Tags: jd economicalInsurance DataScientist
Specialist, Technical - Analytics (Data Scientist) Job ID : 5530 Category : Personal Insurance Brand : Economical Regular/Temporary : Regular Fulltime/Parttime : Full Time Location : Vancouver, Canada
LOVE WHAT YOU DO
Can a 150-year-old company think outside the box? Count on it. Deep experience is our springboard for innovation, whether that’s in how we work with our broker network, how we serve our customers, or how we support our employees.
Economical is part of Definity, a Canadian, multi-channel, property and casualty insurance company whose success is founded on our family of companies’ long history of delivering a superior experience for those who count on us. We’re proud to help our customers, broker partners, employees, and communities adapt and thrive in a world of constant change. Our success in transforming into a digital leader in our industry is driven by a talented and engaged team with a passion for innovation and high performance.
KEY ACCOUNTABILITIES
Develop machine learning models and support the management of models throughout the model lifecycle. Develop, monitor, and enhance analytical solutions in collaboration with business stakeholders and IT professionals. Effectively plan and manage analytics projects, leading team members through technical work. Develop a strong understanding of the insurance business through independent learning and working closely with business stakeholders. Continually focus on innovation and process improvement to promote leading practices and efficiency across the organization.
JOB REQUIREMENTS
University degree in Computer Science, Software Engineering, Mathematics, or a related discipline. Experience with developing and implementing analytics solutions. Excellent communication and organizational skills. Ability to develop creative solutions to complex problems. TECHNICAL COMPETENCIES 3+ years of experience with statistical programming languages like Python, and database query languages like SQL, Hive or Pig. Familiarity with Scala, Java, or C++ is an asset. Significant experience with machine learning techniques like GLM, GAM, XGBoost, Neural Networks, k-NN and SVM, etc. Familiarity with Big Data Technologies such as Hadoop and Spark. Experience with cloud computing platforms such as GCP or AWS is highly desired. Experiencing with CI/CD pipelines for deploying data and machine learning models is highly desired. Knowledge of Git for version control and collaboration is an asset. We also take potential into consideration. If you don’t have this exact experience, but you know you have what it takes, be sure to give us more insight through your application and cover letter.
Go ahead and expect a lot — you deserve it, and we’ve got it:
Hybrid work schedule for most roles Company share ownership program Pension and savings programs, with company-matched RRSP contributions Paid volunteer days and company matching on charitable donations Educational resources, tuition assistance, and paid time off to study for exams Focus on inclusion with employee groups, support for gender affirmation surgery, access to BIPOC counsellors, access to programs for working parents Wellness and recognition programs Discounts on products and services Our inclusive work environment welcomes diversity and supports accessibility. If you require accommodation at any time during the recruitment process, please let us know by contacting: [email protected]
Background checks This role requires successful clearance of a background check (including criminal checks and leadership references).