Data Scientist at Access Bank Plc

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.

We are recruiting to fill the position below:

Job Title: Data Scientist

Location: Lagos
Job Schedule: Full time (On-site)
Job Grade: ABO - BO
Reports to: Team Lead, Data Science
Group: Data Management Office

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.

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:

• Relevant professional qualifications.

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.

Application Closing Date
Not Specified.

How to Apply
Interested and qualified candidates should:
Click here to apply online