Access Bank Plc is a full service commercial Bank operating through a network of about 366 branches and service outlets located in major centres across Nigeria, Sub Saharan Africa and the United Kingdom. Listed on the Nigerian Stock Exchange in 1998, the Bank serves its various markets through 4 business segments: Personal, Business, Commercial and Corporate & Investment banking. The Bank has over 830,000 shareholders including several Nigerian and International Institutional Investors and has enjoyed what is arguably Africa's most successful banking growth trajectory in the last ten years ranking amongst Africa's top 20 banks by total assets and capital in 2011. As part of its continued growth strategy, Access Bank is focused on mainstreaming sustainable business practices into its operations. The Bank strives to deliver sustainable economic growth that is profitable, environmentally responsible and socially relevant.
Qualification:
- BA/BSc/B.Eng./MSc. in quantitative subjects such as Mathematics, Statistics, Computer Science, Physics, Engineering etc.
Experience:
JOB DESCRIPTION
- As a Data Scientist, you shall extract insights from large volumes of data. Your work shall be crucial for identifying growth levers, optimizing marketing efforts, improving user experience, and ultimately, increasing our user base and ecosystem value.
YOUR IMPACT
- Perform predictive and prescriptive analytics to understand the behaviour, preferences, segmentation, and trends of the Bank’s customers.
- Design and conduct experiments to test growth hypotheses on user acquisition or engagement strategies.
- Understand the user journey, identify bottlenecks, and provide insights to improve the user experience and increase retention.
- Monitor the Financial services landscape and competitors to identify growth opportunities and challenges.
- Develop and maintain metrics, data pipelines, and dashboards to guide and drive business decisions.
- Utilize Machine Learning, Advanced Analytics, and Artificial Intelligence to solve problems creatively.
REQUIRED COMPETENCIES
You'll bring the following required skills.
- Strong experience in handling data and Exploratory Data Analysis
- Proven knowledge and experience in software development lifecycle (SDLC) practices.
- 5+ years of experience in Data Science / Statistical Modelling / Machine Learning
- Experience in working with unstructured data (e.g., text, audio, images)
- Understanding of data flows, data architecture, ETL and processing of structured and unstructured data.
- Experience with common Advanced Analytics technologies such as NLTK, Transformers-based technologies, GPT-4
- Proven experience with different types of models – Predictive Analytics, Deep Learning, Time series techniques, etc.
- Experience with cloud technologies such as GCP, AWS or Azure, etc
- Experience with programming and querying languages such as R, SQL, and Python
- Experience with data visualisation tools, such as Power BI, Tableau, etc.
- Strong analytical skills with the analyse large datasets in solving complex business problems.
- PhD / MS in one of the following areas - Maths, Engineering, Economics, Physics, Operations Research, or any other quantitative discipline
BEHAVIOURAL COMPETENCIES
- Self-starter, proactive thinker on emerging risks, and positive 'can-do' attitude with the initiative to do what needs to be done to best meet our business objectives.
- Ability to collaborate with multiple stakeholders is a key skill to be successful in this role.
- Strong documentation skills, and ability to write succinct technical reports.
- A strong understanding of statistical concepts
- Excellent verbal and written communication skills with strong attention to detail
Method of Application
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