Advisory Data Scientist

Recruit Digital; Johannesburg; On-site; ZAR 600,000 - 900,000; Full time

Job summary

A global data and analytics company is looking for a Senior Data Scientist in Johannesburg. This role offers the chance to solve complex business challenges across industries such as financial services, telecom, and insurance, while leading analytics initiatives and mentoring junior analysts in a supportive environment.

Benefits

Supportive culture emphasizing continuous learning

Exposure to international markets

Access to best-in-class analytical tools

Qualifications

• 6-8 years in advanced analytics or data science roles.
• Experience building credit risk models and analytical solutions.
• Ability to communicate complex concepts effectively.

Responsibilities

• Design and deliver advanced analytics solutions.
• Lead project delivery and mentor junior data scientists.
• Translate analytical findings into business recommendations.

Skills

Statistical tools

Data manipulation

Communication

Project management

Education

Bachelor’s degree in a quantitative field

Tools

R

SQL

Azure

AWS

Job description

Employment Type : Full-time

The Opportunity

A global data and analytics company is seeking a Senior Data Scientist to join its growing team in Africa. In this role, you’ll be part of a high-caliber group of professionals solving complex business challenges through advanced data science techniques. You will work on projects across financial services, telecom, and insurance, with a focus on credit risk, fraud, and customer behavior.

This is a unique chance to apply your analytical expertise and make a tangible impact on business outcomes, while engaging with teams and clients both locally and across international markets.

Your Impact

• Design and deliver advanced analytics solutions for high-profile client engagements in areas like credit scoring , risk modeling , and customer decisioning .
• Collaborate with internal teams and external partners to co-create data-driven products that drive business outcomes.
• Take the lead on project delivery, contribute subject matter expertise, and guide junior data scientists in technical execution.
• Translate complex analytical findings into actionable business recommendations, and present them to senior stakeholders and clients.
• Help shape a culture of excellence through mentorship and technical leadership within the team.

What You Bring

Education :

• A Bachelor’s degree in a quantitative field such as Statistics, Applied Mathematics, Engineering, Computer Science or related (Honors or postgraduate qualifications preferred).

Experience & Skills :

• 6-8 years in advanced analytics or data science roles, ideally with client-facing responsibilities.
• Proven experience building and delivering credit risk models and related analytical solutions (e.g., application or behavioral scorecards).
• Expertise in statistical tools such as R , SQL , and a strong command of data manipulation and modeling techniques.
• Solid understanding of the credit lifecycle, and ideally, experience working with credit bureau data .
• Strong communication skills – able to convey complex concepts to both technical and non-technical audiences.
• Comfortable leading multiple concurrent projects in a fast-paced environment.
• Experience mentoring or managing junior analysts / data scientists.
• Exposure to cloud-based analytics environments (e.g., Azure, AWS) is a plus.

Why Join Us?

• Be part of an innovative analytics team embedded within a global business.
• Work with best-in-class analytical tools and a modern hybrid-cloud data infrastructure.
• Gain international exposure while contributing to high-impact solutions across several industries.
• Enjoy a supportive culture that emphasizes continuous learning , career development, and technical mastery.

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