1 to 25 of 71 Statistical Modelling Jobs in the UK

challenges and translation into technical problem statements.. Working with diverse datasets, both internal and external.. Expert application and development of advanced machine learning or statistical modelling techniques to generate actionable insights and deliver measurable impact.· Provide hands-on technical mentorship and guidance to junior and mid-level data … data science, coupled with SQL capabilities for data manipulation and extraction.· Demonstrable mastery in a wide range of machine learning and statistical modelling techniques, from classical linear models and tree-based methods to advanced deep learning architectures.· Practical experience with, or demonstrable capability for, applications of Generative ...

transforms complex, cross‐channel data into strategic insights and measurable business impact. You’ll shape the technical direction for advanced analytics initiatives, driving sophisticated modelling, experimentation, and data infrastructure capabilities that support smarter decision‐making across the organization. Operating at the intersection of data science, marketing, and business strategy … experimentation frameworks, including geo‐based and holdout incrementality testing, to rigorously validate marketing investment decisions at scale Evolve the organisation's Marketing Mix Modelling (MMM) capability, including model development, calibration, and translation into actionable budget allocation recommendations for senior leadership Develop sophisticated statistical models such as LTV prediction ...

work across areas including oncology, immunology and neurodegeneration. This role would suit a scientist-turned-coder or scientific data scientist with strong Python skills, statistical modelling experience and a background working with bioassay or experimental biology data. The Role You will build and improve Python-based analytical pipelines … understand assay logic, experimental design and data handover processes, then translate those workflows into automated, reproducible analysis pipelines. The work will involve dose-response modelling, curve fitting, QC, normalisation, plate-level statistics and data validation, helping scientists generate clearer, faster and more reliable insight from complex experimental data. ...

covering at least one of the following areas: Deep understanding of machine learning algorithms including supervised, unsupervised, and reinforcement learning approaches Strong proficiency in statistical modelling, time‐series forecasting, and predictive analytics Experience with deep learning frameworks (TensorFlow, PyTorch, Keras) Knowledge of prompt engineering, RAG (Retrieval Augmented Generation … code tools such as LangGraph, AutoGen, Semantic Kernal and MS CoPilot Experience in any of the following: Finance Forecasting: Revenue prediction, cashflow modelling, financial planning, risk modelling Energy Optimization: Load forecasting, grid optimization, demand response, renewable energy prediction Predictive Maintenance: Equipment failure prediction, anomaly detection, remaining useful life ...

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 ...

development of presentation decks and communication Preferred Criteria Deep understanding of machine learning algorithms including supervised, unsupervised, and reinforcement learning approaches Strong proficiency in statistical modelling, time‐series forecasting, and predictive analytics Experience with deep learning frameworks (TensorFlow, PyTorch, Keras) Knowledge of prompt engineering, RAG (Retrieval Augmented Generation … code tools such as LangGraph, AutoGen, Semantic Kernal and MS CoPilot Experience in any of the following: Finance Forecasting: Revenue prediction, cashflow modelling, financial planning, risk modelling Energy Optimization: Load forecasting, grid optimization, demand response, renewable energy prediction Predictive Maintenance: Equipment failure prediction, anomaly detection, remaining useful life ...

today focuses on developing and deploying analytical tools and web-based products that support forecasting, optimisation, and automated insight. Our projects span machine learning, statistical modelling, data engineering, data visualisation and MLOps, always with a focus on delivering tangible business outcomes. As demand for digital and AI-enabled ...

stakeholders to deliver data driven solutions Requirements * Degree in Data Science, Computer Science, Statistics or a related discipline * Proven experience in data analysis, statistical modelling and machine learning techniques * Strong skills in Python, R and or SQL with experience using Power BI for data visualisation * Commercial awareness with ...

research challenges. The Role and Deliverables Design, build, and maintain Python-based analytical pipelines for a range of experimental and bioassay data. Implement robust statistical and modelling workflows, including quality control, normalisation, and curve fitting. Translate scientific workflows into reproducible, automated analysis processes. Partner closely with laboratory-based … Experience Strong experience using Python for scientific or analytical software development. Proven capability analysing complex, structured experimental or assay-style datasets. Solid understanding of statistical modelling, curve fitting, and data quality control. Experience building end-to-end data or analysis pipelines with a focus on reproducibility. Comfortable using ...

proven model and shape its future direction. The Role This is a senior, hands-on data science role focused on credit risk modelling within a commercial lending environment. You will take ownership of the core modelling framework, working directly on probability of default models and broader decisioning logic … will not be responsible for infrastructure, pipelines or deployment. A dedicated engineering team manages AWS and production environments, allowing you to focus on modelling and analytics. This is a highly visible role with direct exposure to senior stakeholders. You will be expected to explain model performance, justify modelling ...

experiences, and support international expansion. Key Responsibilities Technical Leadership & Data Science Execution Design, build and deploy predictive models, pricing algorithms, and segmentation frameworks. Apply statistical modelling, machine learning and experimentation techniques to real‐world business problems. Use Python, R and SQL for data exploration, feature engineering, modelling ...

Role: We are seeking a Senior Data Scientist to enhance the organisation's intelligence capability, enabling insight-driven decision making through the organisation, analysis, modelling and interpretation of complex data sets. You will design and build data products using innovative Artificial Intelligence and Machine Learning techniques, delivering measurable business … Lead end-to-end delivery of complex data science projects from ideation through to deployment, monitoring and support. * Develop and deploy advanced machine learning, statistical and AI models using scalable cloud platforms (e.g. Azure Machine Learning, Databricks). * Ensure models are explainable, ethical and aligned with regulatory and business ...

driven solutions Demonstrating the value and potential of AI and advanced analytics through workshops, presentations and client engagements Applying modern data science techniques including statistical modelling, NLP, time-series analysis, spatial analysis and mathematical modelling Collaborating with multidisciplinary teams to deliver high-quality solutions in a fast ...

testing the solution and measuring the incremental value to the business from the solution. What you’ll bring: Deep expertise in machine learning and statistical modelling, with proven impact in areas like personalisation, churn, pricing, and optimisation. Ability to quickly understand a business objective, problem‐solve to create ...

bring Strong track record delivering end-to-end data science solutions (preferably B2C) in cloud environments. Deep expertise in machine learning and statistical modelling, with proven impact in areas like personalisation, churn, pricing, and optimisation. Ability to quickly understand a business objective, problem solve to create an analytical ...

deployment.Strong Python programming skills, including object-oriented design and proficiency with key ML libraries (e.g., PyTorch, TensorFlow, Scikit-Learn).Solid understanding of probability and statistical modeling to support robust model development and interpretation.Experience with cloud platforms (especially Azure and/or AWS) and modern deployment practices for scalable ...

exciting time for the business, with the team growing rapidly and working across a wide spread of client challenges including: Financial analysis and scenario modelling to support strategic reorientation Analysis in support of operating model redesign Business transformation to reduce operating costs Modelling future state workforce needs Designing … materials Supervise and mentor junior members of the team 3+ years experience in management consulting or strategy roles Strong proficiency in data analysis and statistical modelling to drive improved business outcomes Advanced ability to produce high-quality, insightful outputs Experience building predictive models drawing on a variety ...

experience in workforce analytics, HR analytics, or a closely related field Experience with programming languages for advanced analytics, data cleaning, and automation Experience with statistical analysis, predictive modeling, and data interpretation techniques Experience with software used for advanced analytics, data management, business intelligence and predictive modeling (such ...

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 ...

across model analysis, client analysis, and advanced methodologies Define and embed best practices for reproducible, modular, and scalable data science pipelines Set standards for statistical validity, analytical rigor, and reproducibility of outputs across the organisation Ensure strong alignment with machine learning, data engineering, and clinical teams Translate ML outputs … science outputs that support commercial offerings and client value propositions Own the transformation of machine learning outputs into clinical trial endpoints, biomarker definitions, and statistical outputs used by sponsors Ensure outputs are scientifically valid, clinically interpretable, and suitable for regulatory use and use by sponsors Develop advanced analytical methodologies ...

across model analysis, client analysis, and advanced methodologies Define and embed best practices for reproducible, modular, and scalable data science pipelines Set standards for statistical validity, analytical rigor, and reproducibility of outputs across the organisation Ensure strong alignment with machine learning, data engineering, and clinical teams Translate ML outputs … science outputs that support commercial offerings and client value propositions Own the transformation of machine learning outputs into clinical trial endpoints, biomarker definitions, and statistical outputs used by sponsors Ensure outputs are scientifically valid, clinically interpretable, and suitable for regulatory use and use by sponsors Develop advanced analytical methodologies ...

Cloud Hosted Services organizations as well as Mobile Apps and Service companies. Required Skills: 2-4 years of experience manipulating data sets and building statistical and machine learning models. Masters or Ph D in Statistics, Mathematics, Computer Science, or another quantitative field Fluent English (written/spoken) Strong hands ...

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 ...