Data Science Manager Job Vacancy in Gweru, Zimbabwe – Technology

Job Description

Position: Data Science Manager

Company: IBM Zimbabwe

Location: Gweru, Zimbabwe

Experience: 5-7 years

Education: Bachelor’s degree in Computer Science, Data Science, Statistics or related field

Employment Type: Full-time

Industry: Technology

Department: Data Analytics

Salary: SSP 600,000 – 900,000 per annum

Vacancies:1

Company Overview

IBM Zimbabwe is a leading global technology and consulting firm with a strong presence across Africa. As part of IBM’s extensive network, the Gweru office delivers cutting‑edge solutions in cloud computing, artificial intelligence, and data analytics to a diverse portfolio of clients ranging from financial institutions to manufacturing giants. Our commitment to innovation, sustainability, and inclusive growth makes us a top employer for professionals seeking to shape the future of technology in Zimbabwe. Join a dynamic team that values continuous learning, collaborative problem‑solving, and the delivery of high‑impact results. This role contributes directly to IBM’s mission of building a smarter, more connected world while supporting local economic development and creating career opportunities for Zimbabwean talent.

Job Overview

The Data Science Manager will lead a multidisciplinary team of data scientists, analysts, and engineers to design, develop, and operationalize advanced analytics solutions that drive business insights for IBM’s clients in Zimbabwe and the broader region. You will be responsible for translating complex data sets into actionable strategies, overseeing model development, and ensuring the delivery of high‑quality analytical products. This position offers a unique opportunity to work on transformative projects that leverage AI, machine learning, and big data technologies, positioning IBM as a trusted advisor in the digital transformation journey of our customers. For more information about IBM Zimbabwe, visit our career portal.

Key Responsibilities

• Lead the end‑to‑end lifecycle of data science projects, from problem definition and data acquisition to model deployment and performance monitoring.
• Collaborate with client stakeholders to understand business objectives and translate them into analytical solutions that deliver measurable value.
• Mentor and develop junior data scientists, fostering a culture of knowledge sharing, best practices, and continuous improvement.
• Design and implement scalable machine learning pipelines using Python, R, Spark, and cloud services.
• Ensure data governance, security, and compliance with local regulations throughout all analytical processes.
• Present findings and recommendations to senior leadership and client executives in clear, compelling formats.
• Stay abreast of emerging technologies and industry trends to drive innovation within the Data Analytics department.

Required Skills

• Proficiency in statistical modeling, machine learning algorithms, and data mining techniques.
• Strong programming skills in Python or R, with experience in SQL and NoSQL databases.
• Hands‑on experience with cloud platforms such as IBM Cloud, AWS, or Azure.
• Excellent problem‑solving abilities and a data‑driven mindset.
• Effective communication skills, both written and verbal, to convey complex concepts to non‑technical audiences.
• Leadership experience managing cross‑functional teams in a fast‑paced environment.

Education

A minimum of a Bachelor’s degree in Computer Science, Data Science, Statistics, Mathematics, or a related quantitative discipline is required. Advanced degrees (MSc or PhD) are highly desirable and will be considered an asset.

Experience

Applicants should have 5‑7 years of professional experience in data science or advanced analytics, with at least 2 years in a supervisory or managerial role. Experience delivering analytics solutions in sectors such as finance, manufacturing, or telecommunications within Zimbabwe or the broader African market is advantageous.

Salary

The compensation package ranges from SSP 600,000 to SSP 900,000 per annum, commensurate with experience and qualifications. The package includes performance‑based bonuses, health benefits, and a retirement savings plan.

Benefits

• Comprehensive medical and dental coverage.
• Generous paid time off and holidays.
• Retirement savings scheme with employer matching.
• Employee assistance program and wellness initiatives.
• Flexible working arrangements, including remote work options.

Training

• Access to IBM’s global learning platform with thousands of courses on AI, cloud, and leadership.
• Certification sponsorship for industry‑recognized credentials such as IBM Data Science Professional Certificate, AWS Certified Machine Learning, and Google Cloud Professional Data Engineer.
• Mentorship programs pairing you with senior technologists across IBM’s worldwide network.

Working Environment

IBM Zimbabwe offers a collaborative, inclusive, and innovative workplace where diversity of thought is celebrated. Our Gweru office features modern workspaces, state‑of‑the‑art labs, and a supportive community that encourages creativity and professional growth. Employees benefit from a culture that prioritizes work‑life balance, ethical conduct, and social responsibility.

Application Process

Interested candidates should submit their online application through the IBM Careers portal, attaching a current resume and a cover letter outlining their relevant experience and motivation for the role. Shortlisted applicants will undergo a technical assessment followed by virtual interviews with the hiring panel. The recruitment process is designed to be transparent, efficient, and respectful of candidates’ time.

Equal Opportunity Statement

IBM Zimbabwe is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, gender identity, national origin, disability, or veteran status.