data quality are understood by stakeholders. Key Responsibilities Responsible for designing effective, efficient data models to support various types of data exploitation (reporting, analytics, predictivemodelling) Lead the development and maintenance of the IM platform, setting coding standards. Design, implement, and maintain data pipelines for data ingestion, processing … data analytics, architecture and design including cloud/hybrid Solid in end-user and visualisation tools and proficient in equivalent technologies Experience in data modelling methodologies Experience with evolving technologies i.e. Big Data, Real Time Analytics, Predictive Analytics, Bots Experience with emerging practices i.e. Agile, DataOps more »
UNIT 4B CHELMSFORD ROAD, INDUSTRIAL EST, GREAT DUNMOW, ESSEX, England
C M S CORPORATE MAILING SOLUTIONS LTD
you'll have the opportunity to dive into a diverse range of tasks and objectives, from delving into simple data analysis to tackling complex predictivemodelling and machine learning algorithms. Role Your role will involve not only working on data projects but also contributing to system development for more »
play a pivotal role in shaping their data strategy. The ideal candidate will collaborate closely with cross-functional teams to solve complex problems, build predictive models, and drive innovation through data-driven approaches. Responsibilities : Analyse large, complex datasets to extract valuable insights and identify trends/patterns. Develop and … effectively to both technical and non-technical audiences through reports, presentations, and visualisations. Interpret field and laboratory sensor data for detection and prediction. Create predictive models from scratch to reinforcing the learning. Qualifications : Bsc, Master's or Ph.D. in Computer Science, Statistics, Mathematics, or a related quantitative field. Proven more »
and development creating an active learning system, in which model predictions guide lab experiments, lab automation generates high-throughput data for model training , and predictive models are updated as new data are generated . ASTRAZENECA With one of the broadest and deepest Oncology pipelines in the industry , there are … paced Oncology field. What you'll do You will work closely with our R&D scientists in fields of software engineering , lab automation, computational modelling and machine learning , with access to biologics R&D data across AstraZeneca constantly generating new data to both build and inform predictive models more »
