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You will be updated with latest job alerts via emailSupport the implementation of data services that align with business objectives
Validate data accuracy and consistency under the supervision of senior analysts
Perform exploratory data analysis (EDA) to identify patterns anomalies and cost trends
Support senior data scientists in building and testing predictive models (e.g. claims cost forecasting fraud detection)
Summarize findings in charts tables and visualizations
Basic feature engineering and data transformations for model inputs
Analyze member demographics and usage patterns to identify segments that drive claim costs
Evaluate the impact of wellness programs on claims experience
Build and update dashboards and reports showing key claims KPIs (e.g. average claim cost utilization rates high-cost claimants)
Automate simple reporting tasks using Excel Power BI or Python visualization libraries
Collaborate with data engineering actuarial/underwriting and claims operations teams to understand data flows and business rules
Participate in team meetings to learn how data insights support plan design pricing and cost management
Document data sources analysis processes and model results in clear concise formats
Research emerging analytics techniques in health claims data analysis and present key learnings to the team
Core Technical Skills
Programming Languages: Knowledge of Python or R for data analysis
Data Querying: Familiarity with SQL for extracting and manipulating data
Data Visualization: Experience with visualization tools like Power BI Tableau or Python libraries
Statistics & Mathematics: Understanding of statistical methods (mean variance regression hypothesis testing)
Excel Proficiency: Ability to use pivot tables charts and data cleaning functions
Analytical & Business Skills
Exploratory Data Analysis (EDA): Ability to identify patterns anomalies and trends in health claims data
Predictive Modeling: Exposure to machine learning concepts (regression classification)
Domain Awareness: Interest in healthcare/insurance claims provider networks and cost drivers
Problem Solving: Logical thinking to interpret data and deliver actionable insights
Soft Skills
Attention to Detail: Ensuring data quality and accuracy in analyses
Communication: Ability to present findings in a simple and clear manner to non-technical audiences
Collaboration: Comfort working in cross-functional teams (actuarial data services IT finance)
Curiosity & Learning Mindset: Willingness to research new data science techniques and healthcare analytics trends
Preferred / Nice-to-Have Skills
Exposure to big data tools (e.g. Databricks Spark or AWS/Azure/GCP environments)
Experience with version control tools like Git/GitHub
Basic understanding of data governance and privacy requirements in healthcare (PHIPA PIPEDA)
Preferred Experience
Currently enrolled in (or recently graduated from) a degree program in Actuarial program Data Science Statistics Computer Science Mathematics Engineering or another quantitative discipline
Strong analytical and problem-solving mindset
Eagerness to learn new technologies and techniques
Good written and verbal communication skills
Ability to work in a team environment and follow guidance
Attention to detail especially when handling sensitive health data
Learn by working alongside our experts
At People Corporation we are committed to helping businesses succeed. We are a national provider of benefits retirement wealth wellness and human resource solutions. Our experts and solutions serve over 20000 clients representing nearly 3 million Canadians. We offer customized solutions designed to fit the unique needs of businesses and their employees members and stakeholders.
Providing an inclusive accessible environment where all employees and clients feel valued respected and supported is something were committed to. We are dedicated to building a workforce that reflects the diversity of the communities in which we live and to creating an environment where every employeehas the opportunity toreach their potential. If you require an accommodation or an alternative format of any posting please reach out to.
Required Experience:
Intern
Full-Time