Established in 2007, Accion Microfinance Bank has a mission, "To economically empower micro-entrepreneurs and low-income earners by providing financial services in a sustainable, ethical and profitable manner.” The bank has an extensive branch network where customers have easy access to various products and services that include savings, loans, micro-insurance and e-commerce. Accion Microfinance Bank has solid shareholder investments from three major banks - Ecobank, Zenith Bank and Citi Bank - as well as International Finance Corporation, a subsidiary of the World Bank and Accion Investments - all of which contributes to its strong financial base and allows it to service an ever-increasing number of customers. The bank’s corporate citizenship focuses on education, in which donations of educational materials and supplies are made to pupils of public primary schools. Accion Microfinance Bank has won the Lagos State Enterprise (LEAD) award for Best Microfinance Bank in Lagos State multiple times, and the LEAD Centenary MFB of the Year, for its impact on socio-economic development, its contributions to sustainable development, and its commitment to financial inclusion in Nigeria.
- The role entails reviewing information such as sales figures, logistics or market research, analyzing large amounts of raw information to find patterns that will help improve our company.
Duties of the position
- Work with business leaders to identify problems that can be resolved using data science techn iques.
- Identify valuable data sources and automate collection processes.
- Apply business acumen to develop feasible data-based recommendations that will address organizational issues.
- Undertake preprocessing of structured and unstructured data.
- Mine and analyze data from company databases to drive optimization and improvement of product development, marketing techniques and business strategies.
- Analyze large amounts of information to discover trends and patterns.
- Coordinate with different functional teams to implement models and monitor outcomes.
- Build predictive models and machine-learning algorithms
Qualification
- Bachelor's degree or higher in a relevant field such as Computer Science, Statistics, Mathematics, Data Science, or other quantitative field is preferred.
- Minimum of 3 years proven work experience as a Data Scientist or Data Analyst.
- Experience in data mining.
- Understanding of machine-learning and operations research
- Knowledge of R, SQL and Python; familiarity with Scala, Java or C++ is an asset
- Experience using business intelligence tools (e.g. Tableau) and data frameworks (e.g. Hadoop)
- Analytical mind and business acumen
- Strong math skills (eg. statistics, algebra)
Method of Application
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