6 months ago
Experience using Python, R or Spark
Detailed knowledge on a range of AI techniques:
machine learning techniques, deep learning, graph data analytics, statistical analysis, time series, geospatial, NLP, sentiment analysis, pattern detection.
Strong software engineering skills
Knowledge of SQL Experience using the latest Data Science platforms
Hadoop and streaming technologies
Knowledge of bayesian statistics
Deep understanding of data manipulation/wrangling techniques
Delivering insights using visualisation tools or libraries
Experience building and deploying solutions to Cloud
Knowledge of Machine Learning and/or Cognitive Computing
Ability to think strategically about client challenges and converting them through technical solutions.
Experience designing Data Science deliveries, planning projects and/or leading teams
A Life Science background is beneficial but not necessary.
Ideally 3+ years commercial experience, however less would be considered where true passion or obsession with AI can be demonstrated.