Data Science Team Lead

Team Lead, Data ScienceLocation: Lagos, Lagos, NigeriaDepartment: Information TechnologyWorkplace: on_siteEmployment Type: fullDescriptionProvides balanced analytical research by turning raw data into valuable insights that help to drive the Bank’s actions and strategies. Interprets and analyses data from multiple sources to come up with imaginative solutions to problems.Key ResponsibilitiesDevelop programming in Python, SAS, SQL or similar analytical development toolsMaintain knowledge in statistics, mathematics and/or comparable quantitative area of expertiseResponsible for collaborating with analysts to facilitate the development and application of advanced analytic strategies and tacticsAscertain and apply strategies to identified business problems and existing organizational processes in order to provide leaders with insightful resources for decision-making and to increase sales, profit, market share, and achieve enterprise goalsEstablish parameters of ad hoc analyses by setting appropriate timeline and work quality guidelinesDevelop timely, innovative, and objective analysis which leads to fact-based solutions for strategic business issuesAssist in the development of the problem definition and hypothesis formulation process as it relates to the specific business environmentConduct analyses, formulate insights, and summarize and synthesize findings for presentation to line of business managementMaintain an understanding of general business trends and requirements for the major area of support, and understand the link between analysis and business impactUtilize Python, SAS, SQL, Power BI or other analytical development tools with large data sets to design analyses and measure key metricsFacilitate development and application of advanced analytic strategies and tacticsSupport line of business analytical needs with dashboard/report development through Tableau and SAP BORequirementsRequired Knowledge, Skills and Abilities: Understanding of machine learning techniques and algorithms, such as Gradient Boosted Trees, CNN, RNN LSTM, etc.Knowledge and moderate proficiency in R, Python (scikit learn, pandas, numpy, Jupyter etc.) SAS, SQL, MATLAB, C/C++Experience with data visualization tools ex Power BI, Matplotlib and SeabornExcellent communication and presentation skillsHighly organized and experienced in leading/managing complex projects, initiatives and developmentThis is an Individual Contributor role.Good applied statistics skills, such as distributions, statistical testing, regression, etc.Data-oriented personalityAbility to manage multiple and competing prioritiesQualification & ExperienceMandatoryBachelor’s degree and Master's Degree in computer science, Engineering, or related fieldPractical experiences in Machine Learning, NLP, Deep Learning (Tensor flow), Statistical Modelling, Quantitative Analysis, Forecasting, Data Visualization.10 + years working experience as a data scientist or business data analyst, preferably in the financial services industry with at least 2 years of leadership experience.Must possess relevant professional qualifications.DesirableExperience supporting large-scale or highly regulated financial institutionOnly shortlisted candidates will be contacted.Applications close 11:59pm on Thursday, 19th March 2026