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- Toronto, ON
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Data Scientist / Machine Learning (Financial Services)
Salary
Job Description
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-learn • Proficiency 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. # SLFJP00005557Applying Instructions
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