126 to 150 of 689 Statistical Modelling Jobs in England

understand large datasets Ability to identify trends & patterns within large datasets Advanced communication skills and stakeholder management skills including working with external clients Willingness to travel Desirable Experience in statistical modelling, and analysis using techniques such as regression analysis, multivariate analysis, factor analysis, and clustering Experience in analysing data in payments platforms including SWIFT, ISO20022 Experience working with More ❯

candidate brings a proven ability to develop data-driven pricing models, proficiency in analytical tools like Excel, SQL, Python, PowerBI, and experience with ERP or pricing. Key skills include: Statistical modelling, forecasting, customer segmentation, and pricing strategy optimisation. Strong communication, collaboration, and problem-solving abilities are essential, along with sharp attention to detail and the capability to manage More ❯

Proficiency in programming languages such as Python, R, or Julia, and experience with ML frameworks like TensorFlow, PyTorch, or Keras Strong understanding of deep learning architectures, neural networks, and statistical modeling techniques Experience with cloud platforms (AWS, Azure, Google Cloud) and MLops tools for model deployment and management Excellent problem-solving skills with a strong ability to identify and … England, United Kingdom 4 days ago London, England, United Kingdom 4 days ago London, England, United Kingdom 1 week ago London, England, United Kingdom 1 week ago Strategy & Business Modelling Consultant London, England, United Kingdom 2 days ago Applied AI/ML Development and Governance Senior Associate London, England, United Kingdom 2 weeks ago London, England, United Kingdom More ❯

the scenario tuning exercise. KEY RESPONSIBILITIES Supporting the definition of Data Insights & Analytics to be leveraged and applied globally. Analysing structured data to identify potential financial crime risks using statistical modelling, segmentation strategies, optimisation algorithms and data mining analyses (regression, predictive). Using advanced data visualisation techniques to provide support to financial crimes investigations. Coordinating with global and More ❯

science methods for measuring the quality of health and social care services, learning from best practice (national/international), both internally and externally. Assess the effectiveness of different advanced statistical and data science modelling approaches and advise data scientists on best tools and approaches to support organisational commitments. Manage competing demands for Data Science work within the Data More ❯

data analysis. Experience We Are Looking For Master's degree or above in mathematics, statistics, or computer science. 3+ years applied experience in business intelligence, data mining, analytics, or statistical modeling in technology or mobile industries OR 2+ years applied experience in data science in mobile market intelligence. Ability to write code that is ready for production (Python and … a project. Ability to come up with a rough project structure from scratch. Ability to critically analyse given data, ask probing questions, and perform own research. Substantial knowledge of statistical modeling techniques. Mastery of one or more statistical visualization or graphing toolkits such as Excel, Jupyter Notebooks, or Google Spreadsheets. #J-18808-Ljbffr More ❯

stakeholders and multiple partner teams across Amazon. As a Data Scientist, you will be responsible for modeling complex problems, discovering insights, and building risk algorithms that identify opportunities through statistical models, machine learning, and visualization techniques to improve operational efficiency. You will leverage your expertise in Machine Learning, Natural Language Processing (NLP), and Large Language Models (LLM) to develop … innovative solutions for Amazon's ISS team. You'll be responsible for modeling complex problems, building innovative algorithms, and discovering actionable insights through statistical models and visualization techniques to enhance operational efficiency in the e-commerce space. The role combines usage of latest AI technology with practical business applications, requiring someone passionate about transforming the way we interact with … complex analytical deep dives to unlock insights and build scalable solutions through Data Science to ensure security of Amazon's platform and transactions. Build Machine Learning and/or statistical models that evaluate the transaction legitimacy and track impact over time. Ensure data quality throughout all stages of acquisition and processing, including data sourcing/collection, ground truth generation More ❯

mechanics. Support ad-hoc requests from stakeholders by conducting exploratory analyses to deepen insights into metrics and trends. Perform A/B testing and other experiments as needed. Define statistical and machine learning methods, establish modeling standards, and drive their development. Collaborate with cross-functional teams to design, implement, and test new and existing products. Create clear, effective deliverables … degree or equivalent in Statistics, Quantitative Sciences, Data Science, Operations Research, or a related quantitative field. Strong ability to manipulate, analyze, and interpret large datasets. In-depth understanding of statistical techniques and concepts (e.g., distributions, hypothesis testing, parametric/non-parametric tests, survey design, sampling theory, experimental design, regression, predictive modeling). Solid knowledge of machine learning techniques (e.g. … clustering, regression, decision trees) and their practical applications and limitations. Experience applying statistical and modeling techniques in real-world scenarios. Proficient in Python (for statistical and ML tools). Proficient in SQL and handling large-scale databases. Comfortable researching and adopting new methods, tools, and techniques. Essential Qualities: Highly accountable self-starter and quick learner, motivated to deliver More ❯

Depending on the role, you may be asked to complete a technical test or problem-solving exercise. Job Description We are seeking a highly qualified Data Scientist with strong statistical and mathematical expertise to drive advanced analytics projects. The ideal candidate will leverage R, Python, and cutting-edge methodologies to extract insights and deliver actionable recommendations that support strategic … decision-making across the organization. Responsibilities Develop, implement, and validate advanced statistical models and machine learning algorithms. Utilize R and Python for data exploration, analysis, and predictive modeling. Collaborate with data engineers and business stakeholders to ensure data readiness and alignment with business objectives. Interpret complex datasets to generate actionable insights and present findings to technical and non-technical … and best practices. Requirements PhD in Mathematics, Statistics, Computer Science, or a related quantitative field. Strong proficiency in R and Python for data analysis and modeling. Solid understanding of statistical methods, machine learning techniques, and data-driven problem-solving. Proven experience working with large datasets and applying advanced analytics in a business context. Fluent in English – both written and More ❯

do not contact us regarding this vacancy. Key Responsibilities: Data-Driven Campaign Management : • Assist in the design, launch, and optimisation of digital paid media campaigns across multiple platforms. • Use statistical and analytical skills to interpret campaign performance data, identify trends, and recommend actionable improvements. Audience Development & AI Integration: • Utilize advanced analytics and machine learning tools to segment and target … maximum ROI and efficiency. • Work closely with the digital marketing team to integrate analytical insights into creative campaign strategies. • Stay current with emerging digital marketing trends, AI innovations, and statistical techniques to continually enhance campaign performance. About you: You might have experience in marketing, digital media, or advertising —whether agency or client-side—and want to build stronger skills … data and analytics. • Recent graduate with a degree in Mathematics, Statistics, Data Science, Economics, or a related field. • Strong quantitative and analytical skills, with experience in data analysis and statistical modelling. • Familiarity with digital marketing platforms and analytics tools (e.g., Google Analytics, Excel, SQL) is a plus. • Excellent problem-solving abilities, with a knack for transforming complex data into More ❯

do not contact us regarding this vacancy. Key Responsibilities: Data-Driven Campaign Management : • Assist in the design, launch, and optimisation of digital paid media campaigns across multiple platforms. • Use statistical and analytical skills to interpret campaign performance data, identify trends, and recommend actionable improvements. Audience Development & AI Integration: • Utilize advanced analytics and machine learning tools to segment and target … maximum ROI and efficiency. • Work closely with the digital marketing team to integrate analytical insights into creative campaign strategies. • Stay current with emerging digital marketing trends, AI innovations, and statistical techniques to continually enhance campaign performance. About you: You might have experience in marketing, digital media, or advertising —whether agency or client-side—and want to build stronger skills … data and analytics. • Recent graduate with a degree in Mathematics, Statistics, Data Science, Economics, or a related field. • Strong quantitative and analytical skills, with experience in data analysis and statistical modelling. • Familiarity with digital marketing platforms and analytics tools (e.g., Google Analytics, Excel, SQL) is a plus. • Excellent problem-solving abilities, with a knack for transforming complex data into More ❯

do not contact us regarding this vacancy. Key Responsibilities: Data-Driven Campaign Management : • Assist in the design, launch, and optimisation of digital paid media campaigns across multiple platforms. • Use statistical and analytical skills to interpret campaign performance data, identify trends, and recommend actionable improvements. Audience Development & AI Integration: • Utilize advanced analytics and machine learning tools to segment and target … maximum ROI and efficiency. • Work closely with the digital marketing team to integrate analytical insights into creative campaign strategies. • Stay current with emerging digital marketing trends, AI innovations, and statistical techniques to continually enhance campaign performance. About you: You might have experience in marketing, digital media, or advertising —whether agency or client-side—and want to build stronger skills … data and analytics. • Recent graduate with a degree in Mathematics, Statistics, Data Science, Economics, or a related field. • Strong quantitative and analytical skills, with experience in data analysis and statistical modelling. • Familiarity with digital marketing platforms and analytics tools (e.g., Google Analytics, Excel, SQL) is a plus. • Excellent problem-solving abilities, with a knack for transforming complex data into More ❯

teams, handling diverse situations with independence and responsibility. Stay up-to-date with technological developments, research, and emerging trends in machine learning, AI, and data science. Apply expertise in statistical modeling, forecasting, optimization, and advanced analytics to address customer needs. Communicate complex data insights clearly and effectively to both technical and non-technical audiences. Work with various datasets, utilizing … tools like R, Python, SQL, and statistical software to derive actionable insights. Contribute to data visualization efforts and support decision-making by translating data into business value. Continuously seek opportunities to expand your role and impact as UiPath grows. What you'll bring to the team Enthusiastic expertise in machine learning, data science, AI, and a passion for innovative … technologies, with experience in R, Python, or similar tools being a plus. Familiarity with relational databases and intermediate-level SQL knowledge. A solid understanding of a broad range of statistical techniques and data analysis methods. Excellent verbal and written communication skills, with the ability to explain complex concepts to non-technical stakeholders. Personal attributes that align with UiPath's More ❯

Experience monitoring and optimizing model performance in production settings. Programming Languages: Strong coding skills in Python and SQL. Experience with Node.js, JavaScript (JS), and TypeScript (TS) is a plus. Statistical Knowledge: Solid understanding of statistical concepts and methodologies for analyzing and interpreting large datasets. Ability to apply statistical techniques to validate models and algorithms. Data Manipulation & Analysis More ❯

for major products or services, shaping our product strategy through data-driven insights. Key job responsibilities include: Independently design and lead quant-focused UX research projects (survey design, implementation, statistical analysis, quant usability, etc.) Triangulate and synthesize survey insights with engagement metrics, live experiment metrics, user logs, and qualitative insights to create compelling narratives and actionable recommendations that drive … development and validation, and applying quantitative methods in business settings Proficiency in experimental and quasi-experimental methods Experience with data analysis packages (R, SAS, Matlab, SPSS, etc.) Mastery of statistical modeling and hypothesis testing Strong skills in R, Python, or similar languages Proficiency with SQL and data visualization tools (e.g., Tableau) Experience with survey sampling strategies and weighting techniques More ❯

techniques to manipulate and analyse large datasets. Design and maintain data pipelines to ensure the integrity and accessibility of critical business data. Provide actionable insights through predictive analytics and statistical modelling. Collaborate with cross-functional teams to align data science initiatives with business objectives. Communicate complex data findings clearly to stakeholders. Stay updated with emerging AI trends and their … applications in the insurance industry. Recommend statistical/machine learning tools and technologies to prototype new concepts. Retrieve and collect open and closed data sources, including data processing, cleansing, and verification. Work with developers to integrate third-party applications where applicable. Serve as the subject matter expert for machine learning techniques, aiding real-world problem solutions. Mentor and coach More ❯

Provide insights through data analyses: - Conduct in-depth analyses of business data to uncover hidden trends, identify growth opportunities, and surface impactful recommendations - Apply advanced analytical techniques, such as statistical modeling and data mining, to derive actionable insights from complex, ambiguous data sets - Translate technical findings into business-focused narratives that resonate with stakeholders 3) Increase productivity by implementing … BASIC QUALIFICATIONS - 5+ years of SQL experience - Experience programming to extract, transform and clean large (multi-TB) data sets - Experience with theory and practice of design of experiments and statistical analysis of results - Experience with AWS technologies - Experience in scripting for automation (e.g. Python) and advanced SQL skills. - Experience with data visualization using Tableau, Quicksight, or similar tools - Business More ❯

biotech to join our early-stage team. Will you be the one? Job Description This role offers an opportunity to apply your expertise in data science, machine learning, and statistical modeling to oncology-focused target identification and drug discovery . You will work with diverse datasets, from different sources including genomics, transcriptomics, proteomics, and high-content imaging data, to … across our Target and Drug Discovery and Precision Medicine R&D teams on a number of exciting projects at Pear Bio. Job Responsibilities Develop and implement machine learning and statistical models for target discovery, drug development and patient response prediction. Collaborate with wet-lab scientists to design experiments and analyze results to inform target and drug discovery efforts. Integrate More ❯

through data-driven insights. Key job responsibilities For this role we are looking for someone who can: * Independently design and lead quant-focused UX research projects (survey design, implementation, statistical analysis, quant usability, etc.) * Triangulate and synthesize survey insights with engagement metrics, live experiment metrics, user logs, and qualitative insights and turn them into compelling narratives and actionable recommendations … and applying quantitative methods to business and industry settings * Proficiency in experimental and quasi-experimental methods * Experience with data analysis package (R, SAS, Matlab, SPSS, etc.) * Demonstrated mastery of statistical modeling and hypothesis testing * Strong skill with R, Python, or similar languages * Proficiency with SQL and data visualization tools (e.g., Tableau) * Experience with survey sampling strategies and weighting techniques More ❯

in Mathematics, Statistics, Computer Science, or a related field. Deep expertise in Python, SQL, and modern data science platforms. Proven experience with Databricks and Lakehouse architectures. Strong grasp of statistical modeling, AI/ML techniques, and cloud-based analytics. Exceptional communication skills—able to simplify the complex for non-technical audiences. A track record of solving complex problems and More ❯

Note that this role requires availability to work later business hours, with a regular schedule ending at 7:00 PM Mon-Thu. What you will do: Design and maintain statistical and machine learning models to optimize campaign performance Model key performance advertising metrics like conversion rates and click through rates, and use those metrics to automate estimation of campaign … can effectively communicate with applied/data scientists, data s analysts, engineers and product managers. You can evaluate, analyze and interpret model results resulting in further improvement of existing statistical model performance You can perform complex data analysis using SQL/Jupyter notebook to find underlying issues and propose a solution to stakeholders explaining the various trade-offs associated More ❯

in a clear and concise manner. Requirements: Master's or PhD degree in a quantitative field. Proven experience of large-scale data analysis and hypothesis testing. Strong proficiency in statistical analysis and predictive modeling. Proficient in Python (pandas, scipy, numpy, scikit-learn) or R (tidyverse/data.table), along with SQL. Excellent problem-solving skills and attention to detail. Strong More ❯

to identify root causes of issues. Scale findings to understand impacts and prioritize accordingly. Conduct data-driven experiments to foster innovation. Perform large-scale analysis using new metrics and statistical models. Basic Qualifications Bachelor's degree in BI, finance, engineering, statistics, computer science, mathematics, or related fields. Experience in data/BI space and SQL. Experience with data visualization More ❯

We are looking for a Senior ML Research Engineer with the following experience: Practical experience with Machine Learning problems, and a familiarity with Classical Machine Learning, Deep Learning and Statistical Modeling techniques Ph.D. in ML, NLP or a relevant field or MSc in CS, ML, Math, Statistics, Engineering, or related fields and previous relevant work experience Proficiency in software More ❯

Graph Algorithms, High-Performance Computing, Logistic Regression Model, Machine Learning (Ml), Master Data Management, Pandas (Python), Python (Programming Language), R (Programming Language), Random Forest Algorithm, Sql (Structured Query Language), Statistical Modeling, Time Series Analysis More ❯