Fresher Data Scientist Job Opportunities – Compuscan CRB

Job Title:  Data
Organization: Compuscan
Duty Station: Kampala,
About US:
Compuscan CRB is an international credit bureau organisation
providing credit risk services to the financial sector in Uganda under license
by Bank of Uganda
Job Summary:  The Data Scientist will be responsible for
elaboration and calibration of predictive models (admission scores),
statistical analysis of financial data, development of new data. The role
requires strong knowledge of Data Science, customer relationship management,
predictive and behavioral modelling and presentation capabilities with an
impeccable bias towards collaborative working.  Specifically, the Data Scientist shall be
responsible for elaboration and calibration of predictive models (admission
scores), statistical analysis of financial data, development of new data driven
products such as credit collection matrices, benchmarking reports, analysis
products, and designing reports to fulfill regulator’s requirements,
preparation of data extracts for reporting and audit purposes, improve data
quality and act as a consultant to financial institutions. The Data Scientist
shall report to the Head of Information Technology and Business Intelligence.

Skills and Experience: 
The ideal candidate must hold a Bachelor’s
degree in any of these fields; Mathematics, Statistics, Data Science, Finance,
Econometrics, Business Computing, and any related field from a recognised
university.  Possession of a Master’s
Degree in Data Science and or Statistics or Economics will be an added
At least two years of experience of working in a
busy data driven environment as a Data Analyst, Economist, Statistician,
Actuarial Scientist and or any related field.
Ability to work within a multinational
organization environment
The ideal candidate needs to be Familiar with
statistical software (SAS Base) and database management software (SQL)
Prior Knowledge of predictive modelling
techniques: experimental design, logistic regressions, bivariate analysis, etc.
Proficient in everyday use of MS office and use
of e-mail as a business tool. Very adept in Excel
A Good understanding of the Banking/ Credit
industry is essential
Good knowledge of business relationship
Good presentation of analyzed financial data
Professional and hardworking
Exceptional attention to detail
Ability to easily deal with people at all levels
of seniority in a telephonic environment 
Ability to work under minimal supervision
Prioritizing and Multi-Tasking Ability
High Insight and Intuition
The successful candidate shall be someone who
can understand customer relationship management on data analytics, predictive
modelling of data to produce credit risk minimizing solutions.
Candidates with working experience with big
data, Banking, and Digital solutions are encouraged to apply.
How to Apply:
Your application must only have the following items attached
to it:
Short concise curriculum vitae (No more than 4
Short concise education history (No more than 1
Maximum total pages should be 5 pages.
3 Professional referees one of which should be
your current or most recent employer
Applications must be addressed to the Human Resource Officer
and emailed to: and the subject line must be DS 01
Deadline: Friday,
19th April 2019.
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