Organizations are operating in an increasingly complex environment. They extend across traditional boundaries in both market reach and operational footprint. Operations often involve messy and complicated human interactions either through customers, partners, and/or employees.
Long considered an impenetrable fortress dominated by a few well-known names, the banking and financial services industry is currently riding a giant wave of entrepreneurial disruption, disinter-mediation, and digital innovation. Everywhere, things are in flux. New, venture-backed arrivals are challenging the old powerhouses. Banks and financial services companies are caught between increasingly strict and costly regulations, and the need to compete through continuous innovation.
The factory environment is a data scientist’s paradise: both highly multivariate and relatively quantifiable.” – Travis Korte
When you think of the perfect candidate for a data science role, a few preconceived notions come to mind. You want someone who is analytical, detail-oriented and intuitive — all important qualities in a data scientist. But there is more to data science than being good with numbers — the core of a data scientist’s role involves influencing decision-makers within the business and guiding the future of the company.
‘Data Science’ was more an esoteric buzzword than an organizational necessity, leaders of fledging Data Sciences and analytics divisions focused one key goal – ‘growth’. Today, with increasing demand of data scientists across sectors and the explosive expected growth in its software and services, the same leaders have a new goal – how to drive value and impact while maximizing efficiency.