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Chubb
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June 6, 2025
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Data Scientist

Jersey City, NJ
Full-time
Onsite
$87K/yr - $148K/yr
Entry Level
Chubb is a world leader in insurance, providing a diverse range of insurance products and services globally. They are seeking a Data Scientist to develop solutions for complex business problems, utilizing a variety of analytic tools and technologies to enhance data processes and predictive modeling.
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Responsibilities

  • 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.

Qualification

Required

  • 1-3 years of industry experience.
  • Excellent problem-solving skills with a demonstrated ability to approach complex challenges with creativity, critical thinking, and attention to detail.
  • Demonstrated expertise in Python programming, including strong knowledge of core Python libraries such as NumPy, Pandas, Scikit-learn, TensorFlow or PyTorch.
  • 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.
  • 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.
  • 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.
  • 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.
  • 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.
  • 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.

Preferred

  • 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.

Benefit

Chubb is a mortgage firm that offers risk management, property, health, personal, business, health, home, and life insurance.
Glassdoor
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Founded in 1985
Zürich, Zurich, CHE
10001+ employees
https://www.chubb.com/us-en