Data Scientist / Machine Learning (Financial Services)
Strategic and highly visible consulting opportunity in the insurance industry for a senior digital analytics expert. Use Python, SQL, and Tableau to lead advanced audit analytics, data automation, and risk insights. Hybrid role in Toronto with global collaboration, executive exposure, and hands-on data science application.
What is in it for you :
- Salaried : $51 per hour.
- Incorporated Business Rate : $60 per hour.
- 5-month contract.
- Full-time position : 37.50 hours per week.
- Hybrid role, 2 days per week in Toronto office.
- Join a passionate and inclusive team of professionals.
Responsibilities :
Own and deliver analytical project planning and execution for audit and advisory engagements.Define scope, objectives, and deliverables with audit teams and perform data analytics procedures to evaluate controls and business objectives.Generate analytics insights, identify outliers or anomalies, and support automation in audit processes.Collaborate with IT and business stakeholders to access and interpret data structures and sources.Develop access plans, gather data, and document system and business process knowledge for future reuse.Lead initiatives in audit digitization, including continuous auditing, automated monitoring, and process automation.Apply programming, statistics, data visualization, ML Ops, and machine learning to identify control gaps and enhance assurance quality.Contribute to shaping audit strategy and policies, driving continuous improvement using technology.Design and deliver analytics training in SQL, Python, and Tableau for internal audit teams.Build relationships with audit stakeholders and internal / external analytics communities.What you will need to succeed :
Advanced degree in a quantitative discipline such as Data Science, AI, Engineering, Operations Research, Computer Science, Statistics, or Mathematics.8+ years of experience in the financial or insurance industry.5+ years of experience in data science or machine learning roles.2+ years of experience developing and productionizing NLP or generative AI models; GitHub portfolio of relevant work is preferred.5–7 years of hands-on experience with SQL and Python, including libraries such as NumPy, pandas, matplotlib, and scikit-learnProficiency in data visualization tools such as Tableau or Power BI.Demonstrated ability to create executive-level dashboards and storytelling visualizations.Strong written and verbal communication skills.Ability to influence across all organizational levels and work through ambiguity.Deep knowledge of IT, data analytics, digital processes, and internal controls in a corporate environment.Practical experience with statistical analysis techniques such as regression, clustering, and decision trees.Familiarity with AWS SageMaker and machine learning pipelines.Knowledge of digital platforms, web, mobile, personalization, and AI technologies.Bonus : Experience with audit analytics tools such as Archer, Arbutus, Alteryx, or Dataiku.Why Recruit Action?
Recruit Action (agency permit : AP-2000003) provides recruitment services through quality support and a personalized approach to job seekers and businesses. Only candidates who match hiring criteria will be contacted.
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