As a leading provider of data science, we are always on the lookout for new talent. We pride ourselves in bringing innovation to our clients and so, to succeed, we need team members who bring something extra to our pool of talent.
The data science profession is still in its infancy and so we should explain what we think makes a data scientist. A data scientist is an explorer: They need to solve complex technical problems but they themselves need to define which problems should be solved. A data scientist takes raw data and marries it with powerful analysis to bring value to our clients. This requires many skills: mathematics, a deep understanding of algorithms, empathy for human behaviours, industry knowledge and great presentation skills. Because of the breadth of skills and the diversity of the challenges which our clients present to us, strong team skills are vital.
It is not necessary to be a programmer to be a skilled data scientist. Traditional IT systems are built to process a flow of transactions correctly. The data scientist is not interested in the transactions and looks at the resulting data holistically. This means that different tools and languages are used for data science than are used in mainstream IT. JTA recruits from a wide range of disciplines. We have mathematicians, engineers, bio scientists, economists, physicists and computer scientists. We value problem solving abilities far higher than the ability to program a computer.