ability to create new strategies both independently and with team collaboration  A strong background in mathematics and statistics, with good knowledge of statistical models and signal generation  Proficiency in back-testing, simulation, and statistical techniques  Data-mining skills paired up with data analysis skills. Previous experience more »

role is embedded within the business, partnering with researchers to design and build models in scalable code and implement them into a cutting-edge modelling and analytics infrastructure. The framework will feed the models huge volumes of alternative datasets and in doing so, accurately track and capitalize on the … 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 »

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 »

Summary As agreed and directed by the Senior Manager, the Technical Data Analyst will: Support the TSI team with the provision of data and statistical analyses and/or modelling for awarding purposes, as required, working closely with Leads and Specialists; Be able to manipulate, analyse and interpret … complex data sets of examination data including statistical and psychometric analyses of outcomes and performance, with guidance as necessary. Gain a good understanding of qualifications, their structure such as weighting and scaling measures, and other aspects of results delivery, for example, aegrotat calculations. Translate and present data in a more »