Job Description
Principal Data Scientist – Dublin/Remote Gibbs Hybrid is looking for an accomplished Principal Data Scientist to support a Dublin based client with a large data transformation programme. You will be required onsite a few days a week. You will liaise with senior stakeholders, delegate across multiple teams and work closely with global teams. – Research and apply advanced machine learning methods to develop new and augment existing products that solve important problems faced by the healthcare system. • Use natural language processing to quantify and find patterns in free form clinical text – Design and execute experiments from data gathering, cleaning and analysis through to presentation and delivery of results. – Communicate complex data science concepts and results in an accessible manner to various stakeholders including technical experts, clinicians, and business leaders. Essential: * Strong experience in Pyspark and SQL * Strong programming skills in R, Python, and/or Scala. … Financial services experience helpful * A well-rounded data science skill set including the ability to explain algorithmic processes/outputs. • Ability to communicate effectively with a wide range of internal and external stakeholders. * Ability to deal with multiple priorities. * Astute attention to detail and the integrity to openly report errors in a timely fashion. * A passion for solving problems and making a difference with data science. • Experience of gathering requirements from, and documenting processes for, end users. * Experience in building strong business relationships as a trusted partner. * Experience with reinforcement learning. * Experience developing patentable ideas and products. • Experience delivering data science education/training materials. Click Apply now/Contact Lianne to be considered for the Principal Data Scientist – Dublin/Remote role Company: Gibbs Hybrid Qualifications: Language requirements: Specific requirements: Educational level: Level of experience (years): Senior (5+ years of experience) Tagged as: Industry, Machine Learning, Natural Language Processing, NLP, Unspecified #J-18808-Ljbffr