• Application Deadline: Thu, 19 Oct 2023 00:00:00 GMT
• Position: Data Scientist


• Job Type Full Time


• Qualification BA/BSc/HND


• Experience 3 - 10 years


• Location Lagos


• Job Field Data, Business Analysis and AI 
  


• Salary Range ₦750,000 - ₦1,000,000/month
  

Job Overview: As a Data Scientist, you will play a pivotal role in leveraging data and machine learning techniques to extract actionable insights, develop predictive models, and enhance our digital financial services offerings. You will collaborate with cross-functional teams to drive data-driven decisions and continuously innovate in the financial services sector.

Key Responsibilities:

Data Analysis and Exploration:

• Collect, clean, and preprocess large datasets from various sources.


• Perform exploratory data analysis to uncover patterns, trends, and anomalies.


• Develop a deep understanding of the financial services industry and our data ecosystem.

Predictive Modeling:

• Design and implement machine learning models for tasks such as credit risk assessment, fraud detection, customer segmentation, and recommendation systems.


• Fine-tune and optimize models for accuracy and performance.


• Conduct A/B testing and experiments to validate model effectiveness.

Data Visualization:

• Create informative and visually appealing data visualizations to communicate insights to both technical and non-technical stakeholders.


• Build interactive dashboards using tools like Tableau, Power BI, or similar.

Feature Engineering:

• Identify and engineer relevant features to improve model performance.


• Collaborate with data engineers to develop scalable data pipelines for model deployment.

Collaboration and Insights:

• Collaborate with cross-functional teams including product, marketing, and IT to identify opportunities for data-driven improvements.


• Provide actionable insights and recommendations based on data analysis and modeling results.


• Communicate complex findings in a clear and understandable manner.

Model Deployment and Monitoring:

• Deploy models into production environments and ensure their ongoing performance and accuracy.


• Implement model monitoring and maintenance procedures.

Qualifications:

• Bsc. in Data Science, Computer Science, Statistics, or a related field.


• Proven experience as a Data Scientist in the financial services or fintech industry.


• Proficiency in programming languages such as Python or R.


• Strong knowledge of machine learning techniques, including supervised and unsupervised learning.


• Experience with data visualization tools and libraries.


• Knowledge of big data technologies (e.g., Hadoop, Spark) is a plus.


• Strong problem-solving skills and the ability to work on complex, unstructured problems.


• Excellent communication and presentation skills.


• Ethical considerations and awareness of data privacy and security regulations.