As an ideal candidate you will have:
Bachelor's or masters degree in computer science statistics or a related field
6 years of experience in data science machine learning or related fields with a
track record of delivering impactful datadriven solutions
Hands on experience in model building validation and productionising
Deep understanding of machine learning algorithms and techniques including
supervised and unsupervised learning deep learning LLM NLP and computer vision
Experience with big data technologies and platforms (e.g. Hadoop Spark SQL) for
scalable data processing and analysis
Strong proficiency in programming languages such as Python R and Java
Experience with cloudbased data storage and computing platforms such as AWS
Azure and Google Cloud
Experience with deep learning frameworks such as TensorFlow Keras and PyTorch
Familiarity with agile development methodologies and project management tools
such as Jira
Strong communication and interpersonal skills
Ability to work collaboratively with crossfunctional teams
Knowledge of healthcare or the pharmaceutical industry is a plus