Data Scientist-AI/ML

Role Overview

A Data Scientist-AI/ML is needed to design and deliver end-to-end analytics solutions that combine data science, advanced analytics, and business intelligence for a top financial client.

What You Will Do

Apply statistical analysis, machine learning, and data-driven experimentation to address complex business challenges, and translate insights into scalable dashboards, reporting solutions, and decision-support tools.

Why It Might Be a Fit

The successful candidate will partner with stakeholders to define analytical requirements and develop data-driven decision frameworks, and will have a strong risk awareness and ability to challenge the status quo.

Requirements

• Five to seven years of relevant experience in data analytics, data science, business intelligence, or a related field.
• Proficiency in Python, including Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch, and PySpark.
• Strong SQL skills, including the ability to write complex queries, stored procedures, and data extraction processes.
• Experience with cloud-based data and artificial intelligence or machine learning platforms such as Azure, AWS, or GCP.
• Experience deploying and managing analytical or machine learning models in production environments.
• Proficiency in Power BI for developing impactful visualizations, dashboards, and reporting solutions.
• Undergraduate or advanced technical degree in mathematics, physics, engineering, finance, computer science, or a related discipline is preferred.