Senior Data Scientist

Sand Technologies is a fast-growing enterprise AIcompany that solves real-world problems for large blue-chipcompanies and governments worldwide. We’re pioneers of meaningfulAI: our solutions go far beyond chatbots. We are using data and AIto 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 theentire city of London. We created the AI algorithms that enabledthe 7th largest telecommunications company in the world to plan itsnetwork in 300 cities in record time. And we built a digitalhealthcare system that enables 30m people in a country to getworld-class healthcare despite a shortage of doctors. We’ve grownour revenues by over 500% in the last 12 months while winningprestigious scientific and industry awards for our cutting-edgetechnology. We’re underpinned by over 300 engineers and scientistsworking across Africa, Europe, the UK and the US. ABOUT THE ROLE Weare seeking an experienced Senior Data Scientist to join ourgrowing data science team. As a key contributor, the Senior DataScientist will be responsible for leveraging their advanced dataanalysis and machine learning skills to solve complex businessproblems and drive data-driven decision-making within ourorganisation and those of our clients. The ideal candidate willhave a strong background in statistics, machine learning and dataanalysis, along with a proven track record of delivering impactfulinsights and solutions - with demonstrated experience getting datascience solutions into production. Key responsibilities are: *Conduct independent (and collaborative) research and development ofdata science and machine learning models; develop cutting-edge datascience and machine learning models that drive business value,leveraging internal and external data sources. * Skilled in, andcontinue to improve upon your knowledge of decision science,communicating data, domain modelling, predictive modelling,advanced analytics, MLOps, Research and AI Ethics with thewillingness to upskill others in these competencies. * Collaboratewith cross-functional teams: work closely with cross-functionalteams to apply data science and machine learning models to businessproblems, ensuring that models are integrated into products andservices. * Communicate results and impact: communicate results andimpact to stakeholders, including technical and non-technicalaudiences. * Stay current with industry developments: keep up todate 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 onecloud provider; preferably Azure. * Qualified experience in arelated field, including, but not limited to, Data Science, MachineLearning & Computer Science. * 5+ years of experience in datascience and machine learning, with a strong track record ofindependent research and development a plus. * Strong technicalbackground, with expertise in a range of machine learningalgorithms and data science techniques. * Strong experience indelivery across the lifecycle of machine learning products,adhering to robust software engineering practices. * Excellentcommunication, with the ability to communicate complex data scienceconcepts to technical and non-technical audiences. * Strongcollaboration skills, with the ability to work effectively withcross-functional teams. * Passion for data science and machinelearning, with a desire to continuously learn and innovate. NICE TOHAVE * Experience with GISc (raster & vector-based workflows),graph theory, time series modelling and XAI. * Experience sharingresearch in academic or industry forums, and drive to expand Sandsindustry footprint. * Experience in retail, utilities (e.g. wateror telco) or financial services industries. Would you like to joinus as we work hard, have fun and make history? Apply for this jobJ-18808-Ljbffr