4 of 4 Permanent Statistical Inference Jobs in the UK excluding London

Highly proficient in writing optimized, complex queries across large cloud data warehouses (e.g., Snowflake, BigQuery). Programming & Modelling: Strong proficiency in Python for statistical modeling, forecasting, and machine learning. Statistics & Math: Deep understanding of statistical inference, regression analysis, probability theory, decision trees, and hypothesis testing (p-values … quantitative analytics or data science role in a fast‐paced environment. Business Acumen: Demonstrated track record of framing business problems into mathematical/statistical frameworks and outputting actionable recommendations. Communication: Ability to distill complex statistical concepts into clear, plain language for non‐technical executives. Nice‐to‐Haves: Experience ...

professional expertise in data science, computer science, statistics, mathematics, artificial intelligence, machine learning or another relevant quantitative discipline. Strong practical experience applying data science, statistical modelling and machine learning to complex real-world problems. Advanced proficiency in Python and/or R, SQL and modern data-analysis and machine … professional expertise in data science, computer science, statistics, mathematics, artificial intelligence, machine learning or another relevant quantitative discipline. Strong practical experience applying data science, statistical modelling and machine learning to complex real-world problems. Advanced proficiency in Python and/or R, SQL and modern data-analysis and machine ...

Data Scientist Organisation BBC Organisation BBC Locations Salford, UK Application Deadline 2 days remaining Apply statistical and machine learning techniques to answer business questions and improve understanding of audience behaviour, combining data from multiple sources including digital activity data, audience panels and surveys. Contribute to the design, development … mathematics, statistics, computer science, econometrics or related field, or equivalent work experience. Strong analytical and problem-solving skills, with experience applying data science and statistical techniques to solve business problems by translating ambiguous business questions into practical analytical solutions and selecting appropriate methods, models or algorithms. Understanding of statistical ...

stage of the consumer’s lifecycle. Experience overseeing experimentation programmes and practices that inform product or business decisions. A good understanding of methods for statistical inference (e.g. Bayesian, Frequentist) and familiarity with predictive analytics techniques is highly beneficial. Working knowledge of common analytics tools used for tracking ...