Data Scientist– AI/ML

Chubb; Toronto; On-site; CAD 70,000 - 100,000; Full time

Job summary

Chubb seeks a proactive Data Scientist to join its Global Analytics Team in Toronto. The successful candidate will develop solutions to complex business problems, conduct data analysis, build machine learning models, and communicate findings effectively to diverse partners. The role offers opportunities for innovation and intellectual growth in a dynamic environment.

Qualifications

• 1-2 years of experience in data analytics and developing machine learning solutions.
• Solid understanding of machine learning models.
• Strong proficiency in SQL for data analysis.

Responsibilities

• Collaborate in extracting and manipulating data from various sources.
• Execute exploratory data analysis and clean data.
• Support model deployment and monitoring.

Skills

Data analysis

Machine learning

Deep learning

Python

SQL

Problem-solving

Communication

Education

Bachelor’s degree in Computer Science, Data Science, Engineering, Applied Mathematics, or related field

Tools

PyTorch

Sci-kit Learn

Job description

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.

Key Objectives:
Chubb's Global Analytics Team is seeking a proactive Data Scientist with exceptional analytical skills to join our vibrant and fast-paced environment, dedicated to driving innovative solutions.

As a Data Scientist, you will develop solutions to complex business problems which combine industry standard practices with innovation. The ideal candidate will conduct data analysis to uncover insights and trends. They will build and optimize machine learning models to enhance data-driven decision-making. Additionally, the role involves implementing, evaluating model performance, and making recommendations for improvements.


Major Responsibilities:

• Collaborate in extracting and manipulating data using data management tools from internal and external data sources.
• 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.
• Demonstrate intellectual curiosity and drive to continually learn and expand expertise in the field of data science.
• Communicate and present findings to business partners, both technical and non-technical, to ensure successful integration of projects into business processes. Proactively follow up on any issues that were raised during presentations.

Qualifications

Must Have:

• Minimum of a bachelor’s degree, preferably in Computer Science, Data Science, Engineering, Applied Mathematics, or related field.
• At least 1-2 years of experience in data analytics and developing machine learning and deep learning-based solutions with significant expertise in writing code in Python.
• Solid understanding of machine learning models, including but not limited to ensemble learning, deep learning, and foundational algorithms.
• Proficient in ML and DL frameworks and libraries (e.g., PyTorch, Sci-kit Learn, etc) and their implementation.
• Proficiency in conducting data analysis such as handling complex and incomplete datasets
• Strong proficiency in SQL for data querying, manipulation, and analysis.
• Excellent problem-solving skills with a demonstrated ability to approach complex challenges with creativity, critical thinking, and attention to detail.
• Strong communication skills, both written and verbal, with the ability to effectively communicate complex technical concepts to both technical and non-technical stakeholders.

Nice to have:

• Experience with Natural Language Processing (NLP)
• Understanding of data engineering principles and ability to work with large-scale datasets, as well as knowledge of distributed computing platforms like Spark

At Chubb we are committed to providing equal employment opportunities to all employees and applicants. It is our policy to provide equal employment opportunities to employees and applicants based on job-related qualifications and ability to perform a job. If you require an accommodation during the hiring process or upon hire, please inform Human Resources. If a selected applicant requests accommodation during the recruitment process, Chubb will consult with the applicant in order to provide suitable accommodation that takes into account the applicant’s accessibility needs.