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.