enable companies in the entertainment industry to significantly increase profit margins. You ll use a raft of different techniques from timeseries analysis to bayesianstatistics, reinforcement learning & Monte Carlo Simulations. Your Experience : You ll likely come from a strong quantitative degree background in Science or Maths andmore »
Experience building data visualizations and dashboards (e.g., Tableau or similar BI solution) Desirable but not essential is experience of GCP/AWS andBayesianStatistics Consumer Strategy We see the big picture across the Consumer Group; creating insight-led strategies which deliver great value for consumers andmore »
or Master in statistics, data science, computer science, mathematics or a related field Strong interest in modeling, probability andstatistics (time series predictions, bayesian inference, machine learning among other hot topics) Experience forecasting US sport events Highly proficient in Python and the main data science libraries Interest more »
on the components that are difficult or require experience to implement. Examples of the type of project you might work on include using Bayesian hierarchical modelling to develop an early warning system for the NHS during the COVID-19 pandemic , modelling 3D point cloud data to identify … statistics A solid grasp of essentially all of the standard data science techniques, for example, supervised/unsupervised machine learning, model cross validation, Bayesian inference, time-series analysis, simple NLP, effective SQL database querying, or using/writing simple APIs for models. We regard the ability to more »
are looking for: Experience developing MMM models, not just using off-the-shelf tools but developing the models themselves A strong background in Bayesianstatistics Experience as a Mid-or-Senior level Data Scientist Solid knowledge of Data Engineering principles, including productionisation Technical experience with some or more »
effective client relationships to add value in a rapidly evolving environment. Required Knowledge In-depth expertise and hands-on experience with advanced evidence synthesis methods is essential. The role requires a good understanding of the health care sector and the pharmaceutical market, as well as general consulting methodologies and … protocols (SAP) and conduct of feasibility assessments, evidence synthesis by means of meta-analysis, indirect treatment comparison or network meta-analysis (frequentist or Bayesian) with patient-level and/or aggregate data from RCTs Provide senior technical and statistical leadership and effective ad hoc problem-solving support … and maintain effective client relationships Driving development Establish research credentials and further the wider IQVIA profile in evidence synthesis through the development of innovative methodsand the dissemination of research outputs in peer-reviewed journals and scientific conferences Support the development of product offerings and internal process optimization as more »
the business. They want someone to develop their statistical tooling to support their in-house experimentation platform. You will also lead research in new methods for experimentation.. ie. how to scalably define Bayesian priors for any given metric? Key skills/experience required: - Experience working with more »