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As IT Recruiters, we connect top talent with global opportunities in the digital technology sector, offering contract, temporary, and permanent placements across various industries, roles, salaries, and locations. Our specialized teams ensure your recruitment or job search benefits from seasoned experts who deeply understand your sector. Fortray is also a global online boot camp, helping career changers gain vital digital skills in just four weeks, opening doors to lucrative tech careers.\nOur rigorous curriculum covers cybersecurity, Cloud computing, Data analytics, Coding, Project Management, DevOps, AI/ML, and more. Practical, hands-on learning and mentorship from industry experts result in a remarkable 95% placement rate. With over 1,000 monthly live classes, real-world projects, and extensive resources, Fortray stands out. Our mentorship program, flexible schedules, and 1:1 career coaching guide your success. Join 1,000+ satisfied graduates on their journey to tech careers through Fortray.\nAdditionally, as a Managed Service Provider (MSP), we offer global managed IT services, including cybersecurity, cloud solutions, and IT consultancy, tailored to businesses of all sizes, emphasizing user centricity from consultation to ongoing support, ensuring seamless technology operations.\nPurpose of the Job - Overview\nJob Title: Data Scientist / Student Mentor\n\nLocation: Fully Remote\nMust have a 2 to 3 Hours Backup, 22 to 24” Monitor with HDMI Cable, Table, Chair and Quite place to\nwork.\nTimings:\nMonday to Friday: 9 AM to 6 PM BST\nSaturday: 10 AM to 3 PM BST\nAbout the Role\nKey Responsibilities:\nMentor and guide students on their data science, machine learning, and analytics projects.\nProvide expert advice on project planning, data collection, cleaning, analysis, and model development.\nReview and provide feedback on code, reports, presentations, and visualizations.\nAssist students in choosing appropriate methodologies, tools, and frameworks based on project goals.\nConduct regular one-on-one or group sessions to resolve doubts and provide direction.\nStay up-to-date with academic and industry trends in data science and integrate relevant practices into mentorship.\nMaintain documentation of project support activities and student progress\nAnalyze large and complex datasets to extract actionable insights.\nBuild, evaluate, and deploy machine learning models for classification, regression, clustering, and recommendation systems.\nDevelop and maintain data pipelines and automated reporting systems.\nCollaborate with stakeholders to define problems, design experiments, and interpret results.\nCommunicate findings and recommendations through data visualizations, dashboards, and presentations.\nRequirements:\nBachelor’s or Master’s degree in Data Science, Computer Science, Statistics, or a related field.\nProven experience with Python, R, SQL, and relevant data science 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