Data Scientist
Philadelphia, PA, United States
Company 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. The company is distinguished by its extensive product and service offerings, broad distribution capabilities, exceptional financial strength, underwriting excellence, superior claims handling expertise and local operations globally.
Job Summary
This position offers the opportunity to leverage the entire spectrum of analytics tools towards solving a wide variety of business problems. The focus is on applying a combination of industry standard practices and innovative ideas using structured and unstructured data from multiple sources and applying AI, machine learning and statistical techniques to build, evaluate and implement models. Our team focus’ on creating analytical solutions that solve real world business problems for all lines of insurance products. Analytics empowered technology platforms are changing the way we operationalize model outputs at Chubb. This role will work closely with engineering teams to deploy models as APIs into various cutting-edge platforms. This is a great opportunity to create analytic solutions for multiple lines of business, deepening your insurance product knowledge.
Responsibilities
- Collaborate with business partners and peers in the organization to understand and scope the problem, gather business requirements, and plan projects tasks and timelines.
- Partner with Product Owners and other data scientists on modeling projects (model development & review to implementation).
- Execute all aspects of analytics initiatives including exploratory data analysis, machine learning model development, model evaluation and benefit estimation.
- Build modeling frameworks that can be leveraged for multiple projects. High focus on code reproducibility and creating generalizable technology assets for analytics teams.
- Create excellent working relationships with business partners across the Chubb organization, IT and analytics peer groups.
- Effectively communicate results in written, oral and presentation formats.
- Monitor performance of models and report findings to leadership.
Required Skills/Experience
- 3+ years work experience, preferably in a data, software, or machine learning engineer role
- Expert python and SQL programming (3+ years hands on development)
- Ability to build and maintain custom classes (OOP mastery)
- Experienced with development and implementation of machine learning and statistical models.
- Collaboration, knowledge sharing and keeping up to date on emerging industry trends.
- Passion for solving business problems through analytics.
- Advanced understanding of databases and approaches to extracting data.
- Desire to work in a fast passed, team-oriented environment.
Education
- Masters degree in quantitative field
At Chubb, we are committed to equal employment opportunity and compliance with all laws and regulations pertaining to it. Our policy is to provide employment, training, compensation, promotion, and other conditions or opportunities of employment, without regard to race, color, religious creed, sex, gender, gender identity, gender expression, sexual orientation, marital status, national origin, ancestry, mental and physical disability, medical condition, genetic information, military and veteran status, age, and pregnancy or any other characteristic protected by law. Performance and qualifications are the only basis upon which we hire, assign, promote, compensate, develop and retain employees. Chubb prohibits all unlawful discrimination, harassment and retaliation against any individual who reports discrimination or harassment.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: APIs Data analysis EDA Engineering Machine Learning ML models OOP Python SQL Statistics Unstructured data
Perks/benefits: Career development Insurance
More jobs like this
Explore more AI, ML, Data Science career opportunities
Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.
- Open Data Manager jobs
- Open Principal Data Engineer jobs
- Open Lead Data Analyst jobs
- Open Marketing Data Analyst jobs
- Open Power BI Developer jobs
- Open Data Science Manager jobs
- Open Senior Business Intelligence Analyst jobs
- Open MLOps Engineer jobs
- Open Data Scientist II jobs
- Open Business Data Analyst jobs
- Open Product Data Analyst jobs
- Open Junior Data Scientist jobs
- Open Business Intelligence Developer jobs
- Open Data Analytics Engineer jobs
- Open Sr Data Engineer jobs
- Open Data Analyst Intern jobs
- Open Senior Data Architect jobs
- Open Principal Data Scientist jobs
- Open Sr. Data Scientist jobs
- Open Research Scientist jobs
- Open Big Data Engineer jobs
- Open Manager, Data Engineering jobs
- Open Azure Data Engineer jobs
- Open Data Quality Analyst jobs
- Open Junior Data Engineer jobs
- Open GCP-related jobs
- Open Data quality-related jobs
- Open Java-related jobs
- Open ML models-related jobs
- Open Business Intelligence-related jobs
- Open Data management-related jobs
- Open Privacy-related jobs
- Open PhD-related jobs
- Open Deep Learning-related jobs
- Open Data visualization-related jobs
- Open NLP-related jobs
- Open PyTorch-related jobs
- Open Finance-related jobs
- Open TensorFlow-related jobs
- Open APIs-related jobs
- Open LLMs-related jobs
- Open Generative AI-related jobs
- Open Consulting-related jobs
- Open CI/CD-related jobs
- Open Snowflake-related jobs
- Open Hadoop-related jobs
- Open Kubernetes-related jobs
- Open Data governance-related jobs
- Open Databricks-related jobs
- Open Data warehouse-related jobs