Data Scientist Job Vacancy in Nkhata Bay, Malawi – Technology & Data Analytics

Chief Technology Officer (CTO)
Nkhata Bay
October 23, 2026
Full Time
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Job Description

Position: Data Scientist

Company: KPMG Malawi

Location: Nkhata Bay, Malawi

Experience: 3-5 years

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

Employment Type: Full-time

Industry: Technology & Data Analytics

Department: Analytics

Salary: SSP 1,200,000 – 2,000,000 per annum

Vacancies:1

Company Overview

KPMG Malawi is a leading professional services firm providing audit, tax and advisory solutions across Africa. With a strong commitment to innovation and sustainability, KPMG supports clients ranging from multinational corporations to local enterprises. The firm’s Nkhata Bay office serves as a strategic hub for regional data initiatives, fostering a culture of collaboration, continuous learning and ethical practice. As part of KPMG’s global network, employees gain exposure to cutting‑edge technologies and international best practices, making it an attractive destination for ambitious professionals seeking career growth in Malawi.

Job Overview

The Data Scientist will join KPMG Malawi’s Analytics team to drive data‑centric solutions for a diverse portfolio of clients. This role involves extracting insights from large datasets, building predictive models, and translating complex analytical findings into actionable business recommendations. The successful candidate will work closely with consultants, auditors and technology specialists to enhance decision‑making processes across sectors such as finance, healthcare, agriculture and public policy. For more information about KPMG’s commitment to talent development, visit https://malawijobsearch.com/. This position offers a unique platform to contribute to high‑impact projects while advancing your expertise in data science within a reputable international firm.

Key Responsibilities

  • Design, develop and deploy machine learning models to solve client‑specific business challenges.
  • Perform data extraction, cleaning, transformation and visualization using tools such as Python, R, SQL and Tableau.
  • Collaborate with cross‑functional teams to define analytical requirements and deliver insights that support strategic objectives.
  • Communicate complex analytical concepts to non‑technical stakeholders through clear reports and presentations.
  • Maintain data governance standards, ensuring data quality, security and compliance with relevant regulations.
  • Stay updated on emerging data science techniques and recommend innovative approaches to improve analytical capabilities.

Required Skills

  • Proficiency in programming languages such as Python or R, with experience in libraries like scikit‑learn, pandas and TensorFlow.
  • Strong knowledge of statistical modeling, hypothesis testing and predictive analytics.
  • Experience with data visualization tools (e.g., Tableau, Power BI) and storytelling with data.
  • Ability to work with relational databases and write efficient SQL queries.
  • Excellent problem‑solving skills and a data‑driven mindset.
  • Effective communication and presentation abilities, tailored for both technical and business audiences.

Education

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

Experience

Candidates should have 3‑5 years of professional experience in data science, analytics, or a similar role. Experience within consulting, professional services, or a multinational environment is advantageous, as is exposure to diverse industry sectors.

Salary

The compensation package ranges from SSP 1,200,000 to SSP 2,000,000 per annum, commensurate with experience, qualifications and demonstrated expertise. The package includes performance‑based bonuses and comprehensive benefits.

Benefits

  • Competitive salary with annual performance incentives.
  • Health insurance coverage for employee and dependents.
  • Retirement savings plan and pension contributions.
  • Generous paid leave, including annual, sick and parental leave.
  • Professional development allowance for certifications and conferences.

Training

  • Access to KPMG’s global learning platform offering courses in advanced analytics, AI, and emerging technologies.
  • Mentorship programs pairing new hires with senior data scientists and industry experts.
  • Opportunities to attend international workshops, webinars and client‑facing project trainings.

Working Environment

KPMG Malawi promotes an inclusive, collaborative and flexible work environment. Employees benefit from modern office spaces, remote‑working options, and a culture that values diversity, ethical conduct and work‑life balance. The Nkhata Bay office provides a scenic setting that encourages creativity and well‑being.

Application Process

Interested candidates should submit an online application through the KPMG careers portal, attaching a tailored resume and a cover letter highlighting relevant experience and motivation for the role. Shortlisted applicants will undergo a technical assessment followed by virtual interviews with the Analytics team and senior leadership.

Equal Opportunity Statement

KPMG Malawi is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees, regardless of gender, race, religion, age, disability or sexual orientation. Our hiring practices reflect our dedication to fairness and merit‑based selection.

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