Data Scientist at Access Bank Plc - How to Apply

We are looking to recruit a Data Scientist in our Data Management Office . This post is for a professional who can offer balanced analytical research, transforming raw data into valuable insights to assist shape the Bank’s activities and plans.

Are you a data professional with a love for machine learning, statistical modelling and extracting actionable insights from complicated data sets? Then here is an opportunity to be part of one of the major financial institutions in Africa.

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Quick Summary of Data Scientist at Access Bank Plc – How to Apply

Company	Access Bank Plc
Category	Job
Job Type	Full Time
Job title	Data Scientist

Location	Lagos, Lagos, Nigeria
Reports to:	Team Lead, Data Science
Experience Required	3-6 years
Application Deadline

About Access Bank Plc

Access Bank Plc is a full service commercial bank, committed to offering a complete service banking experience in Nigeria, Sub-Saharan Africa and the United Kingdom .

The Bank has been listed on the Nigerian Stock Exchange since 1998 and operates its various markets through its 4 business categories; Personal, Business, Commercial and Corporate .

The bank has a comprehensive branch and service outlet network and a diversified customer base consisting of individuals, corporate and institutional clients .

Access Bank is committed to sustainable and responsible business practices, including environmental, social and governance principles into its operations while pursuing profitable and socially meaningful economic growth.

Job Overview:

Provide balanced analytical research by turning raw data into valuable insights that help to drive the Bank’s actions and strategies. Interpret and analyse data from multiple sources to come up with imaginative solutions to problems.

Key Responsibilities

Develop programming in R, 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 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
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
Develop timely, innovative, and objective analysis which leads to fact-based solutions for strategic business issues
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 R, SAS, SQL, Tableau or other analytical development tools with large data sets to design analyses and measure key metrics
Support line of business analytical needs with dashboard/report development through Tableau
Perform other duties as assigned by the Team Lead, Data Science.

Requirements

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

Technical expertise regarding data models, database design development, data mining and segmentation techniques
Strong knowledge of and experience with reporting packages (Business Objects etc.), databases (SQL etc.), programming (XML, JavaScript, or ETL frameworks)
Knowledge of statistics and experience using statistical packages for analysing datasets (Excel, SPSS, SAS etc.)
Strong analytical skills with the ability to collect, organize, analyse, and disseminate significant amounts of information with attention to detail and accuracy
Adept at queries, report writing and presenting findings
Ability to learn and dedication to service delivery
Proficient in office automation tools (e.g. Microsoft Office, etc)
Proficient in SQL
Oral & Written communication
Team building / conflict management
Initiative
Analytical Skills/ Problem solving
Self-Management
Interpersonal Skills
General managerial/ administration

Qualification & Experience

Mandatory

Bachelor’s degree in STEM, computer science, Engineering, or related field
Practical experiences in Machine Learning, NLP, Deep Learning (Tensor flow), Statistical Modelling, Quantitative Analysis, Forecasting, Data Visualization.
3-6 years working experience as a data scientist or business data analyst, preferably in the financial services industry

Desirable