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Data Scientist

CogniSure -   Bengaluru   Karnataka

Posted 217 days ago

Salary: Not Disclosed

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<p>CogniSure is full of people that are passionate problem solvers. Nothing is impossible. The insurance industry is a complex industry that is on the brink of a major digital transformation. Cognisure is an innovate new company that is meeting the challenge of unstructured data in the insurance industry head on. Our platform will change the industry on a global scale and we are looking for qualified candidates that are ready to grow with us. If you are ready to be challenged learn and work in an exciting and fast paced environment CogniSure is the place for you.</p><p>Don't miss this opportunity to be part of our team, please send your resume to <a href="mailto:careers@cognisure.ai">careers@cognisure.ai</a></p><h5>Experience</h5><p>1 to 4 years.</p><h5>Summary Of Position</h5><ul><li>We are looking for a Data Scientist to support our product, Business solutions and customer requirements.</li><li>The candidate must have experience using a variety of data analysis methods, using a variety of data tools, building, and implementing models, creating algorithms, and running simulations.</li><li>They must have a proven ability to drive business results with their data-based insights.</li><li>They must be comfortable working with a wide range of engineering and functional teams.</li></ul><h5>Roles And Responsibilities</h5><ul><li>Mine and analyze data from valuable data sources to drive optimization and improvement of product development, marketing techniques and business strategies.</li><li>Undertake pre-processing of structured and unstructured data.</li><li>Assess the effectiveness and accuracy of new data sources and data gathering techniques.</li><li>Build custom data models and machine-learning algorithms to apply to data sets.</li><li>Use predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting and other business outcomes.</li><li>Develop company A/B testing framework and test model quality.</li><li>Collaborate with engineering, functional and product development teams to implement models.</li><li>Develop processes and tools to monitor and analyze model performance and data accuracy.</li><li>Present information using data visualization techniques.</li></ul><h5>Requirements</h5><ul><li>Proven experience as a Data Scientist and data mining.</li><li>Strong problem-solving skills with an emphasis on product development.</li><li>Experience using statistical computer languages (R, Python, SQL, etc.) to manipulate data and draw insights from large data sets.</li><li>Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks.</li><li>Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications.</li><li>Experience using data visualization tools, (e.g. Tableau and Qlik) and data frameworks.</li><li>Excellent communication and presentation skills for coordinating across teams.</li><li>A drive to learn and master new technologies and techniques.</li></ul><h5>Technologies And Tools Needed</h5><ul><li>R, Python, SQL and data visualization tools</li></ul><h5>Software Engineer</h5><h5>Insurance Business Consultant</h5><h5><br></h5><p><br></p>

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