1 to 25 of 847 Statistical Modelling Jobs in the UK

and financial institutions, plan their strategies and future investment with a reliable, consistent and complete understanding of the global landscape. Role Overview: IWSR is expanding its Forecasting, Analytics and Modelling capabilities and seeks a Data Scientist as part of its growing team of data scientists and econometricians. This team is responsible for the production of forecasts and analyticsin collaboration … and modelling. Key Responsibilities: 1. Elevate Forecasts, Analytics, and Models Ensure IWSR's forecasts, analytics, and models are market-leading in quality, relevance, and reliability Approach forecasting, analytics, and modelling challenges with rigor, adaptability, and creativity. 2.Data Analysis and Exploration Support the collection, cleansing, and analysis of data from diverse sources Identify trends, patterns, and actionable insights to drive … decision-making and solve complex business problems. 3. Statistical & Mathematical Modelling and Machine Learning/AI Support the development ofpredictive models, to forecast trends and outcomes Support the development and implementation of machine learning algorithms to address specific business challenges Collaborate with the team to deploy, run, and maintain models in a production environment Evaluate and fine-tune More ❯

and financial institutions, plan their strategies and future investment with a reliable, consistent and complete understanding of the global landscape. Role Overview: IWSR is expanding its Forecasting, Analytics and Modelling capabilities and seeks a Data Scientist as part of its growing team of data scientists and econometricians. This team is responsible for the production of forecasts and analytics in … analytics, and modelling. Key Responsibilities: Elevate Forecasts, Analytics, and Models Ensure IWSR’s forecasts, analytics, and models are market-leading in quality, relevance, and reliability Approach forecasting, analytics, and modelling challenges with rigor, adaptability, and creativity. Data Analysis and Exploration Support the collection, cleansing, and analysis of data from diverse sources Identify trends, patterns, and actionable insights to drive … decision-making and solve complex business problems. Statistical & Mathematical Modelling and Machine Learning/AI Support the development of predictive models, to forecast trends and outcomes Support the development and implementation of machine learning algorithms to address specific business challenges Collaborate with the team to deploy, run, and maintain models in a production environment Evaluate and fine-tune More ❯

in data strategy, data analytics, decision sciences, and data engineering and infrastructure. This position is within our decision sciences practice which focuses on delivering solutions via machine learning and statistical modelling. What you will do As a part of Aimpoint Digital, you will focus on enabling clients to get the most out of their data. You will work with … organization to build value driving solutions that extract insights and then train them on how to manage and maintain these solutions. Typical solutions will utilize machine learning, artificial intelligence, statistical analysis, automation, optimization, and/or data visualizations. As a Lead Data Scientist, you will be expected to work independently on client engagements, take part in the development of More ❯

complex calculations, custom visualizations, and performance optimization. •SQL Development Skills: Mastery of SQL, including the ability to write complex queries, stored procedures, views and perform query optimization. •Programming/Statistical Analysis Skills: Working knowledge of R or Python for analytics, data manipulation, and algorithm development. •Data Warehousing Knowledge: In-depth knowledge of data warehousing principles, dimensional modeling techniques (e.g. … project management methodologies (e.g., Agile, Waterfall) and tools (e.g., JIRA, Confluence). PREFFERED QUALIFICATIONS •Minimum 1+ years of experience supporting a Financial Operations function •Experience in advanced data analytics, statistical modeling, and predictive analytics using tools such as Alteryx, Python, or R; experience with machine learning algorithms and techniques is a plus. •Experience in building and maintaining APIs for More ❯

health conditions and infectious diseases. Work across directorates and with external stakeholders to identify and develop opportunities for product automation and reproducible analyses (includes the automation of epidemiological and statistical models). A background of working with clinical or epidemiological data would be advantageous. All Hazards Intelligence-Global - An all-source intelligence assessment team accredited by the Professional Head … address complex problems and to inform strategic and operational decision making use data ethically and appropriately be innovative and adaptable explore existing and new data using a range of statistical tools and techniques, such as machine learning and predictive analytics find patterns in data and transform them into organisational insight Essential Criteria A first or second-class honours degree … in a numerate discipline, computer science or IT equivalent which demonstrates core statistical skills; OR have worked in a statistical/data science field and are able to demonstrate continuous professional development in statistics/data science at the same level as a foundation degree/HND (Level 5) Ability to apply advanced analytical and statistical techniques More ❯

daily at Coalition. About the role As a Senior Data Scientist at Coalition you will be responsible for measuring, understanding, and helping optimize Coalition’s underwriting. You will perform statistical analysis to provide data-driven insights. You will help us understand and improve our cyber risk selection and reduction, pricing and automation in order to grow our revenue in … meaningful patterns and insights Large scale data analysis with the objective of producing valuable risk signals to be used for underwriting or risk evaluation of organizations Develop and refine statistical and machine learning models to assess cybersecurity risks with applications to underwriting and pricing. Create comprehensive reports on underwriting efficiency metrics and risk selection quality to inform strategic decisions … Apply statistical techniques to evaluate and improve our cyber risk assessment methodology Provide analytical support for underwriting strategies to balance growth with risk management Identify, analyze, and implement opportunities to automate underwriting workflows using advanced analytics and data-driven strategies Collaborate cross-functionally with actuarial, product, and engineering teams to implement data-driven improvements. Lead cross-functional initiatives in More ❯

degree in Statistics, Mathematics, Computer Science, or a related field is preferred. 3-5 years of experience in a data science or analytics role, with proven experience in developing statistical models to drive business impact. 3+ years of A/B testing experience. Demonstrated expertise in machine learning, optimization, and experimentation techniques with large data sets. Expertise in using More ❯

programming skills in Python, with proficiency in data science libraries (NumPy, Pandas, scikit-learn). Experience with SQL for data querying and analysis. Solid understanding of machine learning algorithms, statistical methods, and predictive modeling. Experience with NLP techniques for text analysis, classification, and information extraction. Knowledge of deep learning frameworks such as PyTorch or TensorFlow. Experience with data visualization More ❯

daily at Coalition. About the role As a Senior Data Scientist at Coalition you will be responsible for measuring, understanding, and helping optimize Coalition's underwriting. You will perform statistical analysis to provide data-driven insights. You will help us understand and improve our cyber risk selection and reduction, pricing and automation in order to grow our revenue in … meaningful patterns and insights Large scale data analysis with the objective of producing valuable risk signals to be used for underwriting or risk evaluation of organizations Develop and refine statistical and machine learning models to assess cybersecurity risks with applications to underwriting and pricing. Create comprehensive reports on underwriting efficiency metrics and risk selection quality to inform strategic decisions … Apply statistical techniques to evaluate and improve our cyber risk assessment methodology Provide analytical support for underwriting strategies to balance growth with risk management Identify, analyze, and implement opportunities to automate underwriting workflows using advanced analytics and data-driven strategies Collaborate cross-functionally with actuarial, product, and engineering teams to implement data-driven improvements. Lead cross-functional initiatives in More ❯

blend advanced analytical skills with business acumen to deliver insights that shape strategic decisions and operational excellence. Key Responsibilities Advanced Data Analytics and Predictive Modeling Develop and implement sophisticated statistical models and machine learning algorithms to forecast trends, predict outcomes, and identify opportunities for performance enhancement. Utilize advanced analytics techniques such as regression analysis, time series forecasting, and clustering … or advanced analytics role, preferably in a client-facing environment. Expert-level proficiency in SQL, R or Python, and BI tools (e.g., Power BI, Tableau). Strong understanding of statistical concepts and their practical applications. Demonstrated experience in managing large-scale data projects and implementing BI solutions. Excellent communication skills with the ability to convey complex technical concepts to More ❯

Understand complex business problems and translate them into structured data problems. Capture and explore complex data sets (structured and unstructured data). Prototype models of different complexity (business analysis, statistical models, machine learning) using modern data science tools (Notebooks, Clouds). Design and implement machine learning models, metrics, and application of feature engineering techniques applied to customer problems. Support More ❯

to the planning, execution and delivery of data science projects in a collaborative environment. We expect the role holder to bring relevant expertise and experience in data analysis, including statistical modelling and machine learning, to communicate effectively on progress and results to a variety of audiences. In addition, we expect the job holder to advocate for data-driven … to the planning, execution and delivery of data science projects in a collaborative environment. We expect the role holder to bring relevant expertise and experience in data analysis, including statistical modelling and machine learning, to communicate effectively on progress and results to a variety of audiences. In addition, we expect the job holder to advocate for data-driven … scientific research and technology. What are we looking for? PhD or master’s degree with equivalent relevant experience in Statistics, Computer Science, Mathematics or a related field Experience in statistical modelling and machine learning and their practical applications, driving positive change through data-driven decision making and their applications. Understanding of statistical principles related to sampling, bias More ❯

to the planning, execution and delivery of data science projects in a collaborative environment. We expect the role holder to bring relevant expertise and experience in data analysis, including statistical modelling and machine learning, to communicate effectively on progress and results to a variety of audiences. In addition, we expect the job holder to advocate for data-driven … scientific research and technology. What are we looking for? PhD or master's degree with equivalent relevant experience in Statistics, Computer Science, Mathematics or a related field Experience in statistical modelling and machine learning and their practical applications, driving positive change through data-driven decision making and their applications. Understanding of statistical principles related to sampling, bias … and through written materials to a variety of audiences. What will be your key responsibilities? Execute data science projects in a collaborative environment, taking responsibility for data analysis, including statistical modelling and machine learning, and data management and reporting with a repeatable, interpretable and scalable approach. Work with key stakeholders across the organisation to deliver value-adding data More ❯

Team to develop and apply algorithms to transform raw data into actionable insights. As the Data Analyst you will possess analytical skills, a structured approach to problem solving, and statistical knowledge. Our job is to work alongside the business to develop, test and deploy analytics or software which provide significant insights and improvements to the business. We also develop … the integration, enhancement, and deployment of our analytical suite to give our leadership visibility of how the business is performing to make timely, data-driven decisions. Support with capacity modelling, maintain and develop new and existing forecasting demand models based on business insights research & analysis Owning a project; build engagement, influence relevant stakeholders, and deliver change Work closely with … Lean and Operations teams, playing a crucial role in our journey to operational excellence Participate and support digitisation projects Research and implement new statistical, machine learning and optimization approaches. Understand best practice and keep up to date with trends, new technology and competitor advances. Qualifications/Requirements Bachelors degree from an accredited university of college, or equivalent knowledge and More ❯

Team to develop and apply algorithms to transform raw data into actionable insights. As the Data Analyst you will possess analytical skills, a structured approach to problem solving, and statistical knowledge. Our job is to work alongside the business to develop, test and deploy analytics or software which provide significant insights and improvements to the business. We also develop … the integration, enhancement, and deployment of our analytical suite to give our leadership visibility of how the business is performing to make timely, data-driven decisions. Support with capacity modelling, maintain and develop new and existing forecasting demand models based on business insights research & analysis Owning a project; build engagement, influence relevant stakeholders, and deliver change Work closely with … Lean and Operations teams, playing a crucial role in our journey to operational excellence Participate and support digitisation projects Research and implement new statistical, machine learning and optimization approaches. Understand best practice and keep up to date with trends, new technology and competitor advances. Qualifications/Requirements Bachelors degree from an accredited university of college, or equivalent knowledge and More ❯

Team to develop and apply algorithms to transform raw data into actionable insights. As the Data Analyst you will possess analytical skills, a structured approach to problem solving, and statistical knowledge. Our job is to work alongside the business to develop, test and deploy analytics or software which provide significant insights and improvements to the business. We also develop … the integration, enhancement, and deployment of our analytical suite to give our leadership visibility of how the business is performing to make timely, data-driven decisions. Support with capacity modelling, maintain and develop new and existing forecasting demand models based on business insights research & analysis Owning a project; build engagement, influence relevant stakeholders, and deliver change Work closely with … Lean and Operations teams, playing a crucial role in our journey to operational excellence Participate and support digitisation projects Research and implement new statistical, machine learning and optimization approaches. Understand best practice and keep up to date with trends, new technology and competitor advances. Qualifications/Requirements Bachelors degree from an accredited university of college, or equivalent knowledge and More ❯

engineering, statistics, operational research, data science, or equivalent experience 2+ years work experience in data science, working in a commercial setting or in consulting Experience with Machine Learning and statistical modelling techniques Strong programming skills in R and/or Python Experience applying advanced analytics and Machine Learning to solve business problems Experience with data visualization software/… distributed ML frameworks (TensorFlow, PyTorch, etc.) Familiarity with collaborative software tools (Git, Jira, etc.) Experience with user interface libraries/applications (Shiny, Django, etc.) Experience in developing ML or statistical models in the field of pricing (e.g. price elasticity modelling) or dynamic pricing Domain expertise in pricing, demand forecasting, or time-series data What we offer: Work within More ❯

selection to optimize model performance. • Select and implement appropriate AI/ML algorithms, including supervised, unsupervised, and reinforcement learning models. • Train, evaluate, and optimize models using machine learning and statistical techniques. • Conduct extensive data exploration, analysis, and preprocessing to ensure data quality for AI/ML applications. • Develop and apply data science methodologies to extract insights from large-scale … retrain or refine models as needed. • Collaborate with cross-functional teams to integrate AI/ML models with business applications and systems. • Utilise predictive analytics, time series forecasting, and statistical models to drive business decision-making. • Stay updated on the latest advancements in AI/ML and data science technologies. • Lead and mentor junior team members. • Develop and maintain … NumPy, pandas, scikit-learn). • Proficiency in Python, R, or other relevant programming languages. • Proficiency in working with large datasets, data wrangling, and data preprocessing. • Experience in data science, statistical modelling, and data analytics techniques. • Experience with data analysis and visualization tools (e.g., Matplotlib, Seaborn, Tableau). • Ability to work independently and lead projects from inception to deployment. More ❯

meet future needs. Working with technical and non-technical users to understand user requirements and then mine through unknown databases to locate critical data for advanced analysis such as statistical prediction models Working with Lumentum IT and/or non-IT database owners to establish automated data pipelines that quickly and efficiently extract & transform from multiple sources to create … to factory floor personnel, enabling faster and better-informed decision and actions. Explore, understand and assimilate new data sets from wide variety of sources & systems to support ad hoc statistical analysis, integration into automated data analysis/reporting systems and development of predictive modelling and anomaly detection systems. Communicate results and ideas to key decision makers - ability to … dissect complex analytical models and create understanding with wide array of stakeholders; from customers to design teams. Research and develop statistical learning models and algorithms. Use Lean/Kaizen methods to analyse and improve data and business processes. Minimum Qualifications Bachelor of Science either Computer Science, Applied Mathematics, Statistics or related majors (Masters preferred) 5+ years hands on experience More ❯

analytical initiatives, driving experimentation and optimisation in pricing strategies, significantly influencing our product insights and commercial decision-making. You’ll leverage your expertise in advanced analytics, machine learning, and statistical modelling to derive actionable insights from complex datasets. Key Responsibilities: Analyse large online datasets to uncover valuable insights into consumer behaviour, price elasticity, and revenue optimisation. Collaborate with … data analysis within relevant sectors. Proficiency in SQL, Python, and data science libraries such as sklearn, XGBoost, and CatBoost. Experience with Azure, MLOps, and API frameworks. Strong understanding of statistical methods, probability theory, pricing optimisation, and elasticity modelling. Expertise with data visualisation tools (e.g., Tableau). Exceptional analytical and creative problem-solving skills, with meticulous attention to detail. Excellent More ❯

customers across all our regions and business functions. This is a hands-on junior data scientist role that will work within our CILA Data & AI function. You will apply statistical modeling techniques and machine learning to solve real business problems and derive actionable insights. The purpose of this role is to leverage your strong statistical foundation to develop … and implement models for marketing mix modeling (MMM), incrementality testing, A/B testing, and other business applications. By combining your statistical expertise with practical Python skills, you'll help translate data into business value and drive data-informed decision making throughout the organization. Key Responsibilities Design and implement statistical models to solve specific business problems, particularly in … Develop and optimize marketing mix models (MMMs) to measure effectiveness of marketing channels and campaigns Build incrementality testing frameworks to quantify true business impact of initiatives and interventions Create statistical models for A/B testing and experimentation, ensuring robust methodology and reliable results Collaborate with business stakeholders to understand their needs and translate them into analytical solutions Clean More ❯

optimize our business operations. What's on the Menu? As a Senior Data Scientist , you will be a key contributor on demand forecasting team. You will build and test statistical and machine learning models to accurately predict demand from our retailers. The models you build will be deployed into a production setting where your models will drive value across … feature engineering to extract valuable insights from complex datasets. Develop and implement machine learning algorithms to optimize demand forecasting accuracy and efficiency. Evaluate and fine-tune models by applying statistical methods and running experiments on real-world data. Communicate findings and insights to team members and work with the team to define modeling next steps Recipe for Success: Apply … if it sounds like you! Master's degree in Computer Science, Statistics, Mathematics, or a related field. 2+ years experience with predictive modeling time-series, machine learning, statistical modeling Experience building demand forecast models Proficiency in programming languages such as Python and R, as well as libraries like scikit-learn knowledge on factors that influence shipment demand Proficient in More ❯

data scientists, and software engineers, to support project goals and deliver technical solutions. Will provide analysis of large datasets related to drug efficacy, pharmacokinetics, and other biological data. Develop statistical models, predictive analytics, and visualizations to inform decision-making in drug development. Responsibilities Validate other team members' work via independent programming in R Implement and optimize algorithms for processing … programming activities. Qualifications Bachelor's or Master's degree in Computer Science, Bioinformatics, Statistics, Mathematics, Pharmaceutical Sciences, or a related field Proven experience programming in R, including data manipulation, statistical modeling, and visualization (experience with packages such as ggplot2, dplyr, shiny, tidyr, etc.). Experience working in bioinformatics, pharmacometrics, or computational biology is a plus. Experience with relational databases … to collaborate with other team members and across business units. Strong problem-solving skills and the ability to apply computational methods to complex biological and pharmaceutical problems. Understanding of statistical analysis and predictive modeling techniques. Familiarity with Git for version control and collaborative coding. Familiarity with machine learning approaches and data mining is an advantage. R programming, RStudio, Shiny More ❯

data scientists, and software engineers, to support project goals and deliver technical solutions. Will provide analysis of large datasets related to drug efficacy, pharmacokinetics, and other biological data. Develop statistical models, predictive analytics, and visualizations to inform decision-making in drug development. Responsibilities Validate other team members’ work via independent programming in R Implement and optimize algorithms for processing … programming activities. Qualifications Bachelor’s or Master’s degree in Computer Science, Bioinformatics, Statistics, Mathematics, Pharmaceutical Sciences, or a related field Proven experience programming in R, including data manipulation, statistical modeling, and visualization (experience with packages such as ggplot2, dplyr, shiny, tidyr, etc.). Experience working in bioinformatics, pharmacometrics, or computational biology is a plus. Experience with relational databases … to collaborate with other team members and across business units. Strong problem-solving skills and the ability to apply computational methods to complex biological and pharmaceutical problems. Understanding of statistical analysis and predictive modeling techniques. Familiarity with Git for version control and collaborative coding. Familiarity with machine learning approaches and data mining is an advantage. R programming, RStudio, Shiny More ❯

analytics, economics, finance, engineering, or computer science, or Master's degree. Experience working as a Data Scientist. Experience with data scripting languages (e.g., SQL, Python, R, or equivalent) or statistical/mathematical software (e.g., R, SAS, Matlab, or equivalent). Experience in machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance. … an applied environment. PREFERRED QUALIFICATIONS PhD in a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science. Experience with machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance. Hands-on experience with deep learning (e.g., CNN, RNN, LSTM, Transformer). Prior experience in training and More ❯