126 to 150 of 249 Statistical Modelling Jobs in the UK

in data practices You 5+ years' experience in data analysis or marketing analytics, ideally within an agency environment Strong SQL, Excel and Power BI skills; Python or R for statistical modelling and forecasting Deep understanding of marketing performance metrics and KPI frameworks Excellent communicator, able to turn complex data into clear, engaging insight for non-technical audiences Comfortable More ❯

of experience in data analysis and ETL development. Strong proficiency in Teradata SQL and Informatica PowerCenter. Experience building and validating risk models using SAS and Python. Solid understanding of statistical techniques and risk modeling frameworks. Familiarity with data governance and compliance standards. Excellent problem-solving and communication skills. ABOUT CAPGEMINI Capgemini is a global business and technology transformation partner More ❯

of experience in data analysis and ETL development. Strong proficiency in Teradata SQL and Informatica PowerCenter. Experience building and validating risk models using SAS and Python. Solid understanding of statistical techniques and risk modeling frameworks. Familiarity with data governance and compliance standards. Excellent problem-solving and communication skills. ABOUT CAPGEMINI Capgemini is a global business and technology transformation partner More ❯

of experience in data analysis and ETL development. Strong proficiency in Teradata SQL and Informatica PowerCenter. Experience building and validating risk models using SAS and Python. Solid understanding of statistical techniques and risk modeling frameworks. Familiarity with data governance and compliance standards. Excellent problem-solving and communication skills. ABOUT CAPGEMINI Capgemini is a global business and technology transformation partner More ❯

of experience in data analysis and ETL development. Strong proficiency in Teradata SQL and Informatica PowerCenter. Experience building and validating risk models using SAS and Python. Solid understanding of statistical techniques and risk modeling frameworks. Familiarity with data governance and compliance standards. Excellent problem-solving and communication skills. ABOUT CAPGEMINI Capgemini is a global business and technology transformation partner More ❯

of experience in data analysis and ETL development. Strong proficiency in Teradata SQL and Informatica PowerCenter. Experience building and validating risk models using SAS and Python. Solid understanding of statistical techniques and risk modeling frameworks. Familiarity with data governance and compliance standards. Excellent problem-solving and communication skills. ABOUT CAPGEMINI Capgemini is a global business and technology transformation partner More ❯

and research teams. 6 Month rolling contract - multi-year renewals Up to £950 per day, INside IR35 Hybrid working: 2 days in office LDN Python, R, Data Analysis, Stat Modelling, Grafana, Metals Experience is a MUST Essential Skills for this Quant Developer role: Extensive Python or R experience Extensive Data Analysis and Statistical Modelling experience Experience with More ❯

and research teams. 📍6 Month rolling contract – multi-year renewals 💸 Up to £950 per day, INside IR35 🚂 Hybrid working: 2 days in office LDN 💻 Python, R, Data Analysis, Stat Modelling, Grafana, Metals Experience is a MUST Essential Skills for this Quant Developer role: Extensive Python or R experience Extensive Data Analysis and Statistical Modelling experience Experience with More ❯

and research teams. 📍6 Month rolling contract – multi-year renewals 💸 Up to £950 per day, INside IR35 🚂 Hybrid working: 2 days in office LDN 💻 Python, R, Data Analysis, Stat Modelling, Grafana, Metals Experience is a MUST Essential Skills for this Quant Developer role: Extensive Python or R experience Extensive Data Analysis and Statistical Modelling experience Experience with More ❯

and research teams. 📍6 Month rolling contract – multi-year renewals 💸 Up to £950 per day, INside IR35 🚂 Hybrid working: 2 days in office LDN 💻 Python, R, Data Analysis, Stat Modelling, Grafana, Metals Experience is a MUST Essential Skills for this Quant Developer role: Extensive Python or R experience Extensive Data Analysis and Statistical Modelling experience Experience with More ❯

and research teams. 📍6 Month rolling contract – multi-year renewals 💸 Up to £950 per day, INside IR35 🚂 Hybrid working: 2 days in office LDN 💻 Python, R, Data Analysis, Stat Modelling, Grafana, Metals Experience is a MUST Essential Skills for this Quant Developer role: Extensive Python or R experience Extensive Data Analysis and Statistical Modelling experience Experience with More ❯

and research teams. 📍6 Month rolling contract – multi-year renewals 💸 Up to £950 per day, INside IR35 🚂 Hybrid working: 2 days in office LDN 💻 Python, R, Data Analysis, Stat Modelling, Grafana, Metals Experience is a MUST Essential Skills for this Quant Developer role: Extensive Python or R experience Extensive Data Analysis and Statistical Modelling experience Experience with More ❯

Job Description Summary In this role, you will understand complex and critical business problems, formulates integrated analytical approach to mine data sources, employ statistical methods and machine learning algorithms to contribute solving unmet medical needs in neuroscience, discover actionable insights and automate process for reducing effort and time for repeated use. Moreover, you will manage the implementation and adherence … The Role As a Senior Principal Data Scientist in the Advanced Quantitative Scientists group you will be responsible for the discussion and implementation of data science and high-dimensional modelling methodologies applied to patient-level data (including various biomarker, clinical and outcomes data) across clinical development in Neuroscience. You will combine your data science and AI skills and your … neuroscience. Good understanding of clinical study design principles and basic familiarity working with clinical data in a clinical trial (GxP) setting. Strong knowledge and understanding of (multivariate implementations of) statistical methods such as time to event analysis, machine learning, meta-analysis, mixed effect modelling, longitudinal modelling, Bayesian methods, variable selection methods (e.g., lasso, elastic net, random forest More ❯

support clients in interpreting analytical results. Build algorithms applicable across varied use cases and markets. Key Skills & Experience Strong experience interfacing directly with customers. Background in data science , including statistical modelling, machine learning, or applied analytics. Proficiency in Python for data analysis, modelling, and cloud application development. Exposure to automotive systems, electrification, or battery applications . Additional More ❯

support clients in interpreting analytical results. Build algorithms applicable across varied use cases and markets. Key Skills & Experience Strong experience interfacing directly with customers. Background in data science , including statistical modelling, machine learning, or applied analytics. Proficiency in Python for data analysis, modelling, and cloud application development. Exposure to automotive systems, electrification, or battery applications . Additional More ❯

user interface, or streamlining and automating data refresh processes. What you'll be working on Building and improving price optimisation machine learning pipelines including data validation, classification, clustering, predictive modelling, neural networks, statistical model evaluation, optimisation, and process automation. Preparing presentations for clients based on data and market insights Interacting with clients on a regular basis and providing … pricing guidance based on data insights R&D of new modelling algorithms, optimisation methodologies and process improvements Supporting business development activities including involvement in new client pitches What we're looking for Strong academic background with a minimum bachelor’s or master’s degree in a STEM subject (Mathematics, Computer Science or Engineering) Experience working in a data science More ❯

user interface, or streamlining and automating data refresh processes. What you'll be working on Building and improving price optimisation machine learning pipelines including data validation, classification, clustering, predictive modelling, neural networks, statistical model evaluation, optimisation, and process automation. Preparing presentations for clients based on data and market insights Interacting with clients on a regular basis and providing … pricing guidance based on data insights R&D of new modelling algorithms, optimisation methodologies and process improvements Supporting business development activities including involvement in new client pitches What we're looking for Strong academic background with a minimum bachelor’s or master’s degree in a STEM subject (Mathematics, Computer Science or Engineering) Experience working in a data science More ❯

user interface, or streamlining and automating data refresh processes. What you'll be working on Building and improving price optimisation machine learning pipelines including data validation, classification, clustering, predictive modelling, neural networks, statistical model evaluation, optimisation, and process automation. Preparing presentations for clients based on data and market insights Interacting with clients on a regular basis and providing … pricing guidance based on data insights R&D of new modelling algorithms, optimisation methodologies and process improvements Supporting business development activities including involvement in new client pitches What we're looking for Strong academic background with a minimum bachelor’s or master’s degree in a STEM subject (Mathematics, Computer Science or Engineering) Experience working in a data science More ❯

user interface, or streamlining and automating data refresh processes. What you'll be working on Building and improving price optimisation machine learning pipelines including data validation, classification, clustering, predictive modelling, neural networks, statistical model evaluation, optimisation, and process automation. Preparing presentations for clients based on data and market insights Interacting with clients on a regular basis and providing … pricing guidance based on data insights R&D of new modelling algorithms, optimisation methodologies and process improvements Supporting business development activities including involvement in new client pitches What we're looking for Strong academic background with a minimum bachelor’s or master’s degree in a STEM subject (Mathematics, Computer Science or Engineering) Experience working in a data science More ❯

a good understanding of architecture, security, and scaling Hands-on experience with Docker and Kubernetes in real-world engineering workflows Solid grasp of ML fundamentals: supervised/unsupervised learning, statistical modelling, evaluation A pragmatic approach to engineering capable of balancing speed, risk, and delivery in complex environments Excellent communication and collaboration skills, especially in client-facing settings Prior More ❯

a good understanding of architecture, security, and scaling Hands-on experience with Docker and Kubernetes in real-world engineering workflows Solid grasp of ML fundamentals: supervised/unsupervised learning, statistical modelling, evaluation A pragmatic approach to engineering capable of balancing speed, risk, and delivery in complex environments Excellent communication and collaboration skills, especially in client-facing settings Prior More ❯

a good understanding of architecture, security, and scaling Hands-on experience with Docker and Kubernetes in real-world engineering workflows Solid grasp of ML fundamentals: supervised/unsupervised learning, statistical modelling, evaluation A pragmatic approach to engineering capable of balancing speed, risk, and delivery in complex environments Excellent communication and collaboration skills, especially in client-facing settings Prior More ❯

a good understanding of architecture, security, and scaling Hands-on experience with Docker and Kubernetes in real-world engineering workflows Solid grasp of ML fundamentals: supervised/unsupervised learning, statistical modelling, evaluation A pragmatic approach to engineering capable of balancing speed, risk, and delivery in complex environments Excellent communication and collaboration skills, especially in client-facing settings Prior More ❯

a good understanding of architecture, security, and scaling Hands-on experience with Docker and Kubernetes in real-world engineering workflows Solid grasp of ML fundamentals: supervised/unsupervised learning, statistical modelling, evaluation A pragmatic approach to engineering capable of balancing speed, risk, and delivery in complex environments Excellent communication and collaboration skills, especially in client-facing settings Prior More ❯

a good understanding of architecture, security, and scaling Hands-on experience with Docker and Kubernetes in real-world engineering workflows Solid grasp of ML fundamentals: supervised/unsupervised learning, statistical modelling, evaluation A pragmatic approach to engineering capable of balancing speed, risk, and delivery in complex environments Excellent communication and collaboration skills, especially in client-facing settings Prior More ❯