Senior Data Science & Analytics Consultant

TransUnion; Johannesburg; Hybrid; ZAR 600 000 - 800 000; Full time

Job summary

A global analytics firm seeks a Sr Consultant in Data Science and Analytics to develop credit risk and fraud solutions. The ideal candidate will have a Master's in a quantitative field, with 5-7 years of experience in analytics projects, demonstrating success in client-facing roles. Responsibilities include collaboration with cross-functional teams, delivering insights to customers, and leading analytical projects. This hybrid position allows flexibility with mixed remote and in-office work.

Qualifications

• 5-7 years of professional experience with analytics and client solutioning projects.
• Success in internal and external client-facing analytical roles for at least three years.
• Extensive experience in developing, interpreting, and presenting credit risk models.

Responsibilities

• Collaborate with cross-functional teams to design and develop analytical products.
• Lead and contribute expertise in projects involving descriptive, predictive, and prescriptive analysis.
• Deliver insights and recommendations in compelling presentations.

Skills

Strong written and verbal communication skills

Analytical, critical thinking, and creative problem-solving skills

Mastery of statistical programming languages (R, SQL)

Project management skills

Ability to articulate ideas to various audiences

Education

Honors or Master’s degree in Statistics, Applied Mathematics, Computer Science, Engineering

Tools

Microsoft Office tools

Job description

A global analytics firm seeks a Sr Consultant in Data Science and Analytics to develop credit risk and fraud solutions. The ideal candidate will have a Master's in a quantitative field, with 5-7 years of experience in analytics projects, demonstrating success in client-facing roles. Responsibilities include collaboration with cross-functional teams, delivering insights to customers, and leading analytical projects. This hybrid position allows flexibility with mixed remote and in-office work.