23 of 23 Statistical Modelling Jobs in the South East

Scientist, Decision Scientist and Product Data Scientist—for upcoming roles where data science genuinely drives decisions. These are roles focused on insight, experimentation and modelling: turning messy real-world data into the understanding and predictions that change what a business does next. You'll work across the full data … science lifecycle—from framing the problem and exploring the data through to modelling, experimentation, communication and measuring impact. The role suits someone who pairs strong statistical and modelling rigour with genuine curiosity about the problem and the storytelling skill to make a result land with the people ...

producing high-quality outcomes. Responsibilities Deliver data science projects, from problem definition through to actionable insights and presentation of results Develop and apply predictive modelling, supervised and unsupervised machine learning techniques to optimise client operations and business outcomes Build and maintain data pipelines, ensuring data quality, consistency, and integrity … contribution to the enhancement of Sagacity’s data science and analytics product suite Competencies and Experience 2+ years’ experience in data science, analytics, or statistical modelling, ideally with commercial experience within the Telecoms, Banking or Utilities industries; or within a data-related consultancy Educated to degree level (postgraduate ...

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 ...

databases (SQL Server, PostgreSQL, Oracle, MySQL) Data visualisation tools (Power BI, Tableau, Spotfire) Cloud platforms, particularly Microsoft Azure Big data technologies (Spark, Elasticsearch, Hadoop) Statistical modelling and advanced analytics Machine learning and pattern recognition techniques Web technologies such as HTML and JavaScript ...

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 ...

intersection of research and commercial impact, this is a role worth exploring. The Data Scientist Opportunity As a Data Scientist, youll work on advanced modelling and scientific computing projects that combine Bayesian inference, probabilistic modelling and machine learning with practical commercial applications. Youll contribute to both client-facing … projects with real-world value. What Youll Be Doing Develop and deliver advanced data science, sampling and machine learning solutions Apply Bayesian inference and statistical modelling to complex scientific and industrial challenges Build robust, well-tested code and clear technical documentation Work with proprietary Bayesian data science tools ...

Data Scientist. This builds on the knowledge of the Data+ certification and enables you to demonstrate your knowledge in advanced data processing, cleaning, and statistical modelling concepts. You will demonstrate your knowledge of machine learning, industry trends and use of specialised data science applications. You will also apply … mathematical and statistical methods appropriately. Step 5 is not a requirement for our job guarantee as this stage is designed to advance your data career to the next level. Our money back guarantee If after 1 year of passing your formal qualifications, we have been unable to help ...

Data Scientist. This builds on the knowledge of the Data+ certification and enables you to demonstrate your knowledge in advanced data processing, cleaning, and statistical modelling concepts. You will demonstrate your knowledge of machine learning, industry trends and use of specialised data science applications. You will also apply … mathematical and statistical methods appropriately. Step 5 is not a requirement for our job guarantee as this stage is designed to advance your data career to the next level. Our money back guarantee If after 1 year of passing your formal qualifications, we have been unable to help ...

into actionable insights for customers. The team works collaboratively across data science, product, domain experts, and engineering. Its work combines artificial intelligence, machine learning, statistical modelling, and sector knowledge to build customer-facing products and internal platforms. SCOPE OF THE ROLE In this role as a Senior Data ...

Data Scientist. This builds on the knowledge of the Data+ certification and enables you to demonstrate your knowledge in advanced data processing, cleaning, and statistical modelling concepts. You will demonstrate your knowledge of machine learning, industry trends and use of specialised data science applications. You will also apply … mathematical and statistical methods appropriately. Step 5 is not a requirement for our job guarantee as this stage is designed to advance your data career to the next level. Our money back guarantee If after 1 year of passing your formal qualifications, we have been unable to help ...

Data Scientist. This builds on the knowledge of the Data+ certification and enables you to demonstrate your knowledge in advanced data processing, cleaning, and statistical modelling concepts. You will demonstrate your knowledge of machine learning, industry trends and use of specialised data science applications. You will also apply … mathematical and statistical methods appropriately. Step 5 is not a requirement for our job guarantee as this stage is designed to advance your data career to the next level. Our money back guarantee If after 1 year of passing your formal qualifications, we have been unable to help ...

Data Scientist. This builds on the knowledge of the Data+ certification and enables you to demonstrate your knowledge in advanced data processing, cleaning, and statistical modelling concepts. You will demonstrate your knowledge of machine learning, industry trends and use of specialised data science applications. You will also apply … mathematical and statistical methods appropriately. Step 5 is not a requirement for our job guarantee as this stage is designed to advance your data career to the next level. Our money back guarantee If after 1 year of passing your formal qualifications, we have been unable to help ...

Data Scientist. This builds on the knowledge of the Data+ certification and enables you to demonstrate your knowledge in advanced data processing, cleaning, and statistical modelling concepts. You will demonstrate your knowledge of machine learning, industry trends and use of specialised data science applications. You will also apply … mathematical and statistical methods appropriately. Step 5 is not a requirement for our job guarantee as this stage is designed to advance your data career to the next level. Our money back guarantee If after 1 year of passing your formal qualifications, we have been unable to help ...

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 ...

solutions and clear reporting of impact Your Skills & Experience * Strong experience leading data science teams and driving strategic initiatives * Deep expertise in machine learning, statistical modelling, and advanced analytics techniques * Proficiency in tools such as Python or R, and familiarity with modern data platforms * Experience translating complex data ...

Responsibilities Model Development (Azure Machine Learning Studio focus) Work collaboratively with actuarial and analytics teams to design, build, and deploy machine learning and statistical models using Azure Machine Learning Studio (AML Studio) in production environments. Apply appropriate ML techniques to improve predictions such as longevity, default risk, and investment …/CD practices and DevOps/MLOps principles integrated with Azure Machine Learning Studio environments. Cross-functional Collaboration Work closely with actuarial analysts and modelling teams to translate outputs from Azure ML Studio into actionable insights and business recommendations. Innovation and Continuous Improvement Stay up to date with developments ...

analytics Contribute to best practice in data science, governance, and ethical use of data Tech & Tools You'll typically work with: Python and advanced statistical tools Machine Learning and AI frameworks Cloud-based data platforms (e.g. Azure ecosystems) Data visualisation and reporting tools Data engineering and transformation pipelines What … Looking For Essential: Extensive experience designing and delivering data science and AI solutions in real-world environments Strong expertise in statistical analysis, machine learning, and advanced analytics techniques Proven ability to write and optimise complex code Experience working closely with data engineers and multidisciplinary teams Demonstrable contribution to building ...

hands-on role for someone who enjoys technical depth, variety, and ownership, and who is comfortable applying the right techniques to each problem - from statistical analysis through to machine learning and deep learning models. You’ll join a small, high-calibre team that values autonomy, flexibility and technical excellence. … complex, ambiguous problem statements into clear, actionable data science solutions. Owning the full data science lifecycle, from data ingestion and feature engineering through to modelling, evaluation and deployment. Developing statistical, machine learning and deep learning models to support high-impact, real-world decision making. Working with large, structured ...

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 ...

real-world applications Work with both structured data and text (NLP) to generate insights Design and maintain data pipelines and production-ready systems Apply statistical methods to evaluate models and ensure reliability Collaborate with domain experts to solve complex analytical problems Communicate findings clearly to both technical … used in production Comfortable working with real-world, messy datasets. Familiarity with data pipelines, deployment, and maintaining ML systems Experience with NLP/text modelling (e.g. classification, embeddings, transformers) Exposure to finance, economics, or risk-related data. Job Offer Data Scientist - London Competitive salary ranging from ...