51 to 75 of 99 Statistical Modelling Jobs in the UK excluding London

directly to the Chief Technology Officer and collaborate with product, sales, and strategy teams. Develop and test hypotheses to solve critical business challenges. Apply statistical modelling and machine learning to predict trends, improve user experience, and drive operational efficiency. Translate complex analyses into clear, actionable insights … driven culture across the organisation. Skills Required: 5+ years’ experience in a Data Science role, ideally in a commercial or technology-driven business. Strong statistical knowledge and ability to design and test hypotheses. Proficiency in Python or R, SQL, and modern data science libraries. Experience with machine learning techniques ...

Scientist Contractor £500-600pd Outside IR35 3 months We are working with a leading consultancy that is looking for an experienced Marketing Mix Modelling (MMM) Data Scientist to join on a contract basis. This role will focus on delivering robust marketing effectiveness and ROI insights for high-profile … Design and build Marketing Mix Models to measure marketing effectiveness and ROI Analyse large, complex datasets covering media spend, sales, and external factors Apply statistical and econometric techniques to model impact and attribution Use Python and/or R to develop, test, and deploy models Use SQL to extract ...

formats. You'll be at the heart of decision-making and continuous improvement, using your expertise in data science, retail operations, and statistical modelling to deliver meaningful, data-backed change directly into our stores. You will manage data collection methodologies, conduct advanced analyses, and ensure the integrity … Sourcing and Integrity: Working with cross-functional teams to identify, capture, and ensure the high integrity of data necessary for model development, including conducting statistical analysis on task measurement outputs. Model Implementation Support: Providing analytical support and insight during the implementation of new scheduling systems, ensuring models are correctly ...

operational data Theme extraction from defect reports and customer feedback Helping challenge assumptions with data-driven evidence Tech Environment Python & SQL Machine Learning, statistical modelling, data manipulation Cloud-first setup (Azure preferred; Databricks is widely used) Exposure to LLMs or AI agents is extremely valuable ...

Acquisition Cost. We deliver progress. What you’ll do and how you will make an impact. What You’ll Do Design and execute advanced statistical and predictive models to understand the key drivers of customer behaviour, retention, and engagement. Develop and refine sophisticated models to measure and predict ...

. Hands on experience with a modern deep learning framework, preferably PyTorch. Strong theoretical understanding of machine learning principles, including deep learning and classical statistical models. Knowledge of the inner workings of LLMs and VLMs, the ability to gut them and work with them past just surface-level functionality. ...

. Hands on experience with a modern deep learning framework, preferably PyTorch. Strong theoretical understanding of machine learning principles, including deep learning and classical statistical models. Knowledge of the inner workings of LLMs and VLMs, the ability to gut them and work with them past just surface-level functionality. ...

. Hands on experience with a modern deep learning framework, preferably PyTorch. Strong theoretical understanding of machine learning principles, including deep learning and classical statistical models. Knowledge of the inner workings of LLMs and VLMs, the ability to gut them and work with them past just surface-level functionality. ...

variety of sports, in particular tennis. ● Experience with the PyData stack (pandas, numpy, scikit-learn, matplotlib etc.). ● Knowledge of machine learning and statistical models, e.g. linear/logistic regression, decision trees, random forest, unsupervised methods etc. ● Basic knowledge of relational databases and SQL. ● Experience conveying complex information through ...

data engineering teams to maintain robust data infrastructure. Analytics and Insights: Design and oversee complex data analysis projects to derive actionable insights. Utilize statistical methods, machine learning models, and advanced analytics techniques. Present findings and recommendations to stakeholders through reports, dashboards, and presentations. Collaboration and Communication: Collaborate with various … Adobe Analytics, ContentSquare), data analytics tools/languages (SQL, Python, R, SAS), and data visualization platforms (e.g., Tableau, Power BI). Strong understanding of statistical methods, machine learning, data mining techniques, data warehousing solutions, big data technologies, and data engineering concepts. Exceptional leadership, team management, and communication skills, with ...

Strong SQL, Excel and data manipulation skills with experience in BI tools like Tableau or Power BI Programming experience in R or Python for statistical analysis and data modelling Experience with relational databases (Oracle, SQL Server) and database design Exposure to VBA, Bash scripting or other automation tools … Knowledge of financial services data, risk modelling or regulatory reporting is a plus Familiarity with cloud platforms like AWS or Azure for data analytics is desirable Comfortable working across multiple stakeholders and presenting insights at executive level Strong communication skills and ability to translate complex data into clear recommendations ...

Strong SQL, Excel and data manipulation skills with experience in BI tools like Tableau or Power BI Programming experience in R or Python for statistical analysis and data modelling Experience with relational databases (Oracle, SQL Server) and database design Exposure to VBA, Bash scripting or other automation tools … Knowledge of financial services data, risk modelling or regulatory reporting is a plus Familiarity with cloud platforms like AWS or Azure for data analytics is desirable Comfortable working across multiple stakeholders and presenting insights at executive level Strong communication skills and ability to translate complex data into clear recommendations ...

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 ...

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 ...