25 of 25 Remote/Hybrid Statistical Modelling Jobs in the UK excluding London

Science experience within a commercial environment Strong Python and SQL skills Experience developing and deploying machine learning models into production environments Excellent understanding of statistical modelling, experimentation, and model evaluation Strong feature engineering and exploratory data analysis capabilities Experience communicating technical findings and insights to non-technical stakeholders … learning models to solve real-world business challenges Performing exploratory data analysis, feature engineering, model development, and evaluation Building forecasting, classification, segmentation, and predictive modelling solutions Designing and executing statistical analyses and experiments to support strategic decision-making Translating complex analytical findings into clear recommendations for senior stakeholders ...

looking for Quantitative Finance professionals to work with our researchers to improve the performance of AI models. You will apply your expertise in quantitative modelling, statistical analysis, algorithmic strategy development, and financial engineering to evaluate and train AI systems. If you enjoy solving complex quantitative problems … apply. No prior AI experience is required. What Does Day-to-Day Look Like Evaluate LLM models on quantitative finance topics such as stochastic modelling, derivatives pricing, statistical arbitrage, and risk quantification. Create rubrics to assess model capabilities on tasks like options pricing, Monte Carlo simulation, factor model ...

looking for Quantitative Finance professionals to work with our researchers to improve the performance of AI models. You will apply your expertise in quantitative modelling, statistical analysis, algorithmic strategy development, and financial engineering to evaluate and train AI systems. If you enjoy solving complex quantitative problems … apply. No prior AI experience is required. What Does Day-to-Day Look Like Evaluate LLM models on quantitative finance topics such as stochastic modelling, derivatives pricing, statistical arbitrage, and risk quantification. Create rubrics to assess model capabilities on tasks like options pricing, Monte Carlo simulation, factor model ...

looking for Quantitative Finance professionals to work with our researchers to improve the performance of AI models. You will apply your expertise in quantitative modelling, statistical analysis, algorithmic strategy development, and financial engineering to evaluate and train AI systems. If you enjoy solving complex quantitative problems … apply. No prior AI experience is required. What Does Day-to-Day Look Like Evaluate LLM models on quantitative finance topics such as stochastic modelling, derivatives pricing, statistical arbitrage, and risk quantification. Create rubrics to assess model capabilities on tasks like options pricing, Monte Carlo simulation, factor model ...

looking for Quantitative Finance professionals to work with our researchers to improve the performance of AI models. You will apply your expertise in quantitative modelling, statistical analysis, algorithmic strategy development, and financial engineering to evaluate and train AI systems. If you enjoy solving complex quantitative problems … apply. No prior AI experience is required. What Does Day-to-Day Look Like Evaluate LLM models on quantitative finance topics such as stochastic modelling, derivatives pricing, statistical arbitrage, and risk quantification. Create rubrics to assess model capabilities on tasks like options pricing, Monte Carlo simulation, factor model ...

looking for Quantitative Finance professionals to work with our researchers to improve the performance of AI models. You will apply your expertise in quantitative modelling, statistical analysis, algorithmic strategy development, and financial engineering to evaluate and train AI systems. If you enjoy solving complex quantitative problems … apply. No prior AI experience is required. What Does Day-to-Day Look Like Evaluate LLM models on quantitative finance topics such as stochastic modelling, derivatives pricing, statistical arbitrage, and risk quantification. Create rubrics to assess model capabilities on tasks like options pricing, Monte Carlo simulation, factor model ...

looking for Quantitative Finance professionals to work with our researchers to improve the performance of AI models. You will apply your expertise in quantitative modelling, statistical analysis, algorithmic strategy development, and financial engineering to evaluate and train AI systems. If you enjoy solving complex quantitative problems … apply. No prior AI experience is required. What Does Day-to-Day Look Like Evaluate LLM models on quantitative finance topics such as stochastic modelling, derivatives pricing, statistical arbitrage, and risk quantification. Create rubrics to assess model capabilities on tasks like options pricing, Monte Carlo simulation, factor model ...

looking for Quantitative Finance professionals to work with our researchers to improve the performance of AI models. You will apply your expertise in quantitative modelling, statistical analysis, algorithmic strategy development, and financial engineering to evaluate and train AI systems. If you enjoy solving complex quantitative problems … apply. No prior AI experience is required. What Does Day-to-Day Look Like Evaluate LLM models on quantitative finance topics such as stochastic modelling, derivatives pricing, statistical arbitrage, and risk quantification. Create rubrics to assess model capabilities on tasks like options pricing, Monte Carlo simulation, factor model ...

looking for Quantitative Finance professionals to work with our researchers to improve the performance of AI models. You will apply your expertise in quantitative modelling, statistical analysis, algorithmic strategy development, and financial engineering to evaluate and train AI systems. If you enjoy solving complex quantitative problems … apply. No prior AI experience is required. What Does Day-to-Day Look Like Evaluate LLM models on quantitative finance topics such as stochastic modelling, derivatives pricing, statistical arbitrage, and risk quantification. Create rubrics to assess model capabilities on tasks like options pricing, Monte Carlo simulation, factor model ...

looking for Quantitative Finance professionals to work with our researchers to improve the performance of AI models. You will apply your expertise in quantitative modelling, statistical analysis, algorithmic strategy development, and financial engineering to evaluate and train AI systems. If you enjoy solving complex quantitative problems … apply. No prior AI experience is required. What Does Day-to-Day Look Like Evaluate LLM models on quantitative finance topics such as stochastic modelling, derivatives pricing, statistical arbitrage, and risk quantification. Create rubrics to assess model capabilities on tasks like options pricing, Monte Carlo simulation, factor model ...

looking for Quantitative Finance professionals to work with our researchers to improve the performance of AI models. You will apply your expertise in quantitative modelling, statistical analysis, algorithmic strategy development, and financial engineering to evaluate and train AI systems. If you enjoy solving complex quantitative problems … apply. No prior AI experience is required. What Does Day-to-Day Look Like Evaluate LLM models on quantitative finance topics such as stochastic modelling, derivatives pricing, statistical arbitrage, and risk quantification. Create rubrics to assess model capabilities on tasks like options pricing, Monte Carlo simulation, factor model ...

looking for Quantitative Finance professionals to work with our researchers to improve the performance of AI models. You will apply your expertise in quantitative modelling, statistical analysis, algorithmic strategy development, and financial engineering to evaluate and train AI systems. If you enjoy solving complex quantitative problems … apply. No prior AI experience is required. What Does Day-to-Day Look Like Evaluate LLM models on quantitative finance topics such as stochastic modelling, derivatives pricing, statistical arbitrage, and risk quantification. Create rubrics to assess model capabilities on tasks like options pricing, Monte Carlo simulation, factor model ...

looking for Quantitative Finance professionals to work with our researchers to improve the performance of AI models. You will apply your expertise in quantitative modelling, statistical analysis, algorithmic strategy development, and financial engineering to evaluate and train AI systems. If you enjoy solving complex quantitative problems … apply. No prior AI experience is required. What Does Day-to-Day Look Like Evaluate LLM models on quantitative finance topics such as stochastic modelling, derivatives pricing, statistical arbitrage, and risk quantification. Create rubrics to assess model capabilities on tasks like options pricing, Monte Carlo simulation, factor model ...

understanding the data, testing hypotheses, and developing proof-of-concept solutions that can later be transitioned into production by engineering teams. Exploratory Data Science & Modelling Explore structured and unstructured datasets to identify patterns and opportunities Build proof-of-concept ML and statistical models Apply NLP and semantic techniques … classify, compare and relate text data Test and evaluate different modelling approaches NLP & Text Analytics Work with text data including titles, summaries and free-text fields Apply NLP techniques (embeddings, similarity, topic modelling, classification) Develop semantic search and matching approaches Translate ambiguous problems into analytical solutions Evaluation & Insight ...

understanding the data, testing hypotheses, and developing proof-of-concept solutions that can later be transitioned into production by engineering teams. Exploratory Data Science & Modelling Explore structured and unstructured datasets to identify patterns and opportunities Build proof-of-concept ML and statistical models Apply NLP and semantic techniques … classify, compare and relate text data Test and evaluate different modelling approaches NLP & Text Analytics Work with text data including titles, summaries and free-text fields Apply NLP techniques (embeddings, similarity, topic modelling, classification) Develop semantic search and matching approaches Translate ambiguous problems into analytical solutions Evaluation & Insight ...

Machine Learning Engineer to design, build and deploy advanced analytical solutions that drive business value. This role is ideal for someone who combines strong statistical and machine learning expertise with hands-on experience productionising models and building scalable ML systems. Machine Learning Engineer, key skills: Strong experience in Python … containerisation (Docker, Kubernetes) Experience building data pipelines and working with large datasets (SQL, Spark or similar) Strong understanding of machine learning algorithms and statistical modelling techniques Experience collaborating across data science and engineering teams Machine Learning Engineer, Python, MLOps, model deployment Reasonable Adjustments: Respect and equality are core ...

making Analyse large and complex datasets to uncover actionable insights Collaborate with analysts and engineers to deploy and productionise models Contribute to a greenfield modelling environment and help shape best practices Take ownership of projects with visibility across the wider business Your Skills and Experience Strong academic background … STEM subject such as Mathematics, Data Science, Computer Science, or similar Solid programming skills, ideally in Python Understanding of statistical modelling and machine learning fundamentals Hands-on experience through internships, placements, or personal projects Demonstrated curiosity and initiative, such as side projects or GitHub work Clear communication skills ...

delivering advanced analytics and data science solutions, helping to turn complex datasets into actionable insights. Key responsibilities include: Developing and deploying predictive models and statistical analysis Working with large, complex datasets to identify trends and insights Collaborating with data engineers and stakeholders to shape data solutions Supporting decision‐making … experience as a Data Scientist in complex or regulated environments Strong skills in Python (or similar) and data science libraries Experience with machine learning, statistical modelling and data analysis Ability to communicate technical findings to non-technical stakeholders Experience in public sector or government environments is highly desirable ...

across feature engineering, training, validation, and ongoing performance monitoring.* Work closely with application and logic developers to embed models into operational decision workflows.* Develop statistical and machine learning models for personalisation, propensity scoring, and next-best-action use cases.* Design and run experiments, including A/B testing … client-facing or consulting environments.* Advanced capability in Python and or R, with hands-on use of modern machine learning libraries.* Deep understanding of statistical modelling, experimentation, and model evaluation techniques.* Experience deploying and operating models on cloud platforms such as AWS, GCP, or Azure.* Proven ability ...

security, monitoring, and operational best practices. Excellent communication, leadership, stakeholder management, and problem-solving skills. Highly Desirable Strong Data Science background, with experience in statistical modelling, predictive analytics, feature engineering, experimentation, and model evaluation. Experience applying Data Science methodologies to solve complex business problems and identify opportunities ...

technical teams. Technical Proficiency: Strong programming skills (e.g., Python, R) and advanced SQL, with the ability to provide hands-on support in machine learning, statistical modeling, and querying large-scale datasets. Platform Experience: Experience utilizing end-to-end data science and machine learning platforms to scale operations; specific experience ...

significant difference within a well-established and rapidly growing organisation. Your day to day will consist of...... Proactively and collaboratively develop Analysis and Insight Statistical analysis and modelling Report making to help deliver optimal management decisions Identify, quantify and prioritise opportunities to enhance operational efficiency and produce world ...

implementation. They work independently on tasks like data consumption, preparation, and the translation of business problems into data stories. This role involves applying suitable statistical data analysis and modeling methods to solve complex business problems. Data Scientist works within the scope of their team, and occasionally across partner teams … working autonomously on consuming data, preparing it for data science use, translating business problems to data stories and solving them effectively by applying suitable statistical data analysis and modeling methods. Leverages input from business stakeholders in all of the above to determine the right technical solutions to deliver customer ...

machine learning applications. Analyse complex datasets to uncover trends, patterns, and actionable insights that drive business or operational outcomes. Build, prototype, and evaluate statistical and machine learning models to solve real-world problems, testing feasibility and estimating impact before full deployment. Engineer and implement ML-based solutions, owning … ongoing monitoring. You are proficient in Python and its data/ML ecosystem (e.g. pandas, scikit-learn, PyTorch, TensorFlow), and you can apply statistical and machine learning techniques confidently in real-world settings. You have deployed models into live systems and understand how to make ML operational – whether that ...

VISA sponsorship now or in the future. Overview: The key area of focus for the role is the development and improvement of mathematical and statistical models demonstrating different data sets both at panel level and at census level. These will include Fifty5Blue's internally owned data and data from … frequency estimates for highly granular and accurate viewing insight, without the limitations of panel sizes. Key Responsibilities Design and refine machine learning and statistical models to improve their performance and adaptability. Develop prototypes of statistical and machine learning models in Python, ensuring they integrate seamlessly into existing data ...