51 to 75 of 190 Statistical Modelling Jobs in England

Looker to build scalable, self-serve dashboards and performance reports.Strong working knowledge of Python or R to conduct advanced analysis, automate workflows, and support statistical modeling when needed.Proven ability to build strong stakeholder relationships in a fast paced environment while leading strategic analytics projects, especially measurement frameworks, and synthesize ...

business decisions and operations efficiency through data analytics.Deliver state-of-the-art data analytics and reporting solutions leveraging our commercial, operational and business data.Data modelling for reporting and analytics.Development and deployment of data visualizations and reports for management and internal business partners.Present ideas and solutions to business and technical … Tools.YOUR PROFILE:Demonstrated technical expertise in the following areas: business intelligence tools, design, and development of dashboards and reporting applications, databases, data modelling, ETL processes.The successful candidate will be practiced in the hands-on development of software or analytics solutions.Minimum of 3 years of experience working on projects related ...

driven solutions Demonstrating the value and potential of AI and advanced analytics through workshops, presentations and client engagements Applying modern data science techniques including statistical modelling, NLP, time-series analysis, spatial analysis and mathematical modelling Collaborating with multidisciplinary teams to deliver high-quality solutions in a fast ...

driven solutions Demonstrating the value and potential of AI and advanced analytics through workshops, presentations and client engagements Applying modern data science techniques including statistical modelling, NLP, time-series analysis, spatial analysis and mathematical modelling Collaborating with multidisciplinary teams to deliver high-quality solutions in a fast ...

Data preparation and management: Collect, clean, organise, and structure business data from booking records, customer enquiries, diagnostic reports, and workshop logs. Data analysis and statistical modelling: Analyse trends in workshop capacity, customer behaviour, repeat visits, and vehicle fault patterns using Python and data-analysis tools. Dashboards and data ...

SSIS and ETL best practices within a MS SQL Server environment Familiarity with SSIS error handling, error propagation and email notification Exposure to statistical modeling software (MATLAB, R, SAS, SPSS, Python) and database tools (Amazon Web, SQL, MS Access, Excel PivotTables, MS SQL Server) a plus ...

experience in data science, applied science, or analytics (6+ years with MS/PhD) in an industry settingYou are a proven expert in statistical modeling and experiment design — including A/B testing, quasi-experiments, and causal inference methods (e.g., Pre/Post, causal impact, multivariate, multi-armed bandit ...

deployment.Strong Python programming skills, including object-oriented design and proficiency with key ML libraries (e.g., PyTorch, TensorFlow, Scikit-Learn).Solid understanding of probability and statistical modeling to support robust model development and interpretation.Experience with cloud platforms (especially Azure and/or AWS) and modern deployment practices for scalable ...

establish direction and purpose, and work with Product Directors/VPs to advocate for insights-driven decision-making.What you'll need to succeedProficiency in statistical analysis, data modeling, and data visualization. Ability to interpret complex data sets and translate findings into actionable insights. Experience with data analysis, data modeling ...

enhance decision-making, optimise business processes and unlock new revenue opportunities. Leading projects from concept through to production, you'll apply machine learning, statistical modelling and advanced analytics techniques to solve complex business challenges. You'll also: Lead, coach and develop a team of Data Scientists, supporting their … within a commercial environment and a proven track record of creating value through machine learning and advanced analytics. You'll also have: A strong statistical or highly numerate academic background Advanced skills in Python and SQL Experience developing, deploying and maintaining predictive and machine learning models in production environments ...

techniquesExcellent logical thinking and problem‐solving abilitiesStrong communication skills, with the ability to explain complex concepts clearly to non‐technical audiencesProven experience in statistical modelling and applying data science solutions to real client problemsA passion for connecting technical work to real customer outcomes, delivering clear and measurable impactComfortable ...

logical thinking and problem solving abilities Strong communication skills, with the ability to explain complex concepts clearly to non technical audiences Proven experience in statistical modelling and applying data science solutions to real client problems A passion for connecting technical work to real customer outcomes, delivering clear ...

Quantitative Trading & Research (QTR) is an expert group in J.P.Morgan specializing in statistical modelling, data analytics, balance sheet optimization and other quantitative methods to support the Commercial and Investment Bank (CIB). The QTR Securities Services, Payments and CIB Treasury team applies cutting-edge AI/ML techniques ...

data from the largest real-time fraud detection platform to craft solutions for our enterprise customers. About the role: Your experience with data analysis, statistical modelling, and machine learning will lead to immediate real-world impact in the form of lower customer friction, reduced fraud losses ...

this role are expected to apply knowledge of experimental methodologies, statistics, recommendations, reinforcement learning, optimisation, probability theory, and machine learning, using code for statistical analysis and tool building, using both general-purpose software and statistical languages.The ideal candidate will have endless curiosity and can pair a global mindset … identify and calculate features that can be leveraged by multiple use cases as well as models.Train Machine Learning Models: Use machine learning and statistical modelling techniques such as recommendations, reinforcement learning, decision trees, Bayesian analysis, neural networks and transformers to develop and evaluate algorithms to address business ...

with Generative AI and/or machine learning frameworks (e.g., Langchain) is desirable.ML Algorithms: Strong understanding of machine learning algorithms, deep learning architectures, and statistical modelling techniques.Cloud Platforms: Experience with cloud computing platforms (e.g., AWS, Azure, GCP) and their AI/ML services.Data Engineering: Proficiency in data manipulation ...

with Generative AI and/or machine learning frameworks (e.g., Langchain) is desirable.ML Algorithms: Strong understanding of machine learning algorithms, deep learning architectures, and statistical modelling techniques.Cloud Platforms: Experience with cloud computing platforms (e.g., AWS, Azure, GCP) and their AI/ML services.Data Engineering: Proficiency in data manipulation ...

exciting opportunity for a Junior Data Science Manager to work at the intersection of data science and marketing effectiveness. You will use advanced modelling techniques to influence real business decisions, while continuing to develop both your technical expertise and your ability to communicate complex insights clearly. The Company They … analysis and innovation. They are committed to developing talent and fostering a collaborative, learning-focused environment. The Role Support the delivery of marketing mix modelling projects, owning key components such as data preparation, model execution, and scenario analysis Apply statistical and analytical techniques to solve business problems across ...

Data Scientist. This builds on the knowledge of the Data+ certification and enables you to demonstrate your knowledge in advanced data processing, cleaning, and statistical modelling concepts. You will demonstrate your knowledge of machine learning, industry trends and use of specialised data science applications. You will also apply … mathematical and statistical methods appropriately. Step 5 is not a requirement for our job guarantee as this stage is designed to advance your data career to the next level. Our money back guarantee If after 1 year of passing your formal qualifications, we have been unable to help ...

Data Scientist. This builds on the knowledge of the Data+ certification and enables you to demonstrate your knowledge in advanced data processing, cleaning, and statistical modelling concepts. You will demonstrate your knowledge of machine learning, industry trends and use of specialised data science applications. You will also apply … mathematical and statistical methods appropriately. Step 5 is not a requirement for our job guarantee as this stage is designed to advance your data career to the next level. Our money back guarantee If after 1 year of passing your formal qualifications, we have been unable to help ...

Data Scientist. This builds on the knowledge of the Data+ certification and enables you to demonstrate your knowledge in advanced data processing, cleaning, and statistical modelling concepts. You will demonstrate your knowledge of machine learning, industry trends and use of specialised data science applications. You will also apply … mathematical and statistical methods appropriately. Step 5 is not a requirement for our job guarantee as this stage is designed to advance your data career to the next level. Our money back guarantee If after 1 year of passing your formal qualifications, we have been unable to help ...

Exploring relationships between variables and carrying out feature engineering steps required to support predictive modelling.The postholder will develop and validate predictive models aimed at: Modelling future risk of mental health problems in CYP prior to contact with mental health or social care services. Identifying early signs of existing mental … health problems within routinely collected multi-agency data. Exploring optimal intervention matching based on identified need profiles. Comparing and evaluating traditional statistical approaches (e.g. multi-level regression, generalised linear models, survival analysis) alongside machine learning and AI methods, selecting approaches appropriate to the research question and data structure. Prepare ...

Data Scientist to support the development of innovative solutions for their customers. The Role and Deliverables Design, develop, implement, and maintain pricing optimisation and modelling algorithms. Build predictive models focused on customer behaviour, demand forecasting, and price elasticity. Develop data-driven pricing strategies and recommendations for customers. Partner with … optimisation models into production environments and continuously improve performance based on real-world outcomes. Support customer experimentation through A/B testing and scenario modelling, while communicating insights to stakeholders in a clear and actionable way. Your Skills & Experience Strong experience designing and implementing large-scale pricing optimisation systems. ...

experience with Python and popular AI/ML libraries such as TensorFlow, PyTorch, scikit-learn.Strong understanding of machine learning algorithms, deep learning architectures, and statistical modelling techniques.Experience with cloud computing platforms (e.g., AWS, Azure, GCP or equivalent) and their AI/ML services.Proficiency in data manipulation and analysis ...

reporting tools to track performance and pipeline progressWork with large, complex datasets (grid, weather, project data)Support engineering teams with power systems analysis and statistical modellingApply machine learning techniques for yield prediction and optimisationContribute to technical reports, planning submissions, and investor materialsWhat We’re Looking ForStrong Python skills (pandas ...