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Job Requirements • Work with business partners globally to define the scope of the project, determine analyses to be performed, manage deliverables against timelines, present of results and implement the model • Use broad spectrum of NLP, Machine Learning and deep learning techniques to extract impactful features from unstructured data • Develop and implement models that help with automating the underwriting and pricing process; Ensure that the model is able to meet the desired KPIs post production • Be a thought leader and generate ideas / novel approaches to business problems • Stay abreast of the developments in the rapidly changing field of AI and machine learning • Handle stakeholder requests and perform work with little to no assistance • Mentor and coach junior team members and provide support on projects requiring advanced skill and domain expertise • Gain deeper understanding of Chubbs business and develop expertise on multiple lines of business Work Experience • Sound understanding of ML concepts Probabilistic Models, Supervised vs Unsupervised Learning, Ensemble Techniques, Hyperparameter Optimization, and Deep Learning; Strong experience in developing and maintaining machine learning models. · Proficient in Python with strong capabilities in data engineering, data transformation, data analysis and data visualization. Knowledge of R/SQL will be a plus · Good knowledge in machine learning tools and libraries (scikit-learn, h2o, R, MLlib, etc) • 3-10 years programming experience in Python, including Numpy, Scipy, Pandas, Regex, Matplotlib and other machine learning libraries • Experience in visualization tools like Qlik, Power BI etc. will be an added advantage • Must have experience with data and machine learning services using Azure • Must have experience with Github and RESTful APIs • Knowledge/ Experience in Big data technologies will be an advantage • Should be able to work in a team setting to understand problems and map out solutions; Must have strong problem solving skills • Multi-tasking along with strong organization and time management skills is essential • Should be adept at research and must look to apply new methodologies to varied situations • Strong communication and presentation skills • Must possess an advanced degree in data science, business analytics, computers, statistics, mathematics or economics

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