1 to 25 of 104 Remote Statistical Modelling Jobs

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 ❯

crime across the NHS. Further information about our work and annual plan for delivering this is available on our website. The Data Scientist role requires expertise in machine learning, statistical analysis, anomaly detection, and strong communication and collaboration skills. Key responsibilities include developing innovative models, designing, applying, and optimising models in a dynamic environment. The role is critical in … project planning, using data to drive business objectives, and defining project directions to achieve financial targets. With a deep understanding of data science, including machine learning, predictive modelling, and deep learning, the Data Scientist will tackle complex challenges and extract actionable insights from diverse datasets. They will lead model development and ensure solutions meet business and government standards. The … NHSCFA goals, ensuring accountability for innovative outcomes. Utilising the latest advanced methods, they will embed analytics into the organisation to enhance fraud detection within the NHS. Clear communication of statistical outputs and results to non-technical stakeholders is crucial, influencing decisions like criminal intervention, policy changes, or risk metrics based on data-driven insights. The role demands adherence to More ❯

crime across the NHS. Further information about our work and annual plan for delivering this is available on our website. The Data Scientist role requires expertise in machine learning, statistical analysis, anomaly detection, and strong communication and collaboration skills. Key responsibilities include developing innovative models, designing, applying, and optimising models in a dynamic environment. The role is critical in … project planning, using data to drive business objectives, and defining project directions to achieve financial targets. With a deep understanding of data science, including machine learning, predictive modelling, and deep learning, the Data Scientist will tackle complex challenges and extract actionable insights from diverse datasets. They will lead model development and ensure solutions meet business and government standards. The … NHSCFA goals, ensuring accountability for innovative outcomes. Utilising the latest advanced methods, they will embed analytics into the organisation to enhance fraud detection within the NHS. Clear communication of statistical outputs and results to non-technical stakeholders is crucial, influencing decisions like criminal intervention, policy changes, or risk metrics based on data-driven insights. The role demands adherence to More ❯

crime across the NHS. Further information about our work and annual plan for delivering this is available on our website. The Data Scientist role requires expertise in machine learning, statistical analysis, anomaly detection, and strong communication and collaboration skills. Key responsibilities include developing innovative models, designing, applying, and optimising models in a dynamic environment. The role is critical in … project planning, using data to drive business objectives, and defining project directions to achieve financial targets. With a deep understanding of data science, including machine learning, predictive modelling, and deep learning, the Data Scientist will tackle complex challenges and extract actionable insights from diverse datasets. They will lead model development and ensure solutions meet business and government standards. The … NHSCFA goals, ensuring accountability for innovative outcomes. Utilising the latest advanced methods, they will embed analytics into the organisation to enhance fraud detection within the NHS. Clear communication of statistical outputs and results to non-technical stakeholders is crucial, influencing decisions like criminal intervention, policy changes, or risk metrics based on data-driven insights. The role demands adherence to 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 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 ❯

vital for leveraging our law enforcement client's data holdings to develop innovative insights, predictive models, and business solutions. The ideal candidate will have experience working with unstructured data, statistical modeling, and advanced data analytics to drive decision-making and enhance operational effectiveness. Develop and support AI/ML models for data analysis, focusing on the accuracy, authenticity, expectancy … timeliness, relevancy, and viability of intelligence data. Conduct advanced data integration and statistical analysis to identify patterns, trends, and intelligence gaps. Innovate by deriving investigative, statistical, and predictive value from our clients extensive data sources. Prepare, clean, and manage big data sets, design data models, and develop robust databases to support AI-driven business solutions. Tackle complex technical … using state-of-the-art techniques and industry knowledge. Deploy, validate, and manage various types of data models including supervised, unsupervised, and deep learning models. Perform advanced mathematical and statistical modeling to organize, optimize, and predict trends from both structured and unstructured data. Validate and improve machine learning models with rigorous statistical techniques to ensure high accuracy and More ❯

1+ Years of Experience working on Analytics and Business Intelligence focused initiatives, preferably in a consulting capacity. 1+ Years of Experience using Python, R, or other languages to build statistical models or analyze data. 1+ Years of Experience in creating complex SQL queries and functions, data structures and strong analytical problem-solving skills. 1+ Years Experience working with various More ❯

credit models to ensure they continue to operate as expected. Key accountabilities. Analysis & Investigation: Undertake and guide junior data scientists in various complex data analyses, investigations and/or modelling of business issues to improve the management, services and products of the bank; Digital protection: Access/utilise bank data within the policies and frameworks required by AIB; Predictive … What you Will Bring. 3 years' experience in a model development, model monitoring or model validation role. Examples include IRB; IFRS 9; loss forecasting; stress testing or economic capital modelling; propensity modelling; or a combination thereof. A bachelor's degree in a quantitative analytical discipline (2.1 or higher), e.g. mathematics, applied mathematics, physics, statistics, engineering, econometrics. (Confirmation will … SAS or SQL programming - an equivalent level in an alternate programming language would be considered (e.g. R, Python, Matlab). Advanced experience in extracting, transforming, and cleaning data for modelling purposes. Familiarity with data visualisation tools such as QlikView, Power BI, SAS VA or Tableau. Experience writing technical documents that meet internal and regulatory standards. Experience in engagement with More ❯

strategies, and collaborate with researchers and developers to deliver outstanding results. Key Responsibilities Perform advanced analysis of survey data from market and social research projects using a range of statistical and data science techniques. Interpret briefs from senior stakeholders and independently build out appropriate solutions. Apply and develop statistical models (e.g. regression, segmentation, predictive analytics, etc.) and data … Requirements: Education: A Master's or PhD in a relevant discipline (e.g. Sociology, Political Science, Economics, Psychology, Social Policy, Public Health, Marketing) or other social science fields with strong statistical training and survey research components. Experience: Demonstrated experience working with survey data in market research, commercial research, or applied social research settings. Strong proficiency in R (required) and working … knowledge of Python (preferred). Familiarity with legacy statistical software such as SPSS, Stata, or SAS is welcome. Proven ability to: Apply inferential statistics and econometric techniques Conduct regression modelling and data wrangling Apply machine learning methods (e.g. clustering, decision trees) Work with structured datasets and survey designs Experience or interest in AI and large language models (LLMs More ❯

of the UK's fastest-growing retailers. You'll work at the heart of our Data & Analytics team, collaborating cross-functionally and mentoring others while driving innovation through experimentation, modelling, and automated decisioning. If you thrive in a fast-paced, insight-led environment and want your work to drive real change, we'd love to hear from you. At … how we target and segment consumers for targeted offers and promotions - Interrogate large volumes of data from a range of sources (online, customer verbatims, transactional etc) to use for modelling - Build predictive models to support business decision making - Build prescriptive tools (automated decisioning) with measurable commercial value - especially improving our marketing ROI - Lead the proactive and reactive support for … their analytical skills Qualifications - Experience in customer data/analytics, ideally within the retail industry. - Strong predictive analytics background, preferably in customer marketing - Strong expertise in data analysis and statistical modelling. Experience of data science and machine learning techniques. - Significant experience and strength in data visualisation and storytelling - able to communicate complexity in a straightforward and visually engaging manner More ❯

similar analytics role (gaming, betting, or consumer apps is a big plus) Strong skills in SQL, Python or R, and data visualisation tools (e.g., Tableau, Power BI) Experience with statistical analysis, predictive modelling, and segmentation techniques Understanding of user behaviour analytics, retention metrics, and A/B testing Bonus: Experience with fraud detection or risk analytics Strong attention 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 ❯

may be available for exceptional candidates. The ideal candidate will have a minimum of 5 years' experience in data science or a related field, with extensive knowledge of advanced statistical analysis and machine learning algorithms. Proficiency in Python, R, and SQL is essential. As a Senior Data Scientist, you will play a key role in developing data solutions that … valuable insights from complex datasets, develop advanced machine learning models, and drive data-driven decision-making across the organisation. Main Duties Design and implement sophisticated machine learning algorithms and statistical models to solve complex business problems Collaborate with cross-functional teams to identify opportunities for data-driven solutions and improvements Develop and maintain scalable data pipelines for efficient data … best practices and standards for data science workflows within the organisation Qualifications Minimum of 5 years of experience in data science or a related field Extensive knowledge of advanced statistical analysis and machine learning algorithms Proficiency in programming languages such as Python, R, and SQL Familiarity with database management systems, experience of cloud-based systems such as Snowflake Expertise More ❯

1+ Years of Experience working on Analytics and Business Intelligence focused initiatives, preferably in a consulting capacity 1+ Years of Experience using Python, R, or other languages to build statistical models or analyze data 1+ Years of Experience in creating complex SQL queries and functions, data structures and strong analytical problem solving skills Experience working with various self-service 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 ❯

not Limited To: Proven experience in data analysis, database management, and data visualization. Strong programming skills in languages such as Python, R, and SQL. Experience with machine learning and statistical modeling techniques. Familiarity with data visualization tools such as Tableau or Power BI. Excellent communication and presentation skills, with the ability to translate complex data insights for non-technical 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 ❯

with a range of teams, networks and product owners across the organisation to embed principles. 4. Providing specialist advice, guidance and thought leadership across the NHSBSA on:a. complex statistical, modelling and analytical matters.b. the ethical collection, sharing and use of data throughout the organisation. 5. Developing frameworks and resources to support identifying, collecting, monitoring, assuring and reporting … across the organisation to embed principles. Including but not limited to Information Governance, Data Governance, Data Platforms, Data & Analytics Communities, Heads of Service, Inclusion Accessibility and Social Impact Lead, Statistical Publication Lead, Data Science & Advanced Analytics Lead and Open Data Lead. 5. Provides specialist advice, guidance and thought leadership across the NHSBSA on: a. complex statistical, modelling … to have an error (e.g. serious reputational, financial or legal consequences) b. Algorithm Transparency Recording Standard (ATRS) and completing returns for Central Digital and Data Office. These are algorithmic, statistical or analytical tools that either: 1. have a significant influence on a decision-making process with public effect, or2. directly interact with the general public. 7. Undertakes reviews of More ❯

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 ❯

answer business questions and address business problems. Experience with requirements collection, use case assessment, design reviews and troubleshooting. Understanding of and ability to apply advanced analysis techniques such as statistical functions, statistical models, what if analysis, predictive analytics and machine learning. Knowledge of R or Python a plus. Experience with BI platforms on AWS a plus. Prior experience 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 ❯

gameplay analysis, computer vision or video stream analysis. Proven experience with machine learning frameworks such as Python, NumPy, TensorFlow, or PyTorch. Strong understanding of data analysis, signal processing, and statistical modeling. Experience with video processing and understanding of game streaming technologies is a plus. Problem-Solving Skills: Excellent analytical and problem-solving abilities. Communication Skills: Strong ability to communicate More ❯

This is a hands-on analytical role combining customer analytics, data science, and strategic insight. You’ll take ownership across a blend of traditional customer analytics and more advanced statistical modelling projects, supporting fast feedback loops across marketing performance, churn, forecasting, and member engagement. The role offers scope to grow into either a strong individual contributor role or … Responsibilities Analyse customer behaviour across the platform to support commercial growth and marketing optimisation. Deliver pre- and post-campaign analysis, segmentation work, and ongoing performance tracking. Build and deploy statistical models such as linear regression, clustering, forecasting, and advanced A/B tests. Work closely with ML Engineers, commercial teams, and senior stakeholders to translate insight into business action. … both technical and non-technical stakeholders across the business. Skills & Experience Essential: Strong experience in customer analytics, data science, or advanced analytical modelling. Hands-on experience using Python for statistical analysis and modelling. Advanced SQL skills for data extraction and manipulation. Experience applying statistical methods such as linear regression, KMM, forecasting models, and experimentation. Strong communication skills with More ❯

and e-commerce leaders to offer flexible, branded financing to their merchant bases through a cutting-edge software. The Role Perform in-depth portfolio-level credit risk analysis using statistical methods and data modelling Monitor and evaluate customer segment performance to identify risk trends and opportunities Contribute to the design and enhancement of credit risk policies, pricing models … presenting technical results to non-technical stakeholders Excellent attention to detail and analytical problem-solving Desirable Skills Experience in SME lending environments Familiarity with Python for data manipulation and modelling Salary & Benefits Base salary between £60,000 and £80,000 Annual bonus up to 15% Stock options Private medical insurance (Vitality) Enhanced maternity and paternity leave Employee Assistance Programme More ❯