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Data Scientist at Sand Tech Holdings Limited

Sand Technologies is seeking a Data Scientist to develop ML models.
Remote
United Kingdom
Undisclosed salary
Sand Technologies, an enterprise AI company, is seeking a Data Scientist to join their growing team. The Data Scientist will leverage advanced data analysis and machine learning skills to solve complex business problems and drive data-driven decision-making. Role involves:
  • Conducting independent research and development of data science and machine learning models.
  • Collaborating with cross-functional teams to apply data science and machine learning models to business problems.
  • Communicating results and impact to stakeholders.
  • Staying current with industry developments.
  • Mentoring junior data scientists.
Requirements:
  • Fluency in Python and experience with at least one cloud provider, preferably Azure.
  • Experience in a related field, including Data Science, Machine Learning & Computer Science.
  • 5+ years of experience in data science and machine learning.
  • Strong technical background with expertise in machine learning algorithms and data science techniques.
  • Experience in delivery across the lifecycle of machine learning products.
  • Excellent communication and collaboration skills.
  • Passion for data science and machine learning.
Role offers:
  • Opportunity to work at Sand Technologies.
  • Opportunity to work on cutting-edge technology.
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Sand Tech Holdings Limited

Sand Technologies is a rapidly expanding enterprise AI company delivering solutions to global blue-chip corporations and governments. Specializing in meaningful AI, the company addresses critical challenges in diverse sectors, including telecommunications, water management, energy, healthcare, climate change, and smart cities. With a team of over 300 engineers and scientists across Africa, Europe, the UK, and the US, Sand Technologies utilizes data and AI to create impactful solutions, such as managing water supply for major cities and optimizing telecommunications networks. The company has demonstrated substantial revenue growth and earned recognition for its technological advancements.