Data Scientist at Access Bank

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.

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

• Relevant professional qualifications.