17 of 17 Remote/Hybrid Statistical Modelling Jobs in England

modern cloud engineering practices. Wherever you land, youll be working with some of the biggest datasets in the UK using everything from Spark and statistical methods to domain knowledge and emerging GenAI applications. The work you could be doing Design and deploy machine learning models for fraud detection, credit …/CD tooling to ensure seamless model delivery and monitoring. Apply advanced techniques in deep learning, natural language processing (NLP), and statistical modelling to extract insights and drive decision-making. Explore and evaluate Generative AI applications, including prompt engineering, fine-tuning, and safety alignment using tools like Gemini ...

modern cloud engineering practices. Wherever you land, youll be working with some of the biggest datasets in the UK using everything from Spark and statistical methods to domain knowledge and emerging GenAI applications. The work you could be doing Design and deploy machine learning models for fraud detection, credit …/CD tooling to ensure seamless model delivery and monitoring. Apply advanced techniques in deep learning, natural language processing (NLP), and statistical modelling to extract insights and drive decision-making. Explore and evaluate Generative AI applications, including prompt engineering, fine-tuning, and safety alignment using tools like Gemini ...

modern cloud engineering practices. Wherever you land, youll be working with some of the biggest datasets in the UK using everything from Spark and statistical methods to domain knowledge and emerging GenAI applications. The work you could be doing Design and deploy machine learning models for fraud detection, credit …/CD tooling to ensure seamless model delivery and monitoring. Apply advanced techniques in deep learning, natural language processing (NLP), and statistical modelling to extract insights and drive decision-making. Explore and evaluate Generative AI applications, including prompt engineering, fine-tuning, and safety alignment using tools like Gemini ...

modern cloud engineering practices. Wherever you land, youll be working with some of the biggest datasets in the UK using everything from Spark and statistical methods to domain knowledge and emerging GenAI applications. The work you could be doing Design and deploy machine learning models for fraud detection, credit …/CD tooling to ensure seamless model delivery and monitoring. Apply advanced techniques in deep learning, natural language processing (NLP), and statistical modelling to extract insights and drive decision-making. Explore and evaluate Generative AI applications, including prompt engineering, fine-tuning, and safety alignment using tools like Gemini ...

data-driven models and insights that directly support product development, customer experience, and commercial decision-making. The successful candidate will have strong experience in statistical modelling, machine learning, and experimentation , with the ability to work closely with product and engineering teams to deliver practical, scalable solutions. Key Responsibilities … Data Science & Modelling Develop, test, and deploy statistical and machine learning models to support product features and business decision-making. Apply predictive modelling, classification, and optimisation techniques to real-world problems. Perform exploratory data analysis to identify trends, patterns, and opportunities for improvement. Experimentation & Insights Design ...

analytics and deep insights to power our products, optimise our processes, and uncover new opportunities. We are seeking an experienced Data Scientist with strong statistical expertise, analytical curiosity, and creative problem-solving skills to join our growing team. In this role, you will work closely with cross-functional teams … organisation. Objectives •Collaborate with product and technology teams to understand data needs, business goals, and opportunities for innovation. •Research, prototype, and implement advanced statistical and machine learning models to solve complex business problems. •Translate analytical findings into clear, actionable insights that drive strategic decisions. •Embed data science ...

industrial automation. · Proficiency in Python, R, or MATLAB, with experience in ML frameworks such as TensorFlow, PyTorch, or scikit-learn. · Strong knowledge of statistical techniques, model evaluation metrics, and validation methodologies. · Experience preparing and wrangling large datasets for model validation. · Familiarity with cloud platforms (AWS, Azure, GCP) and production ...

technical stakeholders, including coaches, scouts, analysts, and traders. Skills & Attributes Strong background in Python, with experience in data manipulation (Pandas/Polars) and statistical modelling. Industry experience in a data science role focussing on sports analytics or personal projects related to football data. Knowledge of advanced football metrics (possession ...

Strong SQL, Excel and data manipulation skills with experience in BI tools like Tableau or Power BI Programming experience in R or Python for statistical analysis and data modelling Experience with relational databases (Oracle, SQL Server) and database design Exposure to VBA, Bash scripting or other automation tools … Knowledge of financial services data, risk modelling or regulatory reporting is a plus Familiarity with cloud platforms like AWS or Azure for data analytics is desirable Comfortable working across multiple stakeholders and presenting insights at executive level Strong communication skills and ability to translate complex data into clear recommendations ...

passionate about using advanced data science to drive real-world impact in sport, this is the role for you. Key Responsibilities Develop and apply statistical models and algorithms to analyse player performance, match outcomes, and tactical insights Collect, clean, and process football-related data from diverse sources Build clear … experience as a Data Scientist , plus a strong academic foundation Python Data Science Stack : Advanced proficiency in Python , including Pandas, NumPy and scikit-learn. Statistical & Machine Learning Modelling : Experience with a variety of ML techniques ( regression, classification, clustering, time-series forecasting ) Experience with deep learning frameworks such ...

role you must have the following essential skills & experience: Key Skills & Experience 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 ...

Vertex AI (or equivalent cloud ML platforms). Solid software engineering fundamentals: APIs, Docker, CI/CD, and Git. Strong understanding of deep learning, statistical modelling, and optimisation techniques. Nice to Have Experience with agentic design patterns (e.g. ReAct, Chain-of-Thought, tool use). Familiarity with ...

learning, and the chance to make a difference. About the Role As a Data Scientist, you’ll work end-to-end across data pipelines, modelling, and insights — helping the business make smarter decisions every day. You’ll collaborate with product, engineering and senior stakeholders, with full support from … team. If you love solving problems, asking questions, and building useful things with data, this role is for you. Key Responsibilities ✅ Build predictive and statistical models using Python ✅ Develop end-to-end data pipelines and automated workflows ✅ Analyse behavioural, financial or operational datasets ✅ Create dashboards and visualisations ...

performance, and timing jitter. You will also model RF front-end behaviour, improving signal integrity and inference accuracy, and apply machine learning and statistical models for classification, anomaly detection, and emitter identification. You will prototype real-time and batch-processing systems using Python (NumPy, SciPy, PyTorch) and integrate them … will have strong Python proficiency for data analysis and prototyping, a solid understanding of digital signal processing (FFT, filtering, modulation, correlation, resampling, and noise modelling), and familiarity with SDR frameworks such as GNU Radio, SDRangel, osmoSDR, or SoapySDR. A practical understanding of RF hardware chains - from antenna through filters ...

approach. You will join Central Test’s Research & Development department , working alongside occupational psychologists, psychometricians, data scientists, and researchers, contributing to the creation and statistical validation of psychometric tests and HR tools. 🎯 Your role You will contribute to the development, revision and validation of our psychometric tools. Your main … responsibilities will include: Data collection, analysis, quality control, and statistical validation of psychological models and HR frameworks Keeping up to date with industry advancements and applying these to our processes Quality control of Central Test’s platform, including standardisation and scoring Contribution to technical platform conception and redesigns , such ...

Machine Learning Engineer or Senior Machine Learning Engineer to design, build and maintain the frameworks, tooling and packages that support high quality modelling and analytical workflows. You will play a key role in enabling fast, reliable and scalable delivery of ML driven solutions across the business. The environment … collaborative, fast paced and engineering focused, with a strong emphasis on high standards, automation and continuous improvement. Role: Develop and operationalise Python based modelling tools and frameworks that support the full analytical lifecycle Create tools, APIs and processes that enable seamless, efficient and controlled deployment of ML and statistical ...

Machine Learning Engineer or Senior Machine Learning Engineer to design, build and maintain the frameworks, tooling and packages that support high quality modelling and analytical workflows. You will play a key role in enabling fast, reliable and scalable delivery of ML driven solutions across the business. The environment … collaborative, fast paced and engineering focused, with a strong emphasis on high standards, automation and continuous improvement. Role: Develop and operationalise Python based modelling tools and frameworks that support the full analytical lifecycle Create tools, APIs and processes that enable seamless, efficient and controlled deployment of ML and statistical ...