Job Title: Data
Scientist
Scientist
Organization: Compuscan
Duty Station: Kampala,
Uganda
Uganda
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
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.
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.
Qualifications,
Skills and Experience:
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
advantage
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
advantage
•
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.
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
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)
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.
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
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
A Good understanding of the Banking/ Credit
industry is essential
•
Good knowledge of business relationship
management
Good knowledge of business relationship
management
•
Good presentation of analyzed financial data
reports.
Good presentation of analyzed financial data
reports.
Behavioral
Competencies:
Competencies:
•
Professional and hardworking
Professional and hardworking
•
Exceptional attention to detail
Exceptional attention to detail
•
Ability to easily deal with people at all levels
of seniority in a telephonic environment
Ability to easily deal with people at all levels
of seniority in a telephonic environment
•
Ability to work under minimal supervision
Ability to work under minimal supervision
•
Prioritizing and Multi-Tasking Ability
Prioritizing and Multi-Tasking Ability
•
High Insight and Intuition
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.
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.
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:
to it:
•
Short concise curriculum vitae (No more than 4
pages)
Short concise curriculum vitae (No more than 4
pages)
•
Short concise education history (No more than 1
page)
Short concise education history (No more than 1
page)
•
Maximum total pages should be 5 pages.
Maximum total pages should be 5 pages.
•
3 Professional referees one of which should be
your current or most recent employer
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: [email protected] and the subject line must be DS 01
only.
and emailed to: [email protected] and the subject line must be DS 01
only.
Deadline: Friday,
19th April 2019.
19th April 2019.
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