1 to 25 of 55 Remote Statistical Modelling Jobs

alongside senior leadership in a collaborative environment. This position sits within a growing Analytics and Insights team of four, focusing on the technical side of customer data analysis including statistical modelling, machine learning models, and data visualisation tools such as Power BI. You will manage extensive survey programmes, including over 1,000 customer surveys annually and transactional surveys … to better understand tenant needs, with the ultimate goal of making tenants' lives easier through data-driven service improvements. Key Responsibilities: Design and manage comprehensive customer survey programmes, ensuring statistical robustness and regulatory compliance with TSM requirements Process and analyse large datasets using statistical modelling techniques and machine learning approaches to uncover meaningful customer insights Translate complex … enabling the business to better understand different tenant groups and tailor services accordingly Work closely with the Analytics and Insights team to contribute to strategic decision-making through predictive modelling and trend analysis Essential Requirements: Translate data and present findings with strong storytelling abilities, capable of simplifying complex analysis into actionable business insights Demonstrate strong presentation skills and create More ❯

key part of the team's remit will be to gain buy-in from stakeholders for new ways of doing things. What you'll be doing Building and validating statistical models to support business decisions, in line with regulatory requirements. Researching the best techniques for the given purpose and coordinating with others to determine a model specification. Delivering analytical …/statistical modelling and data analysis to support the development of the bank's models Inputting into the scoping, design, development, validation and implementation of models Clearly defining problem statements and researching and testing innovative solutions to address these Documenting the process and outcome of your analysis and model development to support internal review, stakeholder engagement and change … proposals Reviewing existing models to demonstrate continued performance and identify potential enhancements to the modelling suite. We need you to have Strong analytical skills with a good degree in a numerate discipline subject (e.g. statistics, engineering, econometrics) Familiarity of a wide variety of advanced machine learning and AI modelling techniques with some experience of applying them, ideally in More ❯

Data Analyst - Manchester - Hybrid Working - Up to £47,000 A leading public sector organisation is seeking a Transport Modelling & Data Analytics Analyst to join a dynamic team shaping the future of transport across the North of England. This role sits within a specialist technical function focused on data analytics, modelling, and economic planning, supporting nationally significant programmes and … regional investment strategies. As part of a multi-disciplinary team, you'll contribute to the development and application of transport models, undertake geo-spatial and statistical analysis, and support evidence-based decision-making. You'll play a key role in delivering analytical services to support strategic transport planning, including the Department for Transport's Integrated Rail Plan. Responsibilities: Deliver … technical services and manage analytical workstreams to meet stakeholder needs. Develop and apply strategic transport models, including variable demand modelling. Conduct statistical modelling, trend analysis, and bespoke data analytics. Analyse survey data and integrate diverse datasets to generate actionable insights. Use GIS software for spatial analysis and visualisation. Create repeatable scripting and batching processes to streamline data workflows. More ❯

Data Analyst - Manchester - Hybrid Working - Up to £47,000 A leading public sector organisation is seeking a Transport Modelling & Data Analytics Analyst to join a dynamic team shaping the future of transport across the North of England. This role sits within a specialist technical function focused on data analytics, modelling, and economic planning, supporting nationally significant programmes and … regional investment strategies. As part of a multi-disciplinary team, you'll contribute to the development and application of transport models, undertake geo-spatial and statistical analysis, and support evidence-based decision-making. You'll play a key role in delivering analytical services to support strategic transport planning, including the Department for Transport's Integrated Rail Plan. Responsibilities: Deliver … technical services and manage analytical workstreams to meet stakeholder needs. Develop and apply strategic transport models, including variable demand modelling. Conduct statistical modelling, trend analysis, and bespoke data analytics. Analyse survey data and integrate diverse datasets to generate actionable insights. Use GIS software for spatial analysis and visualisation. Create repeatable scripting and batching processes to streamline data workflows. More ❯

us We have an exciting opportunity for a Data Scientist to join our rapidly growing Sports Forecasting & Analytics company. Purpose of the role As a Data Scientist within the Modelling & Data Engineering department, you will play a key role in the design, development, and implementation of predictive models that power our sports forecasting products. You will work collaboratively within … a sport-specific team to develop robust, scalable models, contribute to the research and development of new modelling methodologies, and ensure our forecasts remain accurate, low-latency, and aligned with client demands. You will be expected to use your programming, analytical, and mathematical skills to extract insights from data, build high-performance modelling pipelines, and help improve modelling … someone with a strong foundation in data science who is looking to make a meaningful impact in a high-performance, fast-paced environment. Key responsibilities Design, build, and maintain statistical or machine learning models to support sports forecasting and pricing across various markets. Extract actionable insights from large-scale sports datasets using sound mathematical and statistical principles. Translate More ❯

us We have an exciting opportunity for a Data Scientist to join our rapidly growing Sports Forecasting & Analytics company. Purpose of the role As a Data Scientist within the Modelling & Data Engineering department, you will play a key role in the design, development, and implementation of predictive models that power our sports forecasting products. You will work collaboratively within … a sport-specific team to develop robust, scalable models, contribute to the research and development of new modelling methodologies, and ensure our forecasts remain accurate, low-latency, and aligned with client demands. You will be expected to use your programming, analytical, and mathematical skills to extract insights from data, build high-performance modelling pipelines, and help improve modelling … someone with a strong foundation in data science who is looking to make a meaningful impact in a high-performance, fast-paced environment. Key responsibilities Design, build, and maintain statistical or machine learning models to support sports forecasting and pricing across various markets. Extract actionable insights from large-scale sports datasets using sound mathematical and statistical principles. Translate More ❯

us We have an exciting opportunity for a Data Scientist to join our rapidly growing Sports Forecasting & Analytics company. Purpose of the role As a Data Scientist within the Modelling & Data Engineering department, you will play a key role in the design, development, and implementation of predictive models that power our sports forecasting products. You will work collaboratively within … a sport-specific team to develop robust, scalable models, contribute to the research and development of new modelling methodologies, and ensure our forecasts remain accurate, low-latency, and aligned with client demands. You will be expected to use your programming, analytical, and mathematical skills to extract insights from data, build high-performance modelling pipelines, and help improve modelling … someone with a strong foundation in data science who is looking to make a meaningful impact in a high-performance, fast-paced environment. Key responsibilities Design, build, and maintain statistical or machine learning models to support sports forecasting and pricing across various markets. Extract actionable insights from large-scale sports datasets using sound mathematical and statistical principles. Translate More ❯

us We have an exciting opportunity for a Data Scientist to join our rapidly growing Sports Forecasting & Analytics company. Purpose of the role As a Data Scientist within the Modelling & Data Engineering department, you will play a key role in the design, development, and implementation of predictive models that power our sports forecasting products. You will work collaboratively within … a sport-specific team to develop robust, scalable models, contribute to the research and development of new modelling methodologies, and ensure our forecasts remain accurate, low-latency, and aligned with client demands. You will be expected to use your programming, analytical, and mathematical skills to extract insights from data, build high-performance modelling pipelines, and help improve modelling … someone with a strong foundation in data science who is looking to make a meaningful impact in a high-performance, fast-paced environment. Key responsibilities Design, build, and maintain statistical or machine learning models to support sports forecasting and pricing across various markets. Extract actionable insights from large-scale sports datasets using sound mathematical and statistical principles. Translate More ❯

us We have an exciting opportunity for a Data Scientist to join our rapidly growing Sports Forecasting & Analytics company. Purpose of the role As a Data Scientist within the Modelling & Data Engineering department, you will play a key role in the design, development, and implementation of predictive models that power our sports forecasting products. You will work collaboratively within … a sport-specific team to develop robust, scalable models, contribute to the research and development of new modelling methodologies, and ensure our forecasts remain accurate, low-latency, and aligned with client demands. You will be expected to use your programming, analytical, and mathematical skills to extract insights from data, build high-performance modelling pipelines, and help improve modelling … someone with a strong foundation in data science who is looking to make a meaningful impact in a high-performance, fast-paced environment. Key responsibilities Design, build, and maintain statistical or machine learning models to support sports forecasting and pricing across various markets. Extract actionable insights from large-scale sports datasets using sound mathematical and statistical principles. Translate More ❯

dynamic Risk Analytics team. In this role, you play a pivotal role in shaping and refining credit risk strategies across customer acquisition and account management. Leveraging advanced data analytics, statistical modelling and industry best practices, you will drive smarter credit risk decisioning, enhance portfolio performance and support sustainable business growth while ensuring regulatory compliance. Key Responsibilities: Develop, implement … depth exploratory analysis using diverse data sources across various client segments to identify trends, assess risk exposure and generate actionable insights. Optimise credit risk decisioning through advanced analytics and statistical techniques, ensuring lending strategies are within the agreed risk appetite. Perform regular portfolio performance reviews and health checks, identifying emerging trends and key risk indicators while recommending proactive mitigation More ❯

loss models that quantify climate-related risks Calibrate and validate models using qualitative and quantitative techniques, ensuring scientific rigor Contribute to the design and evolution of a scalable loss modelling framework serving diverse geographies and use cases Work closely with geospatial and financial loss datasets, blending observation data with model output at local to global scales Document models, present … make complex models accessible for non-technical stakeholders Visa sponsorship will ONLY be available if ALL the above requirements are met. What Will Make You Stand Out Advanced catastrophe modelling knowledge, especially in exposure/vulnerability domains Applied statistical skills in uncertainty quantification, Bayesian statistics, or Extreme Value Theory Machine learning experience related to climate risk or catastrophe … modelling Experience with cloud platforms such as AWS or Google Cloud If you are interested in this role, please apply with your CV through this site. DISCLAIMER: No terminology in this advert is intended to discriminate on the grounds of age, sex, race, religion or belief, disability, pregnancy and maternity, marriage and civil partnership, sexual orientation, gender, and/ More ❯

loss models that quantify climate-related risks Calibrate and validate models using qualitative and quantitative techniques, ensuring scientific rigor Contribute to the design and evolution of a scalable loss modelling framework serving diverse geographies and use cases Work closely with geospatial and financial loss datasets, blending observation data with model output at local to global scales Document models, present … make complex models accessible for non-technical stakeholders Visa sponsorship will ONLY be available if ALL the above requirements are met. What Will Make You Stand Out Advanced catastrophe modelling knowledge, especially in exposure/vulnerability domains Applied statistical skills in uncertainty quantification, Bayesian statistics, or Extreme Value Theory Machine learning experience related to climate risk or catastrophe … modelling Experience with cloud platforms such as AWS or Google Cloud If you are interested in this role, please apply with your CV through this site. DISCLAIMER: No terminology in this advert is intended to discriminate on the grounds of age, sex, race, religion or belief, disability, pregnancy and maternity, marriage and civil partnership, sexual orientation, gender, and/ More ❯

loss models that quantify climate-related risks Calibrate and validate models using qualitative and quantitative techniques, ensuring scientific rigor Contribute to the design and evolution of a scalable loss modelling framework serving diverse geographies and use cases Work closely with geospatial and financial loss datasets, blending observation data with model output at local to global scales Document models, present … make complex models accessible for non-technical stakeholders Visa sponsorship will ONLY be available if ALL the above requirements are met. What Will Make You Stand Out Advanced catastrophe modelling knowledge, especially in exposure/vulnerability domains Applied statistical skills in uncertainty quantification, Bayesian statistics, or Extreme Value Theory Machine learning experience related to climate risk or catastrophe … modelling Experience with cloud platforms such as AWS or Google Cloud If you are interested in this role, please apply with your CV through this site. DISCLAIMER: No terminology in this advert is intended to discriminate on the grounds of age, sex, race, religion or belief, disability, pregnancy and maternity, marriage and civil partnership, sexual orientation, gender, and/ More ❯

our global operating services and sits within the Research and Data Sciences Department.Within the Research Team the Data Scientist will use python to develop new analyses and methodologies for statistical modelling of audience measurements, TGI consumer data and market research in general. Transforming client requests into actionable items and best modelling choices is a crucial part of … and must report to different project managers.We are currently a hybrid working team, working both in our London offices and remotely.Job Role Requirements Develop new and enhance existing mathematical, statistical and machine learning algorithms. Investigate data for quality and completeness, identifying errors/anomalies, understanding how these would affect any modelling and controlling for these in development of … to different project managers.Role Requirements Advanced programming with Python and related data science libraries (pandas, numpy, scipy, etc) at least 2 years, possibly at production level Data science skills: statistical analyses, machine learning techniques. Previous experience in statistical matching and segmentation techniques is a great bonus Communication skills: capability to clearly communicate concepts to colleagues (and potentially clients 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 ❯

PowerBI reports, dashboards, and datasets for operational, strategic, and Trustee-level reporting. Carry out data analysis at descriptive, diagnostic, predictive, and (where possible) prescriptive levels using PowerBI, SQL, and statistical techniques. Work closely with stakeholders across all departments to gather requirements, shape reporting solutions, and provide actionable recommendations. Collaborate through Azure DevOps to plan and deliver realistic reporting and … analytics projects. Contribute to improving data processes, modelling, and governance, staying current with emerging technologies and exploring opportunities to use AI and automation. Share knowledge and provide training, helping colleagues get the best out of BI tools while supporting a resilient analytics function. About us St. Margaret's Hospice is a respected charity in Somerset, dedicated to providing compassionate … PowerBI reports, dashboards, and datasets to support operational teams, senior management, and Trustee-level oversight. Deliver analysis at descriptive, diagnostic, predictive, and prescriptive levels using PowerBI, MS SQL, and statistical techniques. Apply statistical and modelling techniques that go beyond traditional reporting, providing forecasts and recommended actions to inform decision-making. Provide actionable insights by identifying trends, patterns More ❯

audiences. Computer vision experience is essential for this role. Responsibilities Work with cross-functional teams to identify business problems and translate them into data-driven solutions. Develop algorithms and statistical models to analyse and interpret complex data sets. Collaborate with software engineers to integrate models into the production environment. Communicate insights and results to technical and non-technical stakeholders. … field of data science. Requirements Proven experience as a data scientist using Python and a range of libraries (Numpy, Pandas, Scikit-Learn, Matplotlib, Plotly etc.). Strong expertise in statistical modelling, machine learning, and data mining techniques. Experience in computer vision is essential. Data engineering (pipelines, databases, infrastructure), ideally with AWS experience would be an advantage. Experience with More ❯

Advanced degree in in computer science, mathematics, physics, statistics, or related field. Strong experience with applying expertise in model design, training, validation, and monitoring. Excellent understanding of machine learning, statistical modeling, and algorithms as well as their benefits and drawbacks. Experience with cloud computing infrastructure. Experience with Computer Vision, image processing and video analytics. Experience with Natural Language Processing More ❯

have Experience with machine learning libraries and frameworks (e.g., TensorFlow, Scikit-learn, PyTorch). With a background in data mining and pattern recognition you'll be an expert in statistical modelling, predictive analytics and regression techniques. An industry certification in data science or a related field is required. About us emh group is one of the largest providers More ❯

Master's degree in computer science, data science, software engineering, or a related field. • Experience with health-related mobile app development and familiarity with digital health regulations. • Proficiency in statistical and machine learning models using Python. • Experience in human-subjects research. • Experience disseminating computational products/code via open-source venues. • Knowledge of passive sensor data collection and processing More ❯

years experience in data science and analytics and will have had some previous experience managing a team. Proven expertise in applied data analysis and a deep understanding of experimentation, statistical modelling, and advanced analytics. Hands-on experience with MLOps practices, cloud environments (AWS or Azure), and classical ML model deployment. Proficiency in Python, SQL, modern data science tools More ❯

deploy monitoring and alerting systems that ensure the accuracy and reliability of core datasets. You’ll work across multiple teams to define key metrics and thresholds, productionise ML/statistical models, and create frameworks that scale across products and business units. You’ll take projects from concept to delivery - scoping requirements, preparing and analysing large datasets, deploying solutions into … AWS-based environments, and embedding best practices in data quality and monitoring. KEY SKILLS/EXPERIENCE: Proficient in Python & SQL for analysis, modelling, and interrogation Experience with large datasets and distributed data processing (PySpark) Skilled in deploying ML/statistical models into production Knowledge of AWS cloud infrastructure Strong analytical, problem-solving, and troubleshooting skills Ability to work … client in conjunction with this vacancy only. KEY SKILLS: Data Scientist/Python/PySpark/AWS/SQL/Monitoring & Alerting/Data Quality/Machine Learning/Statistical Modelling More ❯

deploy monitoring and alerting systems that ensure the accuracy and reliability of core datasets. You’ll work across multiple teams to define key metrics and thresholds, productionise ML/statistical models, and create frameworks that scale across products and business units. You’ll take projects from concept to delivery - scoping requirements, preparing and analysing large datasets, deploying solutions into … AWS-based environments, and embedding best practices in data quality and monitoring. KEY SKILLS/EXPERIENCE: Proficient in Python & SQL for analysis, modelling, and interrogation Experience with large datasets and distributed data processing (PySpark) Skilled in deploying ML/statistical models into production Knowledge of AWS cloud infrastructure Strong analytical, problem-solving, and troubleshooting skills Ability to work … client in conjunction with this vacancy only. KEY SKILLS: Data Scientist/Python/PySpark/AWS/SQL/Monitoring & Alerting/Data Quality/Machine Learning/Statistical Modelling More ❯

deploy monitoring and alerting systems that ensure the accuracy and reliability of core datasets. You’ll work across multiple teams to define key metrics and thresholds, productionise ML/statistical models, and create frameworks that scale across products and business units. You’ll take projects from concept to delivery - scoping requirements, preparing and analysing large datasets, deploying solutions into … AWS-based environments, and embedding best practices in data quality and monitoring. KEY SKILLS/EXPERIENCE: Proficient in Python & SQL for analysis, modelling, and interrogation Experience with large datasets and distributed data processing (PySpark) Skilled in deploying ML/statistical models into production Knowledge of AWS cloud infrastructure Strong analytical, problem-solving, and troubleshooting skills Ability to work … client in conjunction with this vacancy only. KEY SKILLS: Data Scientist/Python/PySpark/AWS/SQL/Monitoring & Alerting/Data Quality/Machine Learning/Statistical Modelling More ❯

and innovation. Key Responsibilities: Report directly to the Chief Technology Officer and collaborate with product, sales, and strategy teams. Develop and test hypotheses to solve critical business challenges. Apply statistical modelling and machine learning to predict trends, improve user experience, and drive operational efficiency. Translate complex analyses into clear, actionable insights for non-technical stakeholders. Build dashboards and … contribute to building a data-driven culture across the organisation. Skills Required: 5+ years’ experience in a Data Science role, ideally in a commercial or technology-driven business. Strong statistical knowledge and ability to design and test hypotheses. Proficiency in Python or R, SQL, and modern data science libraries. Experience with machine learning techniques and real-world application. Ability More ❯