Senior Data Scientist at Chubb in Philadelphia, Pennsylvania

Job Description:

Chubb is the world’s largest publicly traded property and casualty insurer. With operations in 54 countries, Chubb provides commercial and personal property and casualty insurance, personal accident and supplemental health insurance, reinsurance and life insurance to a diverse group of clients. Chubb is also defined by its extensive product and service offerings, broad distribution capabilities, exceptional financial strength and local operations globally. 

This entry to mid level AI position within Chubb is part of the Digital Analytics team that is at the foreftont of developing bleeding edge machine learning algorithms for AI-based applications.

AI Data Scientist is a highly technical job that uses deep learning and other advanced machine learning techniques to automate underwriting processes. This person will be working in a vibrant data science group, alongside data engineers, data analyts, 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 background in data science, statistics, computer programming, or related field who is eager to tackle problems with innovative thinking without compromising detail business insights. You are adept at solving diverse business problems by utilizing a variety of different tools, strategies, machine learning techniques, algorithms and programming languages.

Skills Required

• Deep understanding of ML and DL concepts such as Probabilistic Models, Supervised and Unsupervised Learning, Ensembling, Hyperparameter Optimization, Embeddings, Transfer Learning and Autoencoders.


• 2-3  years programming experience in Python, including Numpy, Scipy, Pandas, Regex, Matplotlib, a machine learning library such as Scikit Learn and a deep learning library such as Tensorflow or Pytorch.


• Experience in data visualization.


• Ability to work with business partners to understand problems and solution expectations to frame hypothesis


• Must have strong problem solving skills


• Multi-tasking along with strong organization and time management skills.


• Strong communication and presentation skills.

Preferred Skills:

• Experience with data and machine learning services using Azure


• Experience with Github


• Extensive experience working with Data APIs (Working with RESTful endpoints and/or SOAP)


• Experience in a major AI/NLP platform (e.g. API.ai, Wit.ai etc.) is a must

Qualifications/Experience

• Masters Degree in Data Science, Statistics, Computer Science or related educational background or PhD in a science involving modeling and scientific programming


• 2-5 years of advanced AI and machine learning techniques and applications