Data Scientist at Access Bank Plc

ABOUT US

Access Bank plc, commonly known as Access Bank, is a Nigerian multinational commercial bank, owned by Access Bank Group. It is licensed by the Central Bank of Nigeria, the national banking regulator.

Originally a corporate bank, they expanded into personal and business banking in 2012. Access Bank and Diamond Bank merged on April 1, 2019. In conclusion of its merger with Diamond Bank,

Access Bank unveiled its new logo, signalling the commencement of a new enlarged banking entity. The bank employs more than 28,000 people in 2021.

After the merger, with more than 50 million customers, Access Bank plc became the largest bank in Africa by customer base, and the largest bank in Nigeria by asset.

Job Type: Full Time

Qualification: BA/BSc/B.Eng./MSc. in quantitative subjects such as Mathematics, Statistics, Computer Science, Physics, Engineering etc.

Experience: 5+ years

Location: Lagos

Job Field: Data Science, Advanced Analytics, Artificial Intelligence

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