Data Scientist – OML Jobs – UAP Old Mutual Uganda

Job Title: Data Scientist – OML

Organisation: UAP Old Mutual Uganda

Duty Station: Kampala, Uganda

About Organisation:

UAP Old Mutual Uganda is owned by UAP Old Mutual Group, a subsidiary of Old Mutual Limited (OML). The Group employs 27 000 people, operates in 14 countries and is listed on five stock exchanges.

Job Summary: The Data Scientist will be responsible for leading the development and implementation of data-driven solutions to business problems. You will work with large and complex data sets, use advanced statistical methods and machine learning algorithms to extract insights and build predictive models. You will also mentor and guide the junior data scientists in the team.

Key Duties and 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 environments
• ANTI-MONEY LAUNDERING (AML) EXPECTATION
• The incumbent will be responsible for ensuring adherence to, implementation of, and adoption of Compliance, Anti-Money Laundering (AML), and Sanctions-related policies, procedures, and process requirements within Old Mutual and its subsidiaries. This includes execution of customer due diligence processes, ensuring compliance with Know-Your-Customer (KYC) standards, conducting ongoing and enhanced due diligence, and maintaining data quality. Additionally, the role involves identifying and monitoring potential AML, Sanctions, or Compliance breaches and unusual activities, and escalating these concerns to the Risk and Compliance Office for further action.

Qualifications, Skills and Experience:

• 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
• Skills
• Data Science, IT Network Security, Machine Learning (ML), Machine Learning Algorithms
• Competencies
• Business Insight
• Collaborates
• Cultivates Innovation
• Drives Results
• Ensures Accountability
• Manages Ambiguity
• Manages Complexity
• Optimizes Work Processes
• Key Competencies and Skills
• Proficiency in at least one programming language (Python, R, SQL, etc.)
• Experience with big data technologies such as Hadoop, Spark, or Hive
• Experience with cloud-based platforms such as AWS, Google Cloud, or Microsoft Azure
• Knowledge of software engineering principles and version control systems such as Git
• Excellent analytical, problem-solving, and critical thinking skills
• Strong communication and interpersonal skills
• Ability to lead and mentor a team of junior data scientists.
• Passion for data science and eagerness to learn new skills.

How to Apply:

All suitably qualified and Interested applicants should apply online at the link below.

Opens the employer’s application pageApply Now →

Deadline: 30th April 2026

NB: Only shortlisted candidates will be contacted.

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Level of Education: postgraduate degree

Work Hours: 8

Experience in Months: 60