5 of 5 Permanent Statistical Modelling Jobs in Swindon

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 ...

classification, summarization, sentiment analysis Computer Vision Image labeling, object detection, image captioning MLOps/Deployment Model lifecycle support, pipeline design, monitoring/rollback flows Statistical Modeling Hypothesis testing, regression diagnostics, p-value calculation Data Engineering Data pipeline logic, cleaning steps, schema validation Feature Engineering Variable selection, encoding/normalization ...

asynchronous Duration: Flexible Role Responsibilities: Translate business questions into data science problems and analytical workflows. Conduct data wrangling, exploratory analysis, and hypothesis testing. Develop statistical models and predictive tools for decision support. Create compelling data visualizations and dashboards for business users. Present findings and recommendations to non-technical stakeholders. … Python or R (pandas, NumPy, Jupyter) and strong SQL skills. Experience with data visualization tools (e.g., Tableau, Power BI). Solid understanding of statistical modeling, experimentation, and A/B testing. Strong communication skills for translating technical work into strategic insights. Application Process (Takes 20 min): Submit your resume ...

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 ...

various STEM areas and computational approaches: Combinatorial Problems: Enumerations, probability calculations, entropy, partitions Numerical Analysis: Iterative methods, approximations, simulations Mathematical Modeling: Equation solving, optimization, statistical models Applied Mathematics: Graph theory, discrete mathematics, number theory Physics Simulations: Numerical integration, Monte Carlo methods Data Analysis: Statistical computations, algorithmic challenges Engineering ...