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.
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.
