Job Description

First Bank of Nigeria Limited is a premier financial institution committed to providing innovative and reliable banking solutions to our customers. As we continue to embrace data-driven decision-making and analytics, we are seeking a highly skilled and motivated Data Scientist to join our team. This role presents a unique opportunity to leverage data to gain insights, drive strategic initiatives, and contribute to the ongoing success of First Bank of Nigeria Limited.

Position Overview:

As a Data Scientist at First Bank of Nigeria Limited, you will play a crucial role in extracting actionable insights from vast datasets to inform business strategies, enhance customer experiences, and optimize operational processes. You will work collaboratively with cross-functional teams, utilizing advanced analytics and machine learning techniques to unlock the full potential of data. The ideal candidate will have a strong foundation in data science, a passion for driving innovation through analytics, and the ability to make impactful contributions to our dynamic financial institution.

Key Responsibilities:

1. Data Analysis and Exploration:
   • Utilize statistical methods and machine learning algorithms to analyze large datasets and extract meaningful insights.
   • Explore and visualize data to identify patterns, trends, and correlations that can inform business decisions.
2. Predictive Modeling:
   • Develop and implement predictive models to forecast business outcomes, customer behaviors, and market trends.
   • Apply machine learning techniques to enhance the accuracy of predictions and recommendations.
3. Customer Segmentation and Personalization:
   • Segment customers based on their behavior, preferences, and demographics to enable targeted marketing strategies.
   • Implement personalization strategies to enhance customer experiences across various channels.
4. Fraud Detection and Risk Management:
   • Implement advanced analytics models for fraud detection and risk assessment.
   • Collaborate with risk management teams to enhance the effectiveness of risk mitigation strategies.
5. Operational Optimization:
   • Collaborate with operational teams to identify areas for optimization and efficiency improvement.
   • Develop models to optimize resource allocation, streamline processes, and reduce operational costs.
6. Data Governance and Quality Assurance:
   • Implement data governance practices to ensure the accuracy, completeness, and reliability of data.
   • Collaborate with data engineers to maintain data quality standards and resolve data-related issues.
7. Cross-Functional Collaboration:
   • Collaborate with business analysts, IT teams, and other stakeholders to understand business requirements and objectives.
   • Translate business problems into data science solutions and communicate findings to non-technical stakeholders.
8. Continuous Learning and Research:
   • Stay abreast of the latest developments in data science, machine learning, and analytics.
   • Conduct research to explore and recommend new tools, techniques, and methodologies for data analysis.

Qualifications and Skills:

• Master’s or Ph.D. in a quantitative field such as Statistics, Computer Science, Data Science, or related disciplines.
• Minimum experience: 3 years as a data scientist
• Proven experience as a Data Scientist or in a similar role, preferably within the financial industry.
• Proficiency in programming languages such as Python or R for data analysis and machine learning.
• Experience with machine learning frameworks and libraries (e.g., TensorFlow, scikit-learn, PyTorch).
• Strong understanding of statistical analysis, hypothesis testing, and experimental design.
• Knowledge of data visualization tools (e.g., Tableau, Power BI) for effective communication of insights.
• Familiarity with big data technologies (e.g., Hadoop, Spark) is a plus.
• Strong problem-solving and analytical skills.
• Excellent communication and presentation abilities.
• Ability to work collaboratively in a dynamic and fast-paced environment.