ironquill.tech/board

$ cat jobs/senior-data-scientist-data-analytics-deloitte6-777539c18c4a.json

Senior Data Scientist | Data Analytics

Deloitte6·Worldwide·Midrand, ZA·senior
mldata engineering
Apply on smartrecruiters → Get AI match score →
At Deloitte, our Purpose is to make an impact that matters for our clients, our people, and society. This is the lens for which our global strategy is set. It unites Deloitte professionals across geographies, businesses, and skills. It makes us better at what we do and how we do it. It enables us to deliver on our promises to stakeholders, while creating the lasting impact we seek. Harnessing the talent of 450,000+ people located across more than 150 countries and territories, our size and scale puts us in a unique position to help change the world for the better—by bringing together the services we provide, the societal investments we make, and the collaborations we advance through our ecosystems. Deloitte offers career opportunities across Audit & Assurance (A&A), Tax & Legal (T&L) and our Consulting services business, which is made up of Strategy, Risk & Transactions Advisory (SR&T) and Technology & Transformation (T&T). Join our Assurance Data Team and help build the next generation of AI and Data solutions. This is a hands-on role focused on developing data-driven solutions with an Audit and Assurance lens, across client environments. You'll work across data engineering, machine learning, and Generative AI to deliver scalable, explainable, and audit-ready analytical solutions. Key Responsibilities Design and develop analytics, machine learning models, and AI solutions for continuous assurance. Build and maintain data pipelines, models, and reporting outputs. Apply machine learning and Generative AI to use cases such as anomaly detection, risk monitoring, document intelligence, and pattern recognition. Monitor and improve model performance, accuracy, explainability, and reliability. Create dashboards for reporting that translate complex analytics into actionable insights. Integrate and model data from multiple source systems. Collaborate with various audit and assurance teams and the client teams to deliver practical, business-focused solutions. Stakeholder mana

Similar remote roles

Final year internship - Marketing Data Scientist
Sia · Worldwide · junior
Data Engineer, Platform
Eneba · Worldwide · mid
AI & Machine Learning Engineer (M/F)
TNP Consultants · Worldwide · mid
Machine Learning Engineer
Signific · Worldwide · mid
Data Engineer
remedy product studio · LATAM · mid
Director, Data Science – Credit Risk & AI
aqua finance · US · mid
Senior Machine Learning Engineer
bol · Worldwide · senior
Senior Data Engineer
Assent · Worldwide · senior