Data Scientist, Enterprise Products

methods in optimization, machine learning, generative AI, data analysis, data visualization. - Communicates results to technical and non-technical stakeholders at multiple levels. - Independently keeps own knowledge up to date and learns from senior team members, proposing appropriate training courses for personal development. - Collaborates in multidisciplinary cross-functional teams with world leading product managers, designers, engineers, clinicians, data scientists, biological experts, statisticians and IT professionals. Essential - B.Sc. in a relevant field (such as mathematics, computer science, engineering) with an outstanding track-record of industry experience (2+ years) of delivering end to end data science projects in an industry setting. - Demonstrated experience and a sound understanding of a variety of statistical and machine learning methods and standard statistical/ML development practices and drive to continue to learn and develop these skills. - Practical software development skills in standard data science tools: Python, Git, familiarity working in cloud environment and high-performance computing clusters. - Strong communication and teamwork skills. Desirable - Ph.D./M.Sc. degree in rigorous quantitative science (such as mathematics, computer science, engineering). - Advanced statistical and machine learning models such as hierarchical mixed Bayesian models, transformer-based NLP models, reinforcement learning, deep learning models that span CNN/RNN/LSTM, GNNs, constrained optimization, state-of-the-art timeseries & forecasting models. - Experience in data-led solution delivery and software lifecycle development practices including Agile/Scrum and CI/CD within a product team. - Experience within the life sciences industry. Next steps, if the role looks suitable to you, please apply J-18808-Ljbffr