Senior Data Scientist — InsurTech Innovation & Impact

Aviva; Markham; Hybrid; CAD 70,000 - 100,000; Full time

Job summary

A leading insurance firm in Markham is seeking an experienced Senior Data Scientist. In this role, you will work on data-driven projects, transforming sophisticated datasets into actionable recommendations. You will collaborate with business partners to develop machine learning models that enhance customer experiences. Candidates should have an MSc in a related field, at least 5 years' experience in model development, and proficiency in Python. This position includes a competitive rewards package, flexible hybrid working, and opportunities for career growth.

Benefits

Base compensation

Annual bonus eligibility

Retirement savings plan

Health benefits

Professional development support

Volunteer opportunities

Competitive vacation package

Qualifications

• 5+ years of experience with model development and large datasets.
• 5+ years programming experience in Python with software engineering methodologies.

Responsibilities

• Transform complex data sets into meaningful conclusions.
• Develop innovative machine learning solutions.
• Communicate recommendations based on data insights.
• Coordinate project delivery based on defined timelines.

Skills

Machine learning

Data analysis

Software engineering

Python programming

Communication

Education

MSc in computer science, engineering, math, statistics, physics

PhD preferred

Tools

Data mining tools

Machine learning frameworks

Job description

A leading insurance firm in Markham is seeking an experienced Senior Data Scientist. In this role, you will work on data-driven projects, transforming sophisticated datasets into actionable recommendations. You will collaborate with business partners to develop machine learning models that enhance customer experiences. Candidates should have an MSc in a related field, at least 5 years' experience in model development, and proficiency in Python. This position includes a competitive rewards package, flexible hybrid working, and opportunities for career growth.