• Experience in developing and owning software solutions in Python to novel problems with unpredictable input (examples include computer vision, signal processing, machine learning, cell-counting, etc.)
• A background in applying fundamental statistical concepts to complex real-world problems
• A track-record in identifying and experimenting with a variety of data-driven algorithmic techniques, and an ability to relate context to modelling and analysis assumptions
• Experience in the design of experiments and working with data to form hypotheses and solve problems
• Experienced at communicating effectively with technical and non technical stakeholders
• Able to take a pro-active lead to defining and solving problems
• Highly proficient with standard data science techniques e.g. pandas, matplotlib, seaborn etc. to clean and manipulate messy data to gain insights and visualise
• Experience developing solutions that utilise computer vision and image processing techniques

Desirable

• Work within a multi-disciplinary team to identify and implement new technical approaches to improve the performance of our products and help us deliver better solutions and provide more value to patients, clinicians and healthcare systems. Expect creative thinking, and stepping outside your area of expertise
• Share your technical expertise and knowledge and provide mentorship to improve capabilities across the team and wider company
• Contribute to our existing data science capability and communicate key analyses and results within Entia
• Be pro-active in helping to develop an understanding of our problem space, and help us test and develop faster