About Sand

Sand Technologies is a fast-growing enterprise AI company that solves real-world problems for large blue-chip companies and governments worldwide.

We’re pioneers of meaningful AI: our solutions go far beyond chatbots. We are using data and AI to solve the world’s biggest issues in telecommunications, sustainable water management, energy, healthcare, climate change, smart cities, and other areas that have a real impact on the world. For example, our AI systems help to manage the water supply for the entire city of London. We created the AI algorithms that enabled the 7th largest telecommunications company in the world to plan its network in 300 cities in record time. And we built a digital healthcare system that enables 30m people in a country to get world-class healthcare despite a shortage of doctors.

We’ve grown our revenues by over 500% in the last 12 months while winning prestigious scientific and industry awards for our cutting-edge technology. We’re underpinned by over 300 engineers and scientists working across Africa, Europe, the UK and the US.

 

ABOUT THE ROLE

We are seeking an experienced Senior Data Scientist to join our growing data science 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 business problems and drive data-driven decision-making within our organisation and those of our clients. The ideal candidate will have a strong background in statistics, machine learning and data analysis, along with a proven track record of delivering impactful insights and solutions – with demonstrated experience getting data science solutions into production. Key responsibilities are:

• Conduct independent (and collaborative) research and development of data science and machine learning models; develop cutting-edge data science and machine learning models that drive business value, leveraging internal and external data sources.
• You are skilled in, and continue to improve upon you knowledge of decision science, communicating data, domain modelling, predictive modelling, advanced analytics, MLOps, Research and AI Ethics with the willingness to up skill others in these competencies.
• Collaborate with cross-functional teams: work closely with cross-functional teams to apply data science and machine learning models to business problems, ensuring thatmodels are integrated into products and services.
• Communicate results and impact: communicate results and impact to stakeholders, including technical and non-technical audiences.
• Stay current with industry developments: keeps up to date with developments across data science and machine learning, identifying opportunities for applied research and development.
• Mentor junior data scientists: mentor junior data scientists, fostering a culture of continuous improvement and innovation.

REQUIREMENTS

• 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.
• 5+ years of experience in data science and machine learning, with a strong track record of independent research and development a plus.
• Strong technical background, with expertise in a range of machine learning algorithms and data science techniques.
• Strong experience in delivery across the lifecycle of machine learning products, adhering to robust software engineering practices.
• Excellent communication, with the ability to communicate complex data science concepts to technical and non-technical audiences.
• Strong collaboration skills, with the ability to work effectively with cross-functional teams.
• Passion for data science and machine learning, with a desire to continuously learn and innovate.

NICE TO HAVE

• Experience with GISc (raster & vector-based workflows), graph theory, time series modelling and XAI.
• Experience sharing research in academic or industry forums, and drive to expand Sand’s industry footprint.
• Experience in retail, utilities (e.g. water or telco) or financial services industries.

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Would you like to join us as we work hard, have fun and make history?