The incumbent will be responsible in understand the business needs, derive actionable use cases and lead the implementation of data science solutions.-Work closely various stakeholders to understand their challenges, objectives, and opportunities for leveraging data science solutions.-Proactively identify and define potential business use cases where data science techniques and models can provide valuable insights and drive impactful outcomes.-Utilize advanced analytical techniques to explore and analyze relevant data sets, uncover patterns, correlations, and trends that can inform the development of effective data science solutions.-Create visually compelling dashboards, reports, and presentations to communicate data-driven insights to stakeholders in a clear and understandable manner.-Lead the design and development of data science models, algorithms, and prototypes to address identified business use cases, considering scalability, feasibility, and technical constraints.-Conduct rigorous evaluation and testing of implemented models to ensure accuracy, reliability, and alignment with business requirements. Make necessary refinements and optimizations as needed.A well remunerated position with strong growth potential|Highly flexible working conditions-A degree in Engineering, Statistics, Data Science, Applied Mathematics, Computer Science, Business Analytics or related technical field.-Proficiency in statistical analysis, machine learning techniques, programming languages such as Python or R, and Deep Learning framework such as TensorFlow, PyTorch. Familiarity with data visualization tools and SQL is desirable.-Strong business understanding and the ability to translate business requirements into data science solutions effectively.-Proven experience in managing end-to-end data science projects, including requirements gathering, solution design, implementation, and post-deployment support.Our client is a Local conglomerate that has business units across the industry including tourism, property, healthcare and others.A well remunerated position with strong growth potentialHighly flexible working conditionsDrive and Lead Data science projects in a Modern environment
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