Senior Data Scientist: AI & ML Leader

FIS; Jacksonville (TX); On-site; USD 120,000 - 180,000; Full time

Job summary

FIS is actively seeking a data scientist to deploy data-driven analyses and predictive models across Risk, Fraud, Marketing, and Portfolio Management within the financial services domain.

The role focuses on transforming ML results into actionable product recommendations, building end-to-end analytics, and delivering insights to internal and external stakeholders. A strong background in Python, SQL, and BI tools will be essential.

Qualifications

• Master’s degree or higher in Mathematics, Computer Science, Engineering, Operations Research, Statistics, or related quantitative discipline.
• 5+ years of experience developing and deploying end-to-end machine learning, predictive analytics, and data science solutions within Payments, Banking, or Financial Services.
• Strong proficiency in Python and SQL; experience with big data technologies such as Spark or PySpark.
• Hands-on data wrangling, feature engineering, and model development using Pandas, NumPy, Scikit-learn, Matplotlib, Seaborn, or Plotly.
• Experience deploying machine learning models in production or near-production environments.
• Proficiency with data visualization and business intelligence tools (Tableau or equivalent).
• Strong analytical thinking and problem-solving; ability to translate ambiguous business problems into rigorous analytical frameworks.
• Ability to work collaboratively across product, engineering, and business teams.

Responsibilities

• Lead the design, development, validation, deployment, and monitoring of advanced analytics, machine learning, and AI solutions that drive measurable business outcomes.
• Analyze and prepare data for modeling, assembling datasets from standard and novel sources into end-to-end analytical solutions.
• Apply ML, predictive analytics, NLP, and emerging AI techniques to solve problems across payments and financial services.
• Design and execute experiments, hypothesis testing frameworks, and statistical analyses to evaluate strategies and improvements.
• Establish and promote best practices in data science, ML, feature engineering, experimentation, model governance, and MLOps.
• Communicate complex analytical findings through storytelling, dashboards, and executive-ready presentations.
• Stay current on industry trends in ML/AI and financial services analytics; bring innovations to the team.

Skills

Python

SQL

Data wrangling

Feature engineering

Model deployment

Data visualization

Analytical thinking

Education

Master’s degree or higher in Mathematics, Computer Science, Engineering, Operations Research, Statistics

Tools

Spark / PySpark

Pandas

NumPy

Scikit-learn

Matplotlib

Seaborn

Plotly

Tableau

Job description

FIS is actively seeking a data scientist to deploy data-driven analyses and predictive models across Risk, Fraud, Marketing, and Portfolio Management within the financial services domain.

The role focuses on transforming ML results into actionable product recommendations, building end-to-end analytics, and delivering insights to internal and external stakeholders. A strong background in Python, SQL, and BI tools will be essential.