Information technology, software development, data jobs in Mukono, Uganda

12 jobs found

Old Mutual

Data Scientist - OML

Kampala

Uganda

KCB Group

Business Analyst - Digital Financial Products

Kampala

Uganda

The Federation of Uganda Football Associations (FUFA)

Competitions Data Officer

Kampala

Uganda

Kiira Motors Corporation

Senior Data Analyst

Jinja,

Kampala,

Nakasongola

Uganda

Hima Cement Uganda

End User Support Specialist

Kampala

Uganda

Closed for applications
The Uganda Institute of Banking and Financial Services(UIBFS)

Officer information technology/e-learning

Kampala

Uganda

Closed for applications
Young African Refugees For Integral Development (YARID)

Team Leader Enumerator

Kampala

Uganda

Closed for applications
Young African Refugees For Integral Development (YARID)

Research Enumerator

Kampala

Uganda

Closed for applications
MTN Group

Senior Manager - Technology Solutions

Kampala

Uganda

Closed for applications

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Pearl Bank Uganda

Fintech Applications Officer

Kampala

Uganda

Closed for applications

Country / Region

Profession

Seniority (Information technology, software development, data)

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Old Mutual

Banking + 2 more

Data Scientist - OML

Job details

Contract Type

Description

Education

  • Advanced degree in data science, statistics, computer science, or similar.
  • 5+ years of experience in developing statistical and machine learning models for predictive analysis and data visualization.
  • AI certifications


Responsibilities
  • Lead the design, development, and implementation of statistical and machine learning models for predictive analysis and data visualization
  • Develop and implement algorithms for advanced analytics, such as natural language processing, computer vision, and deep learning
  • Collaborate with cross-functional teams to identify business problems and translate them into data-driven solutions
  • Design and execute experiments to test hypotheses and validate findings
  • Mentor and guide junior data scientists in the team
  • Stay up to date with the latest tools, techniques, and technologies in the field of data science
  • Communicate insights and findings to technical and non-technical stakeholders through reports, dashboards, and presentations
  • Work with the engineering team to deploy models in production environment

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