Data Scientist - Markham, Canada - Allstate Canada

Allstate Canada

Verified Company

Markham, Canada

2 weeks ago

Posted by:

Sophia Lee

beBee Recruiter

Description

Who is Allstate:

Allstate Insurance Company of Canada is a leading home and auto insurer focused on providing its customers prevention and protection products and services for every stage of life.

The company is proud to have been named a Best Employer in Canada for nine consecutive years and prioritizes supporting employees and fostering an inclusive, welcoming corporate culture.

Allstate is committed to making a positive difference in the communities in which it operates through partnerships with charitable organizations, employee giving and volunteerism.

Serving Canadians since 1953, Allstate strives to provide reassurance with its "You're in Good Hands" promise.

Through our Employee Value Proposition, Opportunity, Flexibility, Community, Diversity and Family, we have worked hard to develop and nurture a culture where employees feel valued, experience personal growth, have career options and truly enjoy the work they do._

Role Designation:
Hybrid

Benefits to joining Allstate

Flexible Work Arrangements
Employee discounts (15% on auto and property insurance, plus many other products and services)
Good Office program (receive up to 400$ back after purchasing office equipment)
Student Loan Payment Matching Program for Government Student loans
Comprehensive Retirement Savings Program with employer matched contributions
Annual Wellness allowance to support employees with improving health and wellbeing
Personal reflection day
Tuition Reimbursement
Working within the community and giving back

Job description:

Allstate Insurance Company of Canada is looking for exceptional data scientist to synthesize our extensive policyholder and claims data into business enhancing predictive models that will ultimately impact the company's bottom line.

This is a unique opportunity to join a new, multidisciplinary team who work on high-impact projects to bring efficiencies to all functional areas of our business.

The team works in a fast-paced environment, using techniques and algorithms best suited for solving challenging problems of the insurance industry.

Accountabilities:

Qualifications:

Minimum of 3 years of Machine Learning and analytics experience within a professional services firm or similar industrial environment.
Bachelor's degree or higher from an accredited college in a Mathematics, Statistics, Actuarial Sciences, Computer Science, Physics, Engineering, or a related field.
Strong programming skills, ability to write production level code in Python.
Working experience in Machine learning algorithms, model implementation and optimization to solve Regression, Classification and Segmentation problems.
Experience with ML frameworks/libraries e.g. Scikitlearn, Pandas, Matplotlib, Seaborn, Tensor flow or Pytorch.
Business and analytics acumen to run and interpret the results of models turn large amounts of complex, detailed information into clear summaries and business recommendations.
Excellent collaboration skills and the ability to work in a team environment and across multiple sites and business units.
Excellent communication and interpersonal skills be able to effectively communicate complex results to a business audience not familiar with complex data and analytics.

Allstate Canada Group has policies and practices that provide workplace accommodations. If you require accommodation, please let us know and we will work with you to meet your needs.

Job Types:
Full-time, Permanent

Benefits:

Dental care
Life insurance
Paid time off
Vision care

Schedule:

Monday to Friday

Ability to commute/relocate:

Markham, ON: reliably commute or plan to relocate before starting work (required)

Application question(s):

Are you comfortable working in a hybrid setting?
How many years of work experience do you have with Python (Programming Language)?
How many years of Data Scientist experience do you currently have?
What are your salary expectations?

Education: