Senior Actuarial and Data Science Consultant
$80k per yearEquitable
At Equitable, we believe work should be a place where you feel supported, inspired, and empowered to grow. Together, we create meaningful impact, for our clients, our communities, and each other. We’re a Canadian mutual company driven by purpose - putting people first and helping Canadians protect today and prepare for tomorrow. Our culture is built on care, passion and curiosity. We are looking for a Senior Data Reporting Analyst to join our Group Actuarial team!
As a Senior Data Reporting Analyst at Equitable, you will play a crucial role in designing, developing, and maintaining data & reporting assets. Your work will directly support our reporting needs and help automate manual processes to improve efficiency and accuracy. You will collaborate with cross-functional teams to understand data requirements and deliver high-quality solutions.
You will work in our office in Waterloo, ON a minimum of two (2) assigned, consecutive days every other week, plus a fifth (5th) assigned day per month. You are welcome to work from the office more than the minimum requirement and there may be some roles that are required to work in our office more than the minimum requirement.
Design, develop, and maintain data & reporting assets
Build and optimize data pipelines to support reporting in Power BI
Collaborate with data analysts, actuaries, and other stakeholders to understand data requirements
Ensure data quality and integrity throughout the data lifecycle
Implement best practices for data management and governance
Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or a related field
- 5+ years of relevant work experience in data engineering or a similar role
- Strong programming skills in Python, including experience with relevant libraries such as pandas, numpy, statsmodels, scikit-learn, and tensorflow.
- Proficiency in Python and SQL
- Experience with database management systems
- Experience with data visualization tools, particularly Power BI
- Knowledge of statistical, machine learning, and deep learning techniques
- Familiarity with big data technologies like Hadoop, Spark, or Kafka
- Experience with CI/CD pipelines and version control systems (e.g., Career Growth: Regular learning sessions and development opportunities
Incentive pay, annual salary reviews, employer-paid benefits and pension matching
Time Away: Competitive vacation plus one paid volunteer day each year
If you need accommodations or alternative formats at any stage, just reach out to us at View email address on canada.jobradars.com’re happy to help.
If you’re selected to move forward, our Talent Acquisition team will walk you through all the details of our total rewards program, so you know exactly what’s included. AI tools may be used to support administrative and productivity tasks throughout the recruitment process, but we believe that evaluating experience, skills, and talent potential requires meaningful human interaction.
As part of our commitment to maintaining a secure and trusted workplace, candidates selected to move forward in the recruitment process will be required to complete a background screening in accordance with company policy.
Reports To: Head of Data & Analytics, Group Insurance
Term: Permanent Full-Time
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