1 to 25 of 48 Remote Statistical Modelling Jobs

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 ...

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 ...

personable Business Intelligence or Data professional with Power BI experience? Do you have a passion for engaging with people generating new insight, generating statistical models, forecasting, and providing the information make informed business decisions? Let Informed Recruitment help you to achieve your potential with an exciting opportunity ...

data Gathering, mapping, and validating data to power our analytical platforms Calibrating and updating models used in solutions to enhance accuracy and impact Conducting statistical analysis to evaluate model performance Building out processes and procedures to more efficiently support configuration activities across our growing client base Advising ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...