Team Lead, Data Science at Access Bank PLC

Lagos, Lagos State, Nigeria -

Full Time

Start Date

Immediate

Expiry Date

13 Jun, 26

Salary

0.0

Posted On

15 Mar, 26

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, SAS, SQL, Statistics, Mathematics, Machine Learning, Gradient Boosted Trees, CNN, RNN LSTM, R, Scikit Learn, Pandas, Numpy, Jupyter, MATLAB, C/C++

Industry

Banking

Description

Provides 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 Responsibilities Develop programming in Python, SAS, SQL or similar analytical development tools Maintain knowledge in statistics, mathematics and/or comparable quantitative area of expertise Responsible for collaborating with analysts to facilitate the development and application of advanced analytic strategies and tactics Ascertain 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 goals Establish parameters of ad hoc analyses by setting appropriate timeline and work quality guidelines Develop timely, innovative, and objective analysis which leads to fact-based solutions for strategic business issues Assist in the development of the problem definition and hypothesis formulation process as it relates to the specific business environment Conduct analyses, formulate insights, and summarize and synthesize findings for presentation to line of business management Maintain an understanding of general business trends and requirements for the major area of support, and understand the link between analysis and business impact Utilize Python, SAS, SQL, Power BI or other analytical development tools with large data sets to design analyses and measure key metrics Facilitate development and application of advanced analytic strategies and tactics Support line of business analytical needs with dashboard/report development through Tableau and SAP BO Required 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 Seaborn Excellent communication and presentation skills Highly organized and experienced in leading/managing complex projects, initiatives and development This is an Individual Contributor role. Good applied statistics skills, such as distributions, statistical testing, regression, etc. Data-oriented personality Ability to manage multiple and competing priorities Qualification & Experience Mandatory Bachelor’s degree and Master's Degree in computer science, Engineering, or related field Practical 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. Desirable Experience supporting large-scale or highly regulated financial institution Only shortlisted candidates will be contacted. Applications close 11:59pm on Thursday, 19th March 2026

Responsibilities

This role involves providing balanced analytical research by transforming raw data into valuable insights to drive bank strategies and interpreting data from multiple sources to develop imaginative solutions. Key duties include developing programming in analytical tools and collaborating with analysts to apply advanced analytic strategies to business problems.