
Job Title: Data Science Lead
Reports To: Head of Finance
Department: Finance
Division: Finance, Legal &ICT
Location: ABSA Tower
Basic Salary: Open
Job Purpose Statement:
- The job holder is responsible for managing the groups data management, analyzing complex datasets, developing predictive models, and providing data-driven insights to enhance decision-making across all Optiven departments
- Developing and implementing data strategies and policies.
- Ensuring data protection compliance and security.
- Overseeing end to end data management including design, capture, analysis, storage and retrial
- Data visualization and interpretation to support business growth.
Duties and Responsibilities:
- Develop and implement data policies in line with organizational objectives and Legal and regulatory requirements.
- Design organization data frameworks in line with Business Requirements.
- Oversee data governance processes to maintain data integrity, security, and accessibility.
- Manage data infrastructure to ensure efficient storage, organization, and retrieval of information.
- Regularly review processes to identify inefficiencies and recommend improvements.
- Collect, clean, and pre-process data from source systems (e.g. ERP, CRM, financial systems, HR records customer feedback platforms etc.).
- Conduct advanced data analysis using statistical models and machine learning techniques.
- Develop predictive models to improve forecasting accuracy and enhance strategic planning.
- Deliver clear, actionable insights to support data-driven decision-making.
- Design, develop, and maintain interactive dashboards to visualize complex data sets for real-time decision-making.
- Analyze data trends and patterns to generate actionable insights for stakeholders
- Detect anomalies in data and conduct root-cause analysis to help departments understand performance gaps.
- Ensure compliance with data protection regulations such as GDPR, DPA, and other relevant laws.
- Implement data governance frameworks aligned with Kenya’s Data Protection Act (2019).
- Ensure compliance with GDPR, ISO 27001, and other relevant standards.
- Monitor data security risks and suggest mitigation strategies.
- Conduct quarterly data audits and enforce role-based access controls.
- Implement robust data security measures and conduct staff training programs to promote data protection awareness.
- Create comprehensive reports that present key metrics, findings, and insights.
- Develop automated and standardized reporting mechanisms aligned with business needs.
- Develop and track key performance indicators (KPIs) to measure the effectiveness of data initiatives.
- Analyze customer segmentation, preferences, and purchase behavior.
- Track and reduce customer churn rates through retention analytics.
- Optimize digital marketing campaigns using web and social media analytics.
- Deploy AI-powered forecasting tools to support.
- Perform A/B testing to optimize marketing campaigns and sales strategies
- Provide quarterly business intelligence reviews to management.
- Stay informed about emerging data science trends, tools, and best practices.
- Identify and implement innovative techniques to improve data analysis, reporting, and operational efficiency.
- Automate repetitive data analysis processes, reducing manual intervention.
- Evaluate and recommend data management systems that enhance the organization’s data capabilities.
- Manage and mentor the data science team.
- Assign tasks, monitor progress, and provide guidance to ensure successful project delivery.
- Foster a collaborative and innovative team environment.
- Perform other duties as maybe assigned from time-to-time.
Qualification And Experience Requirements:
- Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Mathematics or a related field.
- Minimum of 3-5 years of experience in data science or analytics roles, with at least 1-2 years in a supervisory role.
- Certifications in data science, analysis and/or data protection (e.g., Certified Data Management Professional, Certified Information Privacy Professional).
- Strong knowledge of machine learning, statistical analysis, and big data technologies.
- Proficiency in data visualization tools (e.g., Tableau, Power BI) and programming languages (e.g. Python, R).
Competency Requirements:
- Strong analytical & problem-solving skills.
- Ability to translate business problems into data-driven solutions.
- Excellent communication & reporting skills for non-technical stakeholders.
- Hands-on experience with AI, data mining, and predictive modeling.
- Ability to work in a fast-paced, results-driven environment.
- Critical Thinking
- Adaptability
- Innovative
- Collaboration
- Decision-Making
Application Details:
- How to Apply: Submit your application via recruitment@optiven.ke.
- Deadline: Applications close on 15th April 2025.
- Shortlisting Process: Applications will be reviewed on a rolling basis.
- Recruitment Fee: Optiven Group does not charge any fee for job applications, interviews, or placements.
- Communication: Only shortlisted candidates will be contacted due to high application volumes.
- Disqualification: Any form of canvassing leads to automatic disqualification.
- Consent: By applying, candidates agree to allow background checks as necessary.
- Equal Opportunity: Optiven Group is an equal opportunity employer.