7 of 7 Remote/Hybrid Statistical Modelling Jobs in the South East

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 ...

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 ...

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 ...

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 ...