Decision Inc. is currently looking for a young and ambitious Senior Data Scientist to join our Data Information and Analytics team as a client-facing, permanently employed consultant. Good communication and collaboration skills are therefore essential, as well as great statistical ability on at least one platform (R, Python, SAS or SPSS). There will be exposure to a wide range of industries, so the ability to quickly understand new business environments is essential. Who Are We? Decision Inc. is a leader in enabling its clients to make better decisions, faster. The company’s foundation is built in technology; however, what makes us unique is our understanding of effective decision making. We represent the following leading global technology brands and are experts in the implementation, support and execution of these technologies: Qlik, Microsoft BI (SQL, SSIS, SSRS, SSAS, PowerBI), Tableau, R, Python, Alteryx and SAP. What Will You Do? Identify and develop predictive and prescriptive models to enable better decision making for our clients. Participate in analysis and design sessions and work with business analysts to determine the best fit solution for our clients. Delve for insights in client data and processes to help improve their businesses. Integrate models into existing or new BI solutions with the rest of the consulting team. Communicate progress with the client and project teams. Produce insight and recommendation reports and presentations. Who Do You Need To Be? Candidates must have a relevant qualification in Actuarial Science or a Masters in Applied or Pure Mathematics, Statistics, Economics or any other relevant analytical field, CA(SA) or BEng, BSc (preferably Honours), BComm (preferably Honours). 5 years of working experience in SQL or Oracle. 4 years of working experience in either R, Python, SAS, MATLAB, Rapid Miner or SAP Predictive Analytics. Be in possession of a valid driver’s licence and own transportation. Whats in it for you? Exposure to multiple clients across a variety of industry verticals (Retail; Manufacturing; Logistics; Telcos; Financial Services; Mining; Public Enterprise). Success-driven culture that rewards great performance. Excellent training opportunities – we place a big focus on up‑skilling our employees to be the best they can be and will assist you in obtaining your certifications within your relevant technology. We believe in cross‑skilling and offer our consultants an opportunity to be exposed to multiple stats, BI and data technologies. When joining the company a clear career development plan will be drawn up for you to help you reach the next level in your career. #J-18808-Ljbffr