Manager, Data Science & AI
Location: Abuja (FCT)
Employment Type: Full-time
Description
- Our client is seeking an experienced Manager, Data Science & AIto lead hands-on data science and AI initiatives across its programmes.
- The role will focus on data engineering, predictive analytics, AI-enabled solutions, dashboards, data quality, and actionable insightsto support programme and business decisions.
- The ideal candidate will combine strong technical expertise with analytical thinking, team leadership, and the ability to translate complex data into clear recommendations for non-technical stakeholders.
Key Responsibilities
- Lead and contribute todata science and AI projects, including predictive analytics, AI-enabled health tools, and digital health dashboards.
- Design and overseedata pipelines, data models, integrations, and multi-source data structures.
- Conduct statistical and machine learning analyses, includingregression, classification, clustering, and forecasting.
- Develop and review decision-focused dashboards usingPower BI or Tableau.
- Establish data quality, validation, governance, and documentation standards across partner datasets.
- Manage and mentordata scientists and data engineers, reviewing technical outputs for quality and rigour.
- Work with programme teams to identify performance drivers, generate insights, and translate findings into actionable recommendations.
- Provide technical input intoproposals, concept notes, partnerships, and AI/data-driven solutions.
- Collaborate with technology partners on data architecture, model development, and system integration.
- Present technical findings clearly tomanagement, clients, funders, government stakeholders, and other non-technical audiences.
- Support responsible AI practices, includingdata governance, consent, ethical AI, data security, and validation of AI/LLM-assisted outputs.
- Ensure compliance with applicable data protection requirements, including theNigeria Data Protection Act (NDPA) 2023.
Requirements & Qualifications
- Interested candidates should possess a Bachelor's Degree
- 6–8 years' experience in Data Science, Data Engineering, AI/ML Engineering, or Applied Analytics, with experience managing or mentoring technical teams.
- Advanced SQL, including complex joins, aggregations, window functions, and multi-source data analysis.
- Strong Python skills, particularly pandas, NumPy, Matplotlib/Plotly, scikit-learn, and statsmodels.
- Strong knowledge of machine learning and statistical analysis, including supervised/unsupervised learning and time-series forecasting.
- Proficiency in Power BI or Tableau, including DAX/calculated fields, plus strong Excel skills including Power Query and Power Pivot.
- Working knowledge of Microsoft Azure or AWScloud data platforms.
- Strong analytical and statistical reasoning, with the ability to independently interpret data, test hypotheses, and defend conclusions.
- Proven ability to communicate complex technical findings to non-technical and senior stakeholders.
- Postgraduate qualification in Data Science, Computer Science, Statistics, or a related quantitative field is an advantage.
Desirable Experience:
- Experience with AI-enabled health tools, digital health, health systems data, RHIS/HMIS, or development programmes.
- Knowledge of responsible AI, data governance, consent frameworks, or data protection.
- Experience with telecom/mobile network data ecosystems.
- Familiarity with AI/LLM tools for data and reporting workflows, with strong validation practices.
- Experience with Git/version control.
- Experience working in Nigeria or other emerging markets.
Application Closing Date
21st Sepetmber, 2026.
How to Appyly
Interested and qualified candidates should send their CV to: recruitment@protenintl.com using ''Manager, Data Science & AI'' as the subject of the email.
Note: Only qualified candidates would be contacted.