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