Job Title:                     Data Scientist

Industry:                      Financial Services Institution

Location:                     Nigeria

Salary:                         Competitive Salary Package + Benefits

Job Description

• Support the implementation of the Data Science & Analytics as an enterprise capability in line with framework, analytics vision, strategies, roadmaps & projects
• Design, develop and deploy statistical and mathematical models to solve critical financial services & operational business problems
• Apply machine learning and AI techniques to financial services & operational business problems to deliver differentiated value
• Continuously engage stakeholders to gather requirements, viewpoints and perspectives
• Support the development and management of enterprise analytics requirements
• Maintain analytics tools capability catalogs
• Serve as subject matter expert on available visualization & analytical tools i.e. features, capabilities and best practices
• Support capability increments by conducting training/info sessions with analytics stakeholders and business users with the overarching objective of insight driven enterprise transformation
• Keep abreast of changes in visualization tools marketplace and changes to existing enterprise tools
• Provide quarterly change impact assessment on existing visualization tools where applicable
• Develop analytics solutions leveraging a variety of available tools as assigned based on requirements and assigned priorities
• Build ingestion processes to, prepare, extract, and annotate a rich data variety of structured & unstructured data sources
• Participate in working group meetings as required
• Collaborate closely with other teams within the CDO office to ensure consistency and a synchronized approach to all data related issues
• Serve as a resource on projects as required
• Ensure that all analytics operations are aligned to the enterprise analytics strategy & initiatives are synchronized where possible
• Other related duties as may be assigned

Education/Experience Requirements

• Bachelor's Degree in Maths, Statistics, Computer Science or Other relevant quantitative disciplines
• 3 to 5 years working experience working in data science or statistical analysis role
• Experience with statistical modeling for predictive analytics
• Experience working with large datasets
• Experience designing and implementing complex analytical models
• Experience with Machine Learning algorithms and techniques
• Experience creating informative data visualizations
• Understanding of sampling techniques;
• Understanding of descriptive and inferential statistics concepts;
• Experience with python & R
• Experience with data profiling, SQL and other query methodologies
• Exposure to data quality management principles
• Analytical and problem-solving skills
• Some exposure to project management principles and practices is preferred
• Strong interpersonal and communication skills
• Strong conflict management skills
• Strong attention to details and good time-management skills