Sr. Data Scientist

The North America Data Analytics team at Chubb is seeking a Sr. Data Scientist with 5 years of industry experience to join our fast-paced high-energy team. This team is responsible for delivering AI solutions to our business partners that will meet business objectives and move-the-needle to improve upon key performance metrics.

As aSr. Data Scientist for North America Data Analytics focusing on AI and Machine Learning capabilities you will develop solutions to complex business problems which combine industry standard practices with innovation. You will focus on building pipelines and designing architecture to facilitate AI/ML capabilities. This position offers exposure to a wide variety of analytic tools and technologies. Be ready to meet analytic challenges head-on as you develop and refine AI/ML data processes for Chubb.

In this role you will:

• Collaborate with business partners and peers within the organization to understand and scope the problem gather business requirements and facilitate the data integration process.
• Work as an individual contributor and/or as a team of data scientists to develop implement and test Artificial Intelligence and Machine learning models to solve complex business challenges on Azure platform.
• Synthesize data to uncover inherent trends assess impact of data on business usage and to make recommendations for improvement.
• Perform data validation preprocessing and exploratory data analyses to translate analytical findings into relevant business insights
• Research & implement novel AI/ML predictive modelingapproachesincludingbut not limited to zero-shot/few-shot learning embedding techniques fine-tuning etc.
• Ensure high quality code that meets business objectives quality standards and secure web development guidelines.
• Integrate with data / document sources using APIs and / or data pipelines.
• Create excellent working relationships with business partners across the Chubb organization IT and Analytics peer groups.
• Effectively communicate with key stakeholders in written oral and presentation formats.

Required:

• 4 years hands on experience with both supervised and unsupervised Machine Learning (ML) algorithms with deep expertise in writing and reviewing production code in Python/PySpark.
• Knowledge of ML frameworks and libraries (such as AutoML TensorFlow/Pytorch) and exposure to various MLalgorithmsand their practical implementation in production at large scale.
• Experience with designing and deploying scalable end-to-end Machine Learning/NLP systemsas Databricks jobs/ dockerized containers andfamiliarity with API frameworks/tools such as FastAPI etc.
• Experience with NLPtechniquesaround text cleaning/pre-processing entity extraction encoder-decoder architectures similarity matching etc.
• Working knowledge/familiarity with Git version control
• Experience with Prompt Engineering Chunking LLM evaluation techniques
• Ability to multi-task learn new things quickly and have excellent problem solving & communication skills.
• A mindset for collaboration knowledge sharing and keeping up to date on emerging industry trends.

• Appetite for learning and keeping up to date on the latest generative AI technologies and processes

  Preferred:

• Prior experience in property and casualty insurance and / or knowledge of claims and underwriting functions
• Hands-on experience with big data technologies and cloud (Databricks / Spark Azure/AWS/GCP/Snowflake).
• Advanced knowledge of model tuning evaluation and operationalization
• Extensive understanding of LLM functionality and inference techniques
• Experience with Deep Learning libraries (Tensorflow/Keras PyTorch MXNet etc.).
• Comfortable with command line (Linux Windows) scripting.
• Familiarity with generative AI techniques such as GANs (Generative Adversarial Networks) VAEs (Variational Autoencoders) or other generative models.

• Experience with architecting and consuming APIs in a scalable (multi-threaded/batched) fashion.

  Nice to have:

• Experience with at least one other programming language (R Julia Scala Go Java C).
• Exposure to technologies such as DBT Apache AirFlow or Luigi.
• Working knowledge of containers specifically Dockerizing APIs.
• Exposure to CI-CD pipelines.
• Comfortable with at least one NoSQL database (MongoDB ElasticSearch CosmosDB etc.).

• Education

  • Bachelors / Masters degree ina technical field such as Statistics Computer Science Data Science Bioinformatics Physics Mathematics Operations Research Economics or Engineering are preferred(advanced degree a plus).

Location:

• We are open to the following work locations for this position: (Jersey City NJ Whitehouse Station NJ Madison Avenue NYC or Philadelphia PA).

• 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 $125400 to $182600. The specific offer will depend on an applicants 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 foundon 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.