---
title: 'Data Scientist at Sand Tech Holdings Limited'
canonical: 'https://feeny.ai/job/data-scientist-sand-tech-holdings-limited-rwanda-mbzba9dssgnt'
type: 'job'
last_seen: '2026-09-07'
---

# Data Scientist at Sand Tech Holdings Limited

- **Company:** Sand Tech Holdings Limited
- **Location:** Rwanda
- **Work type:** remote
- **Posted:** 2026-07-22
- **Last confirmed live:** 2026-09-07
- **Apply:** https://job-boards.eu.greenhouse.io/sandtechholdingslimited/jobs/4934619101

## Job description

## About Sand

[Sand Technologies](https://www.sandtech.com/) is a global Physical AI company using data and AI to make critical industries work better. We partner with governments, cities and enterprises to improve how essential systems operate across healthcare, water, energy, telecommunications and infrastructure.

Our work delivers proven real-world impact. We have built AI systems that help manage London’s water supply, supported telecom network planning across hundreds of cities, and developed digital healthcare platforms serving tens of millions of people across Africa. From intelligent command centers to AI-powered infrastructure platforms, we help organizations sense, analyze and act in complex environments.

Our people are ambitious, curious and relentlessly practical. Our teams work alongside clients in the field, solving hard problems and deploying solutions that last. With colleagues across Africa, Europe, the UK and the US, we operate across the full stack - from research and engineering to deployment and capability building.

Our mission is simple: to harness AI to solve humanity’s most pressing challenges.

## About the role

We are seeking an experienced Data Scientist to join our growing Healthcare domain team. As a key contributor, the Senior Data Scientist will be responsible for leveraging their advanced data analysis and machine learning skills to solve complex healthcare challenges, ultimately driving data-driven decision-making to positively impact patient outcomes and clinical workflows.

The ideal candidate will have a strong background in statistics, machine learning, and data analysis, combined with deep domain knowledge in healthcare. You will have a proven track record of delivering impactful insights and solutions, with demonstrated experience getting robust, compliant data science solutions into production.

## What you’ll do

- Model Research & Development: Conduct independent and collaborative research and development of data science and machine learning models; develop cutting-edge models that drive clinical and business value, leveraging health records, clinical trials, and other healthcare data sources.
- Continuous Capability Growth: Maintain and improve your knowledge of decision science, communicating data, domain modeling, predictive modeling, advanced analytics, MLOps, Research, and Healthcare/AI Ethics, with the willingness to upskill others in these competencies.
- Collaborate Cross-Functionally: Work closely with cross-functional teams (including clinical experts, product managers, and software engineers) to apply data science models to complex healthcare problems, ensuring that models are integrated into production products and services.
- Communicate Results & Impact: Communicate technical results and clinical impacts to stakeholders, including medical professionals, administrative leaders, and technical audiences.
- Stay Current with Industry Developments: Keep up to date with developments across data science, machine learning, and public health/clinical health studies, identifying opportunities for applied research and development.
- Mentor Junior Talent: Mentor junior data scientists within the domain, fostering a culture of continuous improvement, scientific rigor, and innovation.

## Who you are

- 5+ years of experience in data science and machine learning, with a strong track record of independent research and development.
- Demonstrated expertise in the Healthcare industry is important (e.g., clinical data, healthcare operations, patient outcomes, HIPAA compliance, or bioinformatics).
- Fluency in Python with experience with at least one cloud provider; preferably Azure.
- Qualified experience in a related field, including, but not limited to, Data Science, Machine Learning, Computer Science, or Statistics. M.Sc preferred.
- Strong experience in delivery across the lifecycle of machine learning products, adhering to robust software engineering practices and data governance/privacy standards.
- Excellent communication and collaboration skills, with the ability to build trust and work effectively alongside clinical and technical cross-functional teams.
- Based in Rwanda and are able to be on-site.

## How we work

Due to the highly collaborative and internationally distributed nature of our work, successful candidates must be comfortable operating in small teams while contributing to larger, globally coordinated efforts. A strong sense of ownership, self-motivation and discipline in maintaining clear and consistent communication through virtual collaboration tools and video conferencing is essential.

## About Sand Tech Holdings Limited

## Company Overview
- **One-liner**: Sand Tech Holdings Limited builds an AI operating system (SandOS) for managing and optimizing critical infrastructure across water, energy, telecom, healthcare, and government.
- **Entity Type**: Private (funding stage not publicly disclosed)
- **Headquarters**: Kigali, Rwanda
- **Founded**: Not publicly available (LinkedIn shows active status, but no founding year)
- **Founders**: Not publicly available

## Core Business
- **Primary industries**: Critical infrastructure management, Physical AI, Industrial software
- **Target customers**: B2B / Enterprise (government utilities, telecom operators, energy companies, healthcare systems)
- **Mission statement**: Build the intelligence layer for the infrastructure billions depend on – water, energy, health, connectivity, cities – making them safer, more reliable, and more accessible.

## Products & Services
- **SandOS**: A unified real-time control layer (SaaS/platform) that combines data, scientific models, and operational intelligence to sense, analyze, and act across complex physical systems. Deployed across water networks, energy grids, telecom networks, healthcare systems, and government operations.

## Market Standing
- **Valuation/Market Cap**: Not disclosed
- **Key Metric**: Total funding not publicly available; reported to be operating in 18+ countries with zero mission-critical failures.
- **Notable Investors/Partners**: Trusted by organizations including Southern Company, Thames Water, Telkomsel, MTN, Severn Trent, True (listed on sandtech.com). No investor names publicly disclosed.
- **Growth Signals**: 384 employees (LinkedIn, 2026), presence in 38 countries, rapid deployment at scale in weeks. However, LinkedIn shows -14.7% yearly headcount growth (-79 people), suggesting recent restructuring or contraction.

## Competitive Advantages
- **Physical AI category**: Defines a new category combining data, scientific models, and operational intelligence for critical infrastructure – distinct from generic analytics or IoT platforms.
- **Proven reliability**: Zero mission-critical failures across 18+ countries; case studies cite ~£7M outage saved and 31,000 km of telecom network under unified visibility.
- **Deep domain expertise**: Teams span engineering, research, field operations, and domain experts who work directly with clients in water, energy, telecom, and healthcare.

## Strategic Focus
- **Current priorities**: Expanding SandOS across more geographies and sectors (healthcare, disaster recovery, utilities); building a distributed, field-deployed workforce; investing in AI research (reinforcement learning, network optimization, consequence modeling).
- **Direction**: Continue to scale as the “control layer for society’s most important infrastructure” while maintaining rapid deployment and mission-critical reliability.

## Why Work Here
- **Culture**: Described as “distributed by default” – remote-first with hybrid options where needed. Emphasizes “adventurers” – people willing to go where the problem is, operate in unfamiliar systems and cultures, and find meaning in challenging work.
- **Remote/Hybrid policy**: Most positions remote and globally distributed; some roles require on-site presence depending on project needs. Visa sponsorship handled case-by-case.
- **Notable perks**: Competitive compensation reviewed regularly; health cover designed for distributed/field-based teams; flexible time off; setup & wellbeing stipend; time, budget, and mentorship for continuous learning.
- **Engineering culture**: Strong computer science foundation expected; hiring process includes a role-specific assignment (the most important step); values “no false trade-offs” between technical depth and visible impact.
- **Team diversity**: 384 employees across 38 countries; talent sourced from programs like ExploreAI, ALX Africa, Andela; departments include engineering, research, field operations, product, GTM.

## Sources
1. [sandtech.com](https://www.sandtech.com/) – Company overview, product description, case studies, client logos
2. [LinkedIn – Sand Technologies](https://www.linkedin.com/company/sandtechinc) – Employee count, headcount growth, locations, talent sources
3. [Greenhouse – Sand Tech Holdings Limited](http://job-boards.greenhouse.io/sandtechholdingslimited) – Current job openings (31 roles)
4. [careers.sandtech.com](https://careers.sandtech.com/faqs/) – FAQs on remote work, hiring process, benefits, visa sponsorship

## Other roles at Sand Tech Holdings Limited

- [Technical Lead](https://feeny.ai/job/technical-lead-sand-tech-holdings-limited-africa-united-kingdom-pjb4rkasx8cp) — Africa / United Kingdom
- [Vice President, Africa](https://feeny.ai/job/vice-president-africa-sand-tech-holdings-limited-africa-y32arakf3g51) — Africa
- [Platform Engineer](https://feeny.ai/job/platform-engineer-sand-tech-holdings-limited-rwanda-6vcret9be1yq) — Rwanda
- [Software Engineer](https://feeny.ai/job/software-engineer-sand-tech-holdings-limited-united-states-1ppbzzpj6ds8) — United States
- [Principal Data Scientist](https://feeny.ai/job/principal-data-scientist-sand-tech-holdings-limited-south-africa-75ge9szvfd5g) — South Africa
- [Senior Data Scientist](https://feeny.ai/job/senior-data-scientist-sand-tech-holdings-limited-south-africa-s0xfr5681w8w) — South Africa
- [Principal Data Scientist](https://feeny.ai/job/principal-data-scientist-sand-tech-holdings-limited-south-africa-p7r20pvn94kk) — South Africa
- [Senior Data Scientist](https://feeny.ai/job/senior-data-scientist-sand-tech-holdings-limited-south-africa-qtsxyh73ppvx) — South Africa
- [Senior Data Governance & Responsible AI Lead](https://feeny.ai/job/senior-data-governance-responsible-ai-lead-sand-tech-holdings-limited-united-f7yp68sbsveg) — United States
- [Principal Software Engineer](https://feeny.ai/job/principal-software-engineer-sand-tech-holdings-limited-romania-south-africa-zvy1b5jzb2wc) — Romania / South Africa