176 to 200 of 306 Statistical Modelling Jobs in the UK

Primary Details Time Type: Full timeWorker Type: EmployeeServe as modelling and data science partner for assigned business areas responsible for the scientific integrity of work products, including study design, research methodology, and deployment of statistical approaches and modelling Data Scientist - Fixed term until July 2026 London/Hybrid The Opportunity: Join a high-impact pricing and data More ❯

of German credit risk practices and regulation Advanced SQL skills; comfort working with large datasets Analytical mindset and strong communication skills Bonus: experience with Python , credit scoring systems, or statistical modelling 🎯 Why Apply: Join a dynamic, fast-growing fintech with international scale Ownership of high-impact credit initiatives Great benefits, bonus, stock options, and a modern Central London More ❯

of German credit risk practices and regulation Advanced SQL skills; comfort working with large datasets Analytical mindset and strong communication skills Bonus: experience with Python , credit scoring systems, or statistical modelling 🎯 Why Apply: Join a dynamic, fast-growing fintech with international scale Ownership of high-impact credit initiatives Great benefits, bonus, stock options, and a modern Central London More ❯

Demonstrable experience working either as a product lead or in a related role, with a track record delivering on a variety of complex data-driven projects. Experience working with statistical models and algorithms. Experience with simulation and analysis tools in the built environment. Ability to research, horizon-scan and validate new ideas and technologies. Self-awareness, an open mind More ❯

Demonstrable experience working either as a product lead or in a related role, with a track record delivering on a variety of complex data-driven projects. Experience working with statistical models and algorithms. Experience with simulation and analysis tools in the built environment. Ability to research, horizon-scan and validate new ideas and technologies. Self-awareness, an open mind More ❯

Demonstrable experience working either as a product lead or in a related role, with a track record delivering on a variety of complex data-driven projects. Experience working with statistical models and algorithms. Experience with simulation and analysis tools in the built environment. Ability to research, horizon-scan and validate new ideas and technologies. Self-awareness, an open mind More ❯

Demonstrable experience working either as a product lead or in a related role, with a track record delivering on a variety of complex data-driven projects. Experience working with statistical models and algorithms. Experience with simulation and analysis tools in the built environment. Ability to research, horizon-scan and validate new ideas and technologies. Self-awareness, an open mind More ❯

Demonstrable experience working either as a product lead or in a related role, with a track record delivering on a variety of complex data-driven projects. Experience working with statistical models and algorithms. Experience with simulation and analysis tools in the built environment. Ability to research, horizon-scan and validate new ideas and technologies. Self-awareness, an open mind More ❯

Demonstrable experience working either as a product lead or in a related role, with a track record delivering on a variety of complex data-driven projects. Experience working with statistical models and algorithms. Experience with simulation and analysis tools in the built environment. Ability to research, horizon-scan and validate new ideas and technologies. Self-awareness, an open mind More ❯

contributions in the world of sports analytics. Key responsibilities for the role of Data Scientist include: Collect, clean, and process football-related data from various sources. Develop and implement statistical models and algorithms to analyze player performance and match outcomes. Create detailed reports and visualizations to communicate insights and recommendations to technical and non-technical stakeholders. Collaborate with football … industry experience in a Data Science role and a strong academic background Python Data Science Stack: Advanced proficiency in Python , including pandas , NumPy , scikit-learn , and Jupyter Notebooks . Statistical & ML Modelling: Strong foundation in statistical analysis and proven experience applying a range of machine learning techniques to solve business problems (e.g., regression, classification, clustering, time-series … to non-technical stakeholders. Highly desirable skills include: Football Analytics Domain: Significant plus if experienced with football datasets (event, tracking, etc.) and visualization libraries like mplsoccer . Advanced MLOps & Modelling: Deeper experience with the Vertex AI lifecycle (especially Pipelines ) and advanced modelling techniques relevant to football (player valuation, tactical analysis). Bayesian Modelling: Experience with probabilistic programming 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 ❯

large datasets from various sources to uncover insights and patterns. Collaborate with cross-functional teams to understand business objectives and translate them into new data products Perform data mining, statistical analysis, and predictive modelling to drive business decisions. Build data architecture and pipelines to support data products Build predictive models for various business applications (e.g., Research Pricing, recommendation … technical and non-technical stakeholders. Knowledge, Skills and Experience Required Minimum of 3 years of hands-on experience in data product development. Strong understanding of data structures, algorithms, and statistical concepts. Proficiency in Python and ETL frameworks Deep knowledge of data pipeline architectures and products such as Snowflake or similar Experience with delivering data products to clients via APIs More ❯

s strategy. We are looking for a well-established Data Scientist at all levels who wants new challenges. As a Senior Data Scientist, you will work using data engineering, statistical, and ML/AI approaches to uncover data patterns and build models. We use Microsoft tech stack, including Azure Databricks (Pyspark, python), and we are expanding our data science … to work closely with business stakeholders, data engineers, marketing analysts and BI analysts to improve our existing models, create new models, and bring our expertise. Core Responsibilities Apply advanced statistical techniques and ML/AI models to development and production environments Collaborate with team members and stakeholders to build data science products that enable others to make business decisions … Qualifications Postgraduate degree in a relevant discipline (e.g. STEM, Maths, Statistics, Physics) or equivalent experience Good data modelling, software engineering knowledge, and strong knowledge of statistical, mathematical and ML modelling are a must at this stage. Skilful in writing well-engineered code Proven experience working with ML engineers and production systems (including Cloud platforms) Proven ability to More ❯

Primary Details Time Type: Full time Worker Type: Employee Serve as modelling and data science partner for assigned business areas responsible for the scientific integrity of work products, including study design, research methodology, and deployment of statistical approaches and modelling Data Scientist - Fixed term until July 2026 London/Hybrid The Opportunity: Join a high-impact pricing More ❯

Stay hands-on with Python and modern data science tools (pandas, scikit-learn, etc.). Requirements Proven experience leading end-to-end data science projects. Expertise in machine learning, statistical modelling, and optimisation. Strong coding skills (Python, cloud platforms, ML frameworks). Ability to communicate complex ideas to both technical and non-technical stakeholders. Leadership experience or a More ❯

robust monitoring and alerting systems to maintain data health and accuracy Define KPIs and thresholds in collaboration with technical and non-technical stakeholders Develop and productionise machine learning and statistical models (Python, PySpark) Deploy monitoring solutions on AWS infrastructure Create scalable frameworks for future monitoring needs Investigate anomalies and ensure quick resolution of issues in the data pipeline Advocate More ❯

robust monitoring and alerting systems to maintain data health and accuracy Define KPIs and thresholds in collaboration with technical and non-technical stakeholders Develop and productionise machine learning and statistical models (Python, PySpark) Deploy monitoring solutions on AWS infrastructure Create scalable frameworks for future monitoring needs Investigate anomalies and ensure quick resolution of issues in the data pipeline Advocate More ❯

and compliance strategies. Experience in Enterprise AI Design, focusing on scalable, secure, and cost-effective AI integration. Understanding of data science principles, enabling informed evaluation of machine learning and statistical models. What you'll receive from us: No matter where you may be in your career or personal life, our benefits are designed to add value and support, recognizing More ❯

production Strong Python and SQL skills, with a solid understanding of data wrangling, feature engineering and model evaluation Deep understanding of the data science process-comfortable with exploratory analysis, statistical testing, and model comparison techniques Experience with structured prediction problems (e.g. regression, classification, ranking) using real-world, often messy data Familiarity with advertising systems (Google Shopping, PMAX, etc.) and More ❯

range of actuarial-related areas. The Role As a Machine Learning Operations Engineer with XPS you will: Model development. Work collaboratively with actuarial analysts to develop machine learning and statistical models to predict outcomes, related to pension schemes, such as life expectancy, default risk, or investment returns. Identify appropriate machine learning algorithms and apply them to enhance predictions, automate … decision-making processes, and improve client offerings. Machine Learning Operations. Responsible for designing, deploying, maintaining and refining statistical and machine learning models using Azure ML. Optimize model performance and computational efficiency. Ensure that applications run smoothly and handle large-scare data efficiently. Implement and maintain monitoring of model drifts, data-quality alerts, scheduled r-training pipelines. Data Management and … quality. Software Development. Write clean, efficient and scalable code in Python. Utilize CI/CD practices for version control, testing and code review. Work closely with actuarial analysts, actuarial modelling team (AMT) and other colleagues in XPS to integrate data science findings into practical advice and strategies. Stay abreast of new trends and technologies in Data Science technologies and More ❯

big data" sources to generate actionable insights. Build databases and is responsible for the curation of Data, including experimental data management. Extracting knowledge, insights and predictions from data using statistical methods, machine learning and data visualization. Work with scientists to identify optimal ways to prepare, annotate, store and navigate their datasets, including data application design and improvement. Define and … Biology, Chemistry, Computer Science, Physics, etc. Relevant work experience in either an academic or industry setting. Working knowledge of cell biology and experience in large scale data analysis and statistical modeling on datasets like RNA-seq, ATAC-seq, protein network, pathways, etc. Proven track record of completed scientific projects as evidenced by publications and preprints. Strong breadth and expertise … in Statistical analysis, machine learning, data visualization, programming (Python, R, etc.), data cleaning and data manipulation. Tools: Python, R, SQL, TensorFlow, Scikit-learn, Tableau, Power BI. Ability to generate high quality ideas and be self-driven to explore. Strong experience in programming and comfortable modifying existing code-base. Experience with Python, R data cleaning and data manipulation or other More ❯

Business, Geography) Good inter-personal skills and the ability to communicate technical results to non-technical individuals Experience in presenting reports and conclusions The ability to distil conclusions from statistical outputs Good understanding of Excel Good understanding of Microsoft PowerPoint Knowledge of, and interest in, the retail sector Ideally you will also have: Exposure to and/or appreciation … of GIS software and its applications Understanding of statistical modelling techniques Knowledge of BI dashboard tools such as PowerBI or Tableau We are committed to creating a diverse environment and are proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, colour, religion, gender, gender identity or expression, sexual More ❯

Cloud Workflows, and Cloud Composer. Strong SQL development skills. Proven expertise in data modeling, ETL development, and data warehousing. Knowledge of data management fundamentals and storage principles. Familiarity with statistical models or data mining algorithms and their application to business problems. What's in it for you The salary range for this role is £45,000 - £50,000. This More ❯

best practices Command line familiarity, git, automated testing, modern software development best practices Docker, terraform, CI/CD Experience with financial data (equity securities)Experience with traditional ML/statistical models You'll have the opportunity to experience a dynamic role where no two days are the same. You will be working with a diverse group of smart, passionate More ❯

development of new offerings, and deepen our understanding of marketplace dynamics. This role involves advanced data mining and analytics, robust product and data validation, and the development of sophisticated statistical and machine learning-based methodologies. The ideal candidate will have a strong ability to independently research, develop, and maintain high-impact solutions that align Cint’s capabilities with market … and existing products, as well as to understand, analyze, explain, and predict the impact of platform algorithms on clients and partners. Define, establish, and drive the development of advanced statistical and machine learning methods, setting modeling standards and best practices. Conduct exploratory analyses to deepen insights into key metrics and trends, and lead the design and execution of A … equivalent) in Statistics, Quantitative Sciences, Data Science, Operations Research, or a related quantitative field. Strong ability to manipulate, analyze, and interpret large, complex datasets independently. Deep understanding of advanced statistical techniques and concepts (e.g., properties of distributions, hypothesis testing, parametric/non-parametric tests, survey design, sampling theory, experimental design, including multivariate testing, regression/predictive modeling, causal inference More ❯