Data Scientist (In-Office) GMS Health Insurance
- Regina, SK, Canada
- Full-time
- In-person
- No Salary Information Available
Posted 17 days ago
GMS Health Insurance, a non-profit organization, has been providing Canadians with health and travel insurance for over 75 years. The company values innovation and community impact, reinvesting profits to serve the health of communities. The Data Scientist role exists to drive analytical processes and improve decision-making in pricing and underwriting, contributing to the company's commitment to customer care and market-leading services.
In this role you can expect to have the responsibilities:
- Develop predictive models to refine pricing strategies and risk assessment.
- Design and implement machine learning algorithms for claims predictions.
- Utilize simulations to optimize premium structures and assess pricing scenarios.
- Apply advanced statistical modeling techniques, including GLMs and Bayesian inference.
- Collaborate with business stakeholders to translate data insights into actionable strategies.
- Analyze large datasets for trends impacting policy pricing and risk selection.
- Build frameworks to enhance underwriting policy approvals.
- Maintain machine learning pipelines for continuous model evaluation.
- Communicate insights to senior management via reports and dashboards.
- Stay abreast of emerging AI and insurance analytics trends.
This role comes with the following benefits:
- Workplace flexibility.
- Opportunities for growth and work-life balance.
This role requires you to have:
- Bachelor or Masters in Data Science, Statistics, Mathematics, or related field.
- 3+ years of data science experience in insurance, healthcare, or financial sectors.
- Proficiency in Python, R, SQL, and visualization tools like Tableau or Power BI.
- Hands-on with machine learning frameworks like TensorFlow and Scikit-learn.
- Expertise in statistical modeling, including GLMs and clustering.
You would benefit from having:
- Experience with cloud platforms like AWS, Azure, or GCP.
- Knowledge of health insurance pricing and underwriting principles.
- Experience with actuarial pricing models.
- Familiarity with health insurance data compliance regulations.
- Proficiency in big data technologies like Spark or Hadoop.
GMS Health Insurance places emphasis on diversity, flexibility, and employee growth, aiming to create a supportive work environment.
The content on this page is not written or managed by Alooba. Please reach out to GMS Health Insurance directly for any addtional information regarding this role.
