peers is your ability to deliver sophisticated analytics in an authentic, down-to-earth, commercially focused manner. Your toolkit includes s egmentation, consumer choice modelling, pricing analytics, econometrics, conjoint & market simulation, data mining & data fusion, market sizing & mapping, brand analytics and much more. Fundamentally, you desire to use analytical … You will work on a wide range of projects from new business generation & client acquisition to proposal writing, data auditing, script checking, analysis and statisticalmodelling, and full debrief preparation and consultancy. Helping to raise your personal profile and that of the consultancy through blogs, thought leadership pieces more »
Manchester, England, United Kingdom Hybrid / WFH Options
Roku
this role are expected to apply knowledge of experimental methodologies, statistics, Reinforcement Learning, Optimisation, Probability Theory, and Machine Learning using code for tool building, statistical analysis, and modelling, using both general-purpose software and statistical languages. The ideal candidate will have endless curiosity and can pair a … can be leveraged by multiple use cases as well as models Model training with batch and real-time prediction scenarios: Use machine learning and statistical modeling techniques such as Reinforcement Learning,Decision Trees, Logistic Regression, Bayesian Analysis, Neural Networks and others to develop and evaluate algorithms to improve product more »
environment. Well versed in scalable data mining and machine learning techniques (using computers to improve as well as develop algorithms)Kernel Methods, Deep Learning, Statistical Relational Learning, Ensemble Methods Model using advanced statistical/mathematical models, predict and segment data to hypothesize/evolve uses cases to monetize more »
environment. Well versed in scalable data mining and machine learning techniques (using computers to improve as well as develop algorithms)Kernel Methods, Deep Learning, Statistical Relational Learning, Ensemble Methods Model using advanced statistical/mathematical models, predict and segment data to hypothesize/evolve uses cases to monetize more »
funding, they're now looking at scaling their team as their client base and products expand. **Responsibilities:** - Analyze complex datasets using advanced analytical and statistical methods to uncover trends, patterns, and relationships. - Develop and deploy machine learning models for predictive and prescriptive analysis. - Create algorithms and statistical models more »
