Experienced Professional

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