Data Scientist Job Vacancy in Mhlume, Eswatini – Technology

Job Description

Position: Data Scientist

Company: IBM

Location: Mhlume, Eswatini

Experience: 3-5 years

Education: Bachelor’s degree in Computer Science, Statistics, Mathematics, or related field; Master’s preferred

Employment Type: Full-time

Industry: Technology

Department: Data Analytics

Salary: SSP 30,000 – 45,000 per month

Vacancies:1

Company Overview

IBM is a global leader in technology and consulting services, with a strong commitment to innovation across Africa. In Eswatini, IBM collaborates with local partners to deliver cutting‑edge solutions that empower businesses, government agencies, and educational institutions. The company’s presence in the region reflects its dedication to fostering digital transformation, building sustainable talent pipelines, and supporting community development initiatives. IBM’s culture emphasizes diversity, continuous learning, and ethical responsibility, making it an attractive employer for professionals seeking impactful careers.

As part of IBM’s strategic expansion, the Mhlume office serves as a hub for data‑driven projects that address regional challenges in agriculture, finance, and public services. Employees benefit from access to world‑class resources, mentorship programs, and a collaborative environment that encourages creativity and problem‑solving. IBM’s commitment to hiring locally and investing in skill development aligns with national goals for economic growth and technological advancement, positioning the company as a key driver of Employment in Eswatini.

Job Overview

The Data Scientist will join IBM’s Data Analytics team to design, develop, and deploy advanced analytical models that support client initiatives across multiple sectors. Working closely with data engineers, business analysts, and domain experts, the successful candidate will translate complex data sets into actionable insights, enabling data‑informed decision making. This role offers a unique opportunity to work on high‑impact projects that contribute to the digital ecosystem of Eswatini, while also engaging with international teams and leveraging IBM’s extensive cloud and AI platforms. For more information about IBM’s career portal, visit https://eswatinijobsearch.com.

Key Responsibilities

• Develop predictive models using machine learning algorithms to solve business problems in sectors such as agriculture, finance, and public health.
• Perform data extraction, cleaning, and transformation from diverse sources, ensuring data quality and integrity.
• Collaborate with cross‑functional teams to define analytical requirements and deliver visualizations that communicate findings effectively.
• Implement and optimize AI solutions on IBM Cloud, integrating them with client systems and workflows.
• Document methodologies, code, and results to maintain reproducibility and support knowledge sharing within the team.
• Stay current with emerging data science techniques and contribute to internal research initiatives.

Required Skills

• Proficiency in Python or R, with experience in libraries such as pandas, scikit‑learn, TensorFlow, or PyTorch.
• Strong understanding of statistical modeling, hypothesis testing, and experimental design.
• Experience with SQL and NoSQL databases, as well as data warehousing concepts.
• Ability to create compelling data visualizations using tools like Tableau, Power BI, or IBM Cognos.
• Excellent communication skills to convey technical concepts to non‑technical stakeholders.
• Problem‑solving mindset and ability to work independently in a fast‑paced environment.

Education

A Bachelor’s degree in Computer Science, Statistics, Mathematics, Engineering, or a related quantitative discipline is required. Candidates with a Master’s or Ph.D. in Data Science, Machine Learning, or a comparable field are highly preferred, reflecting IBM’s emphasis on advanced analytical expertise.

Experience

Applicants should have 3‑5 years of professional experience applying data science techniques to real‑world problems. Experience in the African market, particularly in sectors such as agriculture, finance, or public services, is considered an advantage and aligns with IBM’s focus on regional development.

Salary

The position offers a competitive salary range of SSP 30,000 to 45,000 per month, commensurate with experience and qualifications. Additional performance‑based incentives may be provided based on project outcomes and contribution to business goals.

Benefits

• Comprehensive health and wellness coverage.
• Retirement savings plan with employer matching.
• Generous paid time off and holidays.
• Professional development budget for certifications and conferences.
• Access to IBM’s global learning platforms and mentorship programs.

Training

• Onboarding program covering IBM’s AI and cloud services.
• Continuous skill‑upgrading workshops in advanced analytics, big data, and emerging technologies.
• Opportunities to attend internal hackathons and innovation challenges.

Working Environment

IBM’s Mhlume office provides a modern, collaborative workspace equipped with state‑of‑the‑art technology. Employees enjoy flexible working arrangements, including remote work options, to promote work‑life balance. The culture encourages knowledge sharing, diversity of thought, and a supportive atmosphere where every voice is valued.

Application Process

Interested candidates should submit their application through IBM’s online portal, attaching a detailed resume and a cover letter outlining relevant experience. Applications will be reviewed by the recruitment team, and shortlisted candidates will be invited to complete a technical assessment followed by virtual interviews. For additional career resources, explore https://mozambiquejobsearch.com/job-vacancy-mozambique/.

Equal Opportunity Statement

IBM is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees, regardless of race, gender, age, disability, sexual orientation, or any other protected characteristic. Our hiring practices reflect our dedication to fairness and respect.

For further insights into regional opportunities, visit https://tanzaniajobsearch.com/job-vacancy-tanzania/.