Data Scientist / Machine Learning (Financial Services)
Recrute Action
Contract
On-site
Toronto, Ontario, Canada
Data Scientist / Machine Learning (Financial Services)
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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.
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What is in it for you:
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• Salaried: $51 per hour.
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• Incorporated Business Rate: $60 per hour.
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• 5 -month contract.
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• Full -time position: 37.50 hours per week.
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• Hybrid role, 2 days per week in Toronto office.
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• Join a passionate and inclusive team of professionals.
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Responsibilities:<\/b>
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• Own and deliver analytical project planning and execution for audit and advisory engagements.
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• Define scope, objectives, and deliverables with audit teams and perform data analytics procedures to evaluate controls and business objectives.
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• Generate analytics insights, identify outliers or anomalies, and support automation in audit processes.
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• Collaborate with IT and business stakeholders to access and interpret data structures and sources.
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• Develop access plans, gather data, and document system and business process knowledge for future reuse.
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• Lead initiatives in audit digitization, including continuous auditing, automated monitoring, and process automation.
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• Apply programming, statistics, data visualization, ML Ops, and machine learning to identify control gaps and enhance assurance quality.
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• Contribute to shaping audit strategy and policies, driving continuous improvement using technology.
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• Design and deliver analytics training in SQL, Python, and Tableau for internal audit teams.
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• Build relationships with audit stakeholders and internal/external analytics communities.
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What you will need to succeed:
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• Advanced degree in a quantitative discipline such as Data Science, AI, Engineering, Operations Research, Computer Science, Statistics, or Mathematics.
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• 8+ years of experience in the financial or insurance industry.
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• 5+ years of experience in data science or machine learning roles.
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• 2+ years of experience developing and productionizing NLP or generative AI models; GitHub portfolio of relevant work is preferred.
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• 5–7 years of hands -on experience with SQL and Python, including libraries such as NumPy, pandas, matplotlib, and scikit -learn
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• Proficiency in data visualization tools such as Tableau or Power BI.
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• Demonstrated ability to create executive -level dashboards and storytelling visualizations.
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• Strong written and verbal communication skills.
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• Ability to influence across all organizational levels and work through ambiguity.
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• Deep knowledge of IT, data analytics, digital processes, and internal controls in a corporate environment.
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• Practical experience with statistical analysis techniques such as regression, clustering, and decision trees.
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• Familiarity with AWS SageMaker and machine learning pipelines.
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• Knowledge of digital platforms, web, mobile, personalization, and AI technologies.
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• Bonus: Experience with audit analytics tools such as Archer, Arbutus, Alteryx, or Dataiku.
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Why Recruit Action?<\/b>
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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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# SLFJP00005557
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