The Purpose of the role

As a key member of the Advanced Analytics, he/she will be at the foreftont of developing new innovative data driven solutions with bleeding edge machine learning algorithms.

AI Data Scientist is a technical job that uses machine learning techniques to automate underwriting processes and/or pricing solutions. This person will be working in a vibrant data science group, alongside data engineers, data analysts, architects, and code developers to develop these solutions and put them into production for the business.

Ideal candidate for this role is someone with a strong education in computer science, data science, statistics, applied math or a related field, and who is eager to tackle problems with innovative thinking without compromising detail business insights. You are adept at solving diverse problems by utilizing a variety of different tools, strategies, machine learning techniques, algorithms and programming languages.

Responsibilities

• 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

Requirements 

• 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