Data Scientist – GenAI, LLM & Sales Analytics (Insurance)

Data Scientist – GenAI, LLM & Sales Analytics (Insurance)

Drive advanced analytics and GenAI innovation within the insurance sector by transforming complex sales data into actionable insights. This role combines Python, machine learning, and BI tools to enhance advisor workflows, optimize performance, and support AI‑powered sales enablement in a fast‑paced, collaborative environment.

What is in it for you

• Salaried: $40‑50 per hour
• Incorporated Business Rate: $50‑60 per hour
• Contract: 9‑month fixed‑term
• Full‑time: 37.50 hours per week
• Remote: Monday and Friday
• On‑site: Tuesday to Thursday

Responsibilities

• Analyze, clean, and prepare complex datasets to support the development and evaluation of AI‑driven features.
• Collaborate with business stakeholders to understand sales workflows, define requirements, and align on key performance indicators.
• Develop dashboards and reporting tools to monitor adoption, performance, and business impact.
• Support prompt evaluation, annotation, and quality assurance processes for AI‑generated outputs.
• Build and maintain structured knowledge bases, taxonomies, and metadata for retrieval‑augmented systems.
• Generate insights to improve sales processes and enhance advisor and client experiences.
• Deliver analytics projects of moderate complexity aligned with business goals and timelines.
• Integrate and analyze data across multiple internal systems to uncover trends and opportunities.
• Translate analytical findings into clear business recommendations for stakeholders.
• Document processes, data sources, and methodologies to support continuous improvement.
• Collaborate with cross‑functional teams and contribute to knowledge sharing and best practices.
• Provide guidance and informal mentorship to junior team members when required.

What you will need to succeed

• Bachelor’s degree in Statistics, Mathematics, Computer Science, Engineering, or equivalent technical experience.
• 3 to 5 years of experience in data analysis or data science, ideally within sales operations or the insurance industry.
• Strong proficiency in Python for data analysis, modeling, and automation.
• Solid understanding of statistical methods and machine learning techniques.
• Experience with BI tools such as Power BI, Tableau, or similar platforms.
• Familiarity with relational databases, data modeling, and large‑scale data environments.
• Knowledge of GenAI concepts, including prompt engineering, LLM evaluation, and guardrails.
• Experience with Git and version control best practices.
• Ability to work with ambiguous problems and translate them into structured analytical approaches.
• Strong communication skills to convey technical insights to non‑technical stakeholders.
• Exposure to tools and environments such as Azure, Databricks, MLOps, or RAG pipelines is an asset.
• Strong problem‑solving mindset with the ability to manage priorities and navigate complex datasets in fast‑paced environments.
• Ability to work collaboratively while maintaining autonomy and ownership of deliverables.

Why Recruit Action?

Recruit Action (agency permit: AP‑2504511) provides recruitment services through quality support and a personalized approach. As part of the screening process, some applications may be reviewed using artificial intelligence tools. Only candidates who meet the hiring criteria will be contacted.

Job Details

• Job ID: # MFCJP00016448
• Job Types: Full‑time, Fixed term contract
• Contract length: 9 months
• Pay: $40.00‑$60.00 per hour
• Expected hours: 37.50 per week
• Benefits: Work from home

Experience Requirements

• Data Science / Data Analysis: 3 years (required)
• Python and SQL: 3 years (required)
• BI tools (Power BI / Tableau): 3 years (required)
• Exposure to LLM / GenAI: 2 years (required)
• Strong communication skills: 1 year (required)
• Insurance, sales analytics, or advisor workflows: 1 year (required)
• Azure, Databricks or MLOps: 1 year (preferred)

Work Location

Hybrid remote in Toronto, ON M4W 1E5