Senior Data Scientist

We are partnered with one of the leading insurance technology companies. They have created a content sharing platform that helps create a seamless customer experience for their clients. Currently, they are looking for a Senior Data Scientist who can combine strong statistical modeling skills with a practical mindset for production-ready solutions.

As a Senior Data Scientist, you will lead the development and implementation of scalable data science solutions that inform key decisions across our cloud-based insurance platform. Collaborating with engineering, architecture, and product teams, you'll design predictive models, conduct experiments, and generate insights that support strategic efforts in underwriting, distribution, and operational processes.

REWARDS

• Base pay range between $130,000-$145,000 depending on experience
• Full comprehensive benefits (medical, dental, vision)
• 401k and RRSp retirement savings plans with company match
• PTO and paid sick leave

Requirements

• Experience with insurance or financial data is preferred for this role
• 5+ years of experience in data science or machine learning roles, ideally in a cloud-native environment
• Strong Python programming experience with libraries such as scikit-learn, XGBoost, Pandas, and Matplotlib
• Deep experience with SQL and analytical databases, especially BigQuery
• Hands-on experience using Vertex AI, BigQuery ML, AutoML, or equivalent ML tooling
• Familiarity with GCP services like BigQuery, Cloud Storage, Cloud Functions, and Pub/Sub
• Working knowledge of MLOps practices, including monitoring and pipeline orchestration
• Bachelor’s or Master’s degree in Computer Science, Statistics, Data Science, or a related field

Responsibilities

• Develop and deploy predictive models and analytical solutions
• Build and automate pipelines for data ingestion, feature engineering, model training, evaluation, and deployment
• Use AutoML tools where appropriate to accelerate experimentation and rapidly prototype solutions
• Collaborate with data engineering and DevOps teams to embed models into cloud-native applications and analytics platforms
• Partner with stakeholders to translate business challenges into data science use cases with measurable outcomes
• Maintain documentation and communicate insights clearly across technical and non-technical teams

Emerge is committed to being an equal opportunity employer. We prohibit discrimination and harassment of any kind based on race, color, religion, age, sex, national origin, disability, genetics, veteran status, sexual orientation, gender identity or expression, or any other protected characteristic. In compliance with the Job Application Fairness Act, we ensure a fair and equitable recruitment process and provide necessary and reasonable accommodations. We value diversity and encourage individuals from all backgrounds and experiences to apply.