Data Scientist Lead

Role Overview

As a key member of the Data Science team, the data scientist will deploy data-driven exploratory analysis as well as predictive models and AI solutions to solve business problems across the financial services industry.

What You Will Do

Lead the design, development, validation, deployment, and monitoring of advanced analytics, machine learning, and AI solutions that drive measurable business outcomes.

Why It Might Be a Fit

Strong analytical thinking and problem-solving skills; ability to translate ambiguous business problems into rigorous analytical frameworks.

Requirements

• Master’s degree or higher in Mathematics, Computer Science, Engineering, Operations Research, Statistics, or a related quantitative discipline.
• 5+ years of experience developing and deploying end-to-end machine learning, predictive analytics, and data science solutions within the Payments, Banking, or Financial Services industry.
• Strong proficiency in Python and SQL; experience with big data technologies such as Spark, PySpark, a plus.
• Hands-on experience with data wrangling, feature engineering, and model development using libraries such as Pandas, NumPy, Scikit-learn, Matplotlib, Seaborn, or Plotly.
• Demonstrated experience building and deploying machine learning models in a production or near-production environment.
• Proficiency with data visualization and business intelligence tools (e.g., Tableau or equivalent).

Benefits

• Competitive salary
• Benefits