4 of 4 Permanent Statistical Modelling Jobs in Wiltshire

experience building dynamic dashboards and reports using visualization tools such as AWS Quicksight, Tableau, Power BI, or similar. Data Modeling: Foundational understanding of statistical analysis and data modeling principles. CRM Expertise: Strong working knowledge of a major CRM platform (e.g., Salesforce, MS Dynamics) and how to extract data from ...

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 ...

Description The Lead Biostatistician/Statistical Programmer plays a key role in driving profitable growth by leading proposal development and project execution in alignment with the organization's strategic objectives. This role partners closely with Client Partners to support proactive business development, deliver high-quality services to clients … conducted in compliance with internal SOPs, ICH guidelines, industry standards, and regulatory requirements. Key responsibilities include reviewing and approving all biostatistics documentation and statistical programming outputs, overseeing project budgets and timelines, and ensuring overall quality and consistency across assigned accounts. In addition, the Lead Biostatistician contributes to talent acquisition ...

week Role Responsibilities (Training support will be provided) Analyze large, complex datasets to identify patterns and generate actionable insights. Build high-performing predictive models, statistical analyses, and ML pipelines across varied data types. Design and implement rigorous experiment frameworks and validation strategies. Automate workflows, feature pipelines, and reproducible research … driven research. Proficiency in Python and key libraries such as Pandas, NumPy, Polars, and scikit-learn. Solid knowledge of experiment design, causal inference, and statistical modeling. Familiarity with SQL, distributed data systems, and experiment tracking tools. Excellent communication and data storytelling skills. Application Process (Takes 20 min) Upload resume ...