1 to 25 of 30 Statistical Modelling Jobs in the East of England

intelligence, or data science. Strong leadership and team management skills. Proficiency in data visualization tools (e.g., Power BI, Tableau) and SQL. Experience with applying statistical analysis and data modeling Excellent communication and stakeholder management skills. Bachelor's or Master's degree in a relevant field (e.g., Data Science, Statistics ...

intelligence, or data science. Strong leadership and team management skills. Proficiency in data visualization tools (e.g., Power BI, Tableau) and SQL. Experience with applying statistical analysis and data modeling Excellent communication and stakeholder management skills. Bachelor's or Master's degree in a relevant field (e.g., Data Science, Statistics ...

intelligence, or data science. Strong leadership and team management skills. Proficiency in data visualization tools (e.g., Power BI, Tableau) and SQL. Experience with applying statistical analysis and data modeling Excellent communication and stakeholder management skills. Bachelor's or Master's degree in a relevant field (e.g., Data Science, Statistics ...

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 ...

scipy, scikit-learn, torch, tensorflow) Bachelor's degree in a quantitative field from the U.S., Canada, UK, Australia, or New Zealand Expertise in EDA, statistical inference, model evaluation, feature engineering, or experimentation Excellent communication and attention to detail Opportunity Highlights 20–40 hours/week, with potential to scale ...

scipy, scikit-learn, torch, tensorflow) Bachelor's degree in a quantitative field from the U.S., Canada, UK, Australia, or New Zealand Expertise in EDA, statistical inference, model evaluation, feature engineering, or experimentation Excellent communication and attention to detail Opportunity Highlights 20–40 hours/week, with potential to scale ...

scipy, scikit-learn, torch, tensorflow) Bachelor's degree in a quantitative field from the U.S., Canada, UK, Australia, or New Zealand Expertise in EDA, statistical inference, model evaluation, feature engineering, or experimentation Excellent communication and attention to detail Opportunity Highlights 20–40 hours/week, with potential to scale ...

scipy, scikit-learn, torch, tensorflow) Bachelor's degree in a quantitative field from the U.S., Canada, UK, Australia, or New Zealand Expertise in EDA, statistical inference, model evaluation, feature engineering, or experimentation Excellent communication and attention to detail Opportunity Highlights 20–40 hours/week, with potential to scale ...

scipy, scikit-learn, torch, tensorflow) Bachelor's degree in a quantitative field from the U.S., Canada, UK, Australia, or New Zealand Expertise in EDA, statistical inference, model evaluation, feature engineering, or experimentation Excellent communication and attention to detail Opportunity Highlights 20–40 hours/week, with potential to scale ...

scipy, scikit-learn, torch, tensorflow) Bachelor's degree in a quantitative field from the U.S., Canada, UK, Australia, or New Zealand Expertise in EDA, statistical inference, model evaluation, feature engineering, or experimentation Excellent communication and attention to detail Opportunity Highlights 20–40 hours/week, with potential to scale ...

scipy, scikit-learn, torch, tensorflow) Bachelor's degree in a quantitative field from the U.S., Canada, UK, Australia, or New Zealand Expertise in EDA, statistical inference, model evaluation, feature engineering, or experimentation Excellent communication and attention to detail Opportunity Highlights 20–40 hours/week, with potential to scale ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...