Job Title: Retail Data Scientist
Hiring Organization: NCBA
Group
Location – Locality: Nairobi
Location – Region: Kenya
Industry: Banking
Job Type: Full
Time
Salary: KES
Date Posted: 04/23/2024
Job Purpose Statement
- The
job holder will be the data science lead for retail working with other
stakeholders in the bank to develop statistical and econometric models
that utilize the vast amount of data resources the bank holds to;
Drive
informed data driven decision making.
- Generate
value through predictions of customer behaviour that will drive high
quality and well-informed customer engagements, sales campaigns, product
& CVP development etc.
Academic:
- Bachelor’s
degree in Statistics, Mathematics, Computer Science, Machine Learning,
Economics, or any other related quantitative field.
- Working
experience of the equivalent is also acceptable for this position.
Professional:
- Big
Data or Data Science certification from recognized institutions
Desired
work experience:
- At
least 6 years working experience working with business
analysis/informatics and business outcomes research within a fast-paced
and complex business setting.
Job
Competencies
Technical
Competencies
- Demonstrate
a passion for research, statistics, and data analysis as well as a
demonstrated ability and passion for designing and implementing successful
data analysis solutions within a business.
- Strong
understanding of data-mining techniques and an ability to apply these
techniques in practical real-world business issues.
- Demonstrate
an ability to consider data, identify patterns, issues, or data analysis
needs for the business
- Skills
in the workings of SQL and scripting languages such as Python and Perl as
well as familiarity with statistical analysis, data visualization, and
data cleansing tools and techniques.
- Demonstrate
strong skill in statistical techniques inclusive of cluster-analysis test
design, regressions, and forecasting methodologies as well as substantial
familiarity in big data and standardizing and A/B testing.
Behavioral
Competencies
- Self-motivated
and result oriented
- Excellent
planning and organization skills.
- Effective
communicator with good interpersonal skills
- Ability
to work under pressure and meet strict deadlines with minimal supervision.
- Analytical
and decisive
- Good
Interpersonal skills
- Pragmatism
and problem-solving skills