76 to 100 of 110 Statistical Modelling Jobs in the UK

cost analysis and dealing with stakeholders A multidisciplinary approach to mechanical, electrical, and chemical engineers' environment's product design and development Methods and analysis - statistical methodologies, Statistical analysis, modelling and simulation The Candidate Understanding of engineering processes, in particular systems engineering Critical thinker Experience of engineering design 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 team … 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 … 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 »

LEAD DATA SCIENTIST £60,000 – 75,000 LEICESTER 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! THE COMPANY A UK renowned retailer within fashion going through a HUGE digital transformation and … successful candidate will have the following skills and experience: Strong SQL/R/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 more »

remote role for a Data Science Manager at Creative.ai. The Data Science Manager will be responsible for leading a team of data scientists, conducting statistical modeling and analysis, and utilizing data science techniques to drive strategic decision-making and improve marketing campaign performance. The Data Science Manager will also … be involved in data analytics and leveraging statistical and analytical skills to uncover insights. Qualifications Statistical Modeling, Statistics, and Analytical Skills Data Science and Data Analytics Experience in leading and managing a team Strong problem-solving and critical thinking abilities Proficiency in programming languages such as Python or more »

Global Product team. About the Project/Role The key area of focus for the role is the development and improvement of mathematical and statistical models demonstrating different data sets both at panel level and at census level. These will include Kantar’s internally owned data and data from … frequency estimates for highly granular and accurate viewing insight, without the limitations of panel sizes. Job Role Requirements Design and refine machine learning and statistical models to improve their performance and adaptability. Develop prototypes of statistical and machine learning models in Python, ensuring they integrate seamlessly into existing … deploying models into production environments efficiently. Conduct thorough data investigations to ensure the quality and completeness of datasets and oversee quality control measures for modelling outcomes. Actively engage in team knowledge-sharing sessions and deliver presentations to discuss findings, insights, and methodologies across the team and broader organisation. Role more »

environment. Well versed in scalable data mining and machine learning techniques (using computers to improve as well as develop algorithms)Kernel Methods, Deep Learning, Statistical Relational Learning, Ensemble Methods Model using advanced statistical/mathematical models, predict and segment data to hypothesize/evolve uses cases to monetize more »

environment. Well versed in scalable data mining and machine learning techniques (using computers to improve as well as develop algorithms)Kernel Methods, Deep Learning, Statistical Relational Learning, Ensemble Methods Model using advanced statistical/mathematical models, predict and segment data to hypothesize/evolve uses cases to monetize more »

environment. Well versed in scalable data mining and machine learning techniques (using computers to improve as well as develop algorithms)Kernel Methods, Deep Learning, Statistical Relational Learning, Ensemble Methods Model using advanced statistical/mathematical models, predict and segment data to hypothesize/evolve uses cases to monetize more »

funding, they're now looking at scaling their team as their client base and products expand. **Responsibilities:** - Analyze complex datasets using advanced analytical and statistical methods to uncover trends, patterns, and relationships. - Develop and deploy machine learning models for predictive and prescriptive analysis. - Create algorithms and statistical models more »

My client is committed to sizable increases on any base salary alongside market-leading bonuses. Key Responsibilities will include: · Develop and maintain the risk modelling, pricing, and analytics suite to enable effective decision making by Risk, Portfolio Managers, and the Investment Committee · Assist Risk Managers to identify, evaluate and … 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 others more »

performance. Collaborate closely with cross-functional teams including Operations, Logistics, and IT to understand business requirements and develop innovative solutions. Utilize your expertise in statistical modeling, machine learning, and time series analysis to extract insights from large-scale datasets and drive data-driven decision-making. Continuously monitor and refine … abreast of industry trends and best practices. REQUIREMENTS: Strong proficiency in programming languages such as Python or R, with experience in data manipulation and statistical analysis. Solid understanding of forecasting methodologies including time series analysis, regression, and machine learning algorithms. Previous experience working in supply chain or logistics analytics more »

Responsibilities include: Interacting with and influencing business and finance customers to gather, calculate and present data. Supporting with input forecasting using trend analysis and statistical modeling to drive decision making. Be responsible for the Production Planning as well as cost and service optimization Building short/medium and long … as recommendations to senior leaders Experience in quantitative research or analyses Experience in program/project management Experience working with SPSS, SAS or other statistical software packages Experience utilizing SQL Advanced Excel and Access skills Preferred qualifications Analysis experience in Advanced Planning & Optimization Systems, or Enterprise Resource Planning Systems more »

Statistics Consultancy 4 days office, 1 day WfH Up to £70,000 + bonus Our client is a leader in the field of developing statistical models and analytical frameworks for sports, predominantly football. Their models are utilised by media, sports clubs, bookmakers, traders and syndicates, to make data driven … ability to predict match outcomes. This role involves working with other data scientists, software engineers and sports experts to research ways in which the modelling approaches can be improved, and then turning those insights into practical modelling solutions that can deploy to production. About you Strong Python experience … to identify and fix data quality issues & perform initial exploratory data analysis Interest in sports and betting/prediction/probability problems Experience with statistical analysis and predictive modelling - you don’t need to be an expert in any one area, but you need to know what techniques more »

to present the data clearly and efficiently to support business decisions Experience with BI Visualization tools (Tableau/Looker) - must have. Advanced knowledge in statistical tools and models (R, SAS, advanced statistical tools) - Advantage Great communication skills – you have full professional English skills and can clearly describe data more »

Specification Qualifications Essential Foundation level degree or equivalent in an IT or numerate related subject or equivalent qualification/experience. Desirable Qualified in a statistical discipline or have experience of applying statistical model to complex problems. Knowledge and Understanding Essential Good working knowledge and experience in the effective more »

cell RNA-seq data, spatial transcriptomics data, bulk RNA-seq data to evaluate effects of gene perturbation on cell models Involvement in experimental design & modelling of deep phenotyping or omics data in close collaboration with wet-lab scientists. Work as a member of cross-functional teams bringing 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 a cloud … for instance lncRNAs) Experience in building and deploying pipelines (e.g. Nextflow) for data science Skills & Competencies Required Deep understanding of human biology beyond the statistical/ML models being developed Good knowledge with rapidly prototyping, writing and maintaining Python and/or R code, harnessing statistical tools for more »

Have programming experience (essential) with one or more of R, Python, or SQL and proven ability to manipulate and prepare data for analytics and statistical modelling. Able to communicate complex technical concepts to specialist/non-specialist audiences and demonstrate impact from data science and analytics work. Is passionate … about using customer data & statistical/technical expertise to help businesses understand customer behaviour and take action. A positive, can-do attitude and a proactive approach; a great team player. What you’ll get for this role: Our purpose - with you today, for a better tomorrow – is a promise 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 »

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 »

from conceptualization to deployment and monitoring. Proficiency in Cloud ML solutions, with hands-on experience in Docker and Kubernetes . A deep understanding of statistical modeling and analysis . Expertise in Python , along with familiarity with essential ML tools and libraries. Experience with ML experiment tracking and collaboration tools … flow, Kedro, etc. Proficiency in pipeline orchestration with tools like Airflow, Kubeflow, and Argo . Exceptional communication skills, with the ability to articulate complex statistical concepts clearly. Personal Competencies: A results-oriented professional with a fervent passion for innovation and a self-motivated, proactive approach. Exceptional organizational skills, fluent more »

industries. We expect our analysts to come with brains as standard – so you will understand analytics, have experience with coding languages, have experience building statistical/data science models & used visualization tools - but we look for curious individuals that have a passion for data and analytics, that want to … You will be involved in all stages of the analytical process from spec'ing out what data you may need, data cleansing, visualising data, modelling and delivering the final results. You will work with the client team as you go through the project – from gaining domain knowledge, regular updates … stages from data gathering to final delivery 2+ years of experience in an analytical role Advanced knowledge of SQL, R or Python Data science modelling experience Experience working with (very) large and messy datasets. Knowledge of relational database design concepts Code automation and optimization. Additional Information Dentsu is an more »

external sources Organize, cleanse, and validate raw data to prepare for analysis Perform exploratory analysis to uncover patterns, anomalies, and relationships in data using statistical modeling and data visualization tools Develop insightful reports, presentations, and dashboards to concisely summarize analysis and effectively communicate findings Make recommendations for business process … from various business areas Requirements: 3+ years professional experience as a Data Analyst, Business Analyst or related quantitative role Strong grasp of data structuring, statistical modeling and analytics tools SQL ,PL/SQL(MUST) and Python programming skills (Optional); experience building data pipelines Knowledge of visualization and business intelligence more »

Manages conflict in a constructive and culturally appropriate way. Has the courage to assert own view and challenge appropriately •Data analysis: Techniques that include, statistical process control, reliability modelling and prediction, fault tree analysis •Common Vision: Understands and contributes to the business vision and strategy. Aligns work to more »

models and pipelines for the clients devices. Implementing and optimising pre-processing pipelines. Collaborating with software engineers to integrate models into production systems. Conducting statistical analysis/modelling on clinical trial data to assess device performance. Drafting technical documentation for regulatory compliance. Ensuring best practice in regard to … data management, version control and model documentation. You will bring the following: Strong statistical expertise. Image processing/computer vision skills. Proficiency in modelling multivariate problems. Ability to develop algorithms from data analysis. Proficient in Python programming for data manipulation. Desirable - Commercial software development experience. Desirable - Exposure to more »

impact of the models for the different liquidity metrics. Provide Management and business partners with ad-hoc liquidity analysis and forecasts Competencies Knowledge of statistical and mathematical modelling approaches of balance sheet management ; Knowledge of Treasury (structure, functions, profit planning and growth) and financial product and hedging; Knowledge more »