Continue reading after the advertisement...
We wish to inform the general public about the ongoing Access Bank Nigeria Plc Data Scientist Recruitment. Before you proceed with the application, kindly read and follow the guidelines below carefully.
Job Summary
As we all know, Access Bank Plc is a financial institution with presence in 9 countries in Africa and the United Kingdom and in all major cities in Nigeria. Also referred to as the Africa's Bank of Best Practice, Access Bank operates on a platform of strong ethics, governance and professionalism.
Access Bank 2019 Recruitment
- Job Title: Data Scientist (Special Purpose Vehicle)
- Application Closing Date: Not Specified.
- Location: Nigeria
SEE ALSO: ENGIE Group Business Developer Recruitment 2019
Job Description
This recruitment seeks to identify potential data science talents who have been sourced from the just concluded data hack and Data science of Nigeria.
The identified talents would be assigned to product within the Bank for data analysis.
Applicant Requirements
- Applicant is expected to exhibit fair idea of the usage of data analytics and engineering tools which include but not limited to Seaborn, Microsoft Azure, Jupyter Notebook et al.
- Demonstrates fair idea of data analytics principles and frameworks.
- He/She must have passion for Excellence: How driven is the candidate.
- Applicant must be willing to learn & grow: Takes correction and immediately implements it during the interview.
- Professionalism:The candidate's response to an ethical question.
- Background:Impact of the candidate's background on his/her value system.
- You Must be Committed to the Bank: Has Researched about the Bank and shows an interest to join.
- Engaged in some previous projects in school(past projects).
- Participation in at least one summit/competition organised by data science of Nigeria or any other relevant professional body.
- Scoring of Data Model on Kaggle.
Benefits
- With this job, it will help the applicant in enhancing analytics capability to support business decisions for some of our products.
- This would ensure we leverage big data analytics for enhanced customer satisfaction.
No comments:
Post a Comment