Retail Data Scientist At Ncba Group

JOB PURPOSE STATEMENTThe job holder will be the data science lead for retail working with other stakeholders in the bank to develop statistical and econometric models that utilize the vast amount of data resources the bank holds to;Drive informed data driven decision making.Generate value through predictions of customer behaviour that will drive high quality and well-informed customer engagements, sales campaigns, product & CVP development etc.JOB SPECIFICATIONSAcademic:Bachelor's degree in Statistics, Mathematics, Computer Science, Machine Learning, Economics, or any other related quantitative field. Working experience of the equivalent is also acceptable for this position.Professional:Big Data or Data Science certification from recognized institutionsDesired work experience:At least 6 years working experience working with business analysis/informatics and business outcomes research within a fast-paced and complex business setting.JOB COMPETENCIESTechnical CompetenciesDemonstrate a passion for research, statistics, and data analysis as well as a demonstrated ability and passion for designing and implementing successful data analysis solutions within a business.Strong understanding of data-mining techniques and an ability to apply these techniques in practical real-world business issues.Demonstrate an ability to consider data, identify patterns, issues, or data analysis needs for the businessSkills in the workings of SQL and scripting languages such as Python and Perl as well as familiarity with statistical analysis, data visualization, and data cleansing tools and techniques.Demonstrate strong skill in statistical techniques inclusive of cluster-analysis test design, regressions, and forecasting methodologies as well as substantial familiarity in big data and standardizing and A/B testing.Behavioral CompetenciesSelf-motivated and result orientedExcellent planning and organization skills.Effective communicator with good interpersonal skillsAbility to work under pressure and meet strict deadlines with minimal supervision.Analytical and decisiveGood Interpersonal skillsPragmatism and problem-solving skills