The North America Sales & Distribution Data Analytics team at Chubb is seeking a Data Scientist with 1-3 years of industry experience to join our fast-paced, high-energy team. As a Data Scientist for North America Data Analytics, you will develop solutions to complex business problems which combine industry standard practices with innovation. This position offers exposure to a wide variety of analytic tools and technologies. Be ready to meet data challenges head-on as you develop and refine data processes to marry data from multiple structured and unstructured data sources which ultimately feed into the evaluation, implementation, and monitoring of predictive models.  

In this role you will:

• Undertake end-to-end analytics projects, either independently or in collaboration with other data scientists and cross-functional teams.
• Take the lead in understanding business requirements and translating them into effective analytics solutions.
• Execute exploratory data analysis, including data cleanup and preprocessing, to extract meaningful insights.
• Propose and implement appropriate approaches for model development, evaluating various algorithms and techniques.
• Support model deployment and monitoring to ensure smooth integration into existing systems.
• Embrace a nimble approach to problem-solving, effectively managing resources, technology, and delivery timelines.
• Identify the most suitable approaches to address specific business challenges, creating and testing quick proof-of-concepts (POCs) before proceeding with full-scale solutions.
• Conduct research to identify and recommend statistical and mathematical methodologies that are best suited for tackling each business problem.
• Demonstrate intellectual curiosity and drive to continually learn and expand expertise in the field of data science.
• Take ownership of portfolios of projects, effectively juggling multiple priorities while delivering high-quality results in a timely fashion.
• Collaborate and communicate effectively with key stakeholders, both technical and non-technical, through written reports and presentations.

• Problem-Solving: Excellent problem-solving skills with a demonstrated ability to approach complex challenges with creativity, critical thinking, and attention to detail.
• Proficiency in Python: Demonstrated expertise in Python programming, including strong knowledge of core Python libraries such as NumPy, Pandas, Scikit-learn, TensorFlow or PyTorch
• Exploratory Data Analysis (EDA) and Complex/Incomplete Data Manipulation: Proficiency in conducting Exploratory Data Analysis (EDA) to understand data patterns, identify outliers, and derive meaningful insights. Experience in handling complex and incomplete datasets, including data cleaning, imputation, and dealing with missing values. Knowledge of advanced techniques such as feature engineering, dimensionality reduction, and handling imbalanced data. Ability to work with unstructured and semi-structured data formats.
• Machine Learning: Proven experience in developing and implementing machine learning algorithms and models, including both supervised and unsupervised learning techniques. Solid understanding of regression, classification, clustering, and anomaly detection algorithms.
• Large Language Model Fine-Tuning: Experience in fine-tuning large language models such as GPT and Llama. Ability to preprocess and prepare data for language model training and fine-tuning. Understanding of transfer learning techniques and model adaptation.
• SQL Proficiency: Strong proficiency in SQL for data querying, manipulation, and analysis. Ability to write complex SQL queries involving multiple tables, joins, subqueries, and aggregations. Familiarity with optimizing SQL queries for performance
• Data Engineering: Understanding of data engineering principles and ability to work with large-scale datasets. Knowledge of distributed computing platforms like Spark. Familiarity with data pipelines and ETL processes is advantageous.
• Communication and Collaboration: Strong communication skills, both written and verbal, with the ability to effectively communicate complex technical concepts to both technical and non-technical stakeholders. Proven experience collaborating within cross-functional teams.

Nice to have

• Exposure to technologies such as DBT, Apache AirFlow or Luigi.
• Experience with Azure suite of applications 
• Working knowledge of containers, specifically Dockerizing APIs.
• Exposure to CI-CD pipelines.
• Comfortable with at least one NoSQL database (MongoDB, ElasticSearch, CosmosDB, etc.).
• Comfortable with command line (Linux, Windows) scripting.
• Strong expertise in authoring ETL pipelines and processing data at scale.

Location:

• We are open to the following work locations for this position: (Philadelphia, PA - Jersey City, NJ - Whitehouse Station, NJ)
• Please note there will be limited expected travel to various work locations for in person collaboration and meetings. 

The pay range for the role is $87,000 to $148,000. The specific offer will depend on an applicant’s skills and other factors. This role may also be eligible to participate in a discretionary annual incentive program.  Chubb offers a comprehensive benefits package, more details on which can be found on our careers website.  The disclosed pay range estimate may be adjusted for the applicable geographic differential for the location in which the position is filled.

Chubb is a world leader in insurance. 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.
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.