FIS

Data Scientist

FIS • $95K — $115K *
Atlanta, GA 30349In-Person
Finance & Insurance
Less than 5 years of experience
Today
Be an Early Applicant
Job Overview by Ladders

Qualifications

  • Master's degree or higher in Mathematics, Computer Science, Engineering, Operations Research, Statistics, or related quantitative discipline.
  • 1-3 years experience in machine learning and predictive analytics within Payments, Banking, or Financial Services.
  • Strong proficiency in Python and SQL; familiarity with big data tech like Spark and PySpark is a plus.
  • Hands-on with data wrangling and libraries (Pandas, NumPy, Scikit-learn).
  • Proven experience deploying machine learning models in production environments.
  • Proficient with data visualization and BI tools (e.g., Tableau).
  • Strong analytical and problem-solving skills, able to translate business issues into analytical frameworks.

Responsibilities

  • Design, develop, validate, deploy, and monitor data analytics and AI solutions.
  • Utilize expertise in data algorithms to prepare data for modeling and create analytical solutions.
  • Implement advanced machine learning and AI techniques to address business challenges in financial services.
  • Conduct experiments and statistical analyses to assess product and operational strategies.
  • Establish best practices in data science and machine learning across teams.
  • Keep abreast of trends in AI and financial analytics, integrating innovations into work.

Benefits

  • A voice in the future of fintech.
  • Continuous learning and development opportunities.
  • Collaborative work environment.
  • Opportunities to contribute to community initiatives.
Full Job Description
About the role:

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, particularly in Risk, Fraud, Marketing, and Portfolio Management. Following the machine learning lifecycle, the data scientist should be able to convert the results into actionable product recommendations to present internally and externally.

What you'll be doing:
  • Participate in the design, development, validation, deployment, and monitoring of advanced analytics, machine learning, and AI solutions that drive measurable business outcomes.
  • Leverage expertise in data structures and algorithms to analyze and prepare data for modeling, assembling datasets from both standard and novel data sources and incorporate them into end-to-end analytical solutions.
  • Apply advanced machine learning, predictive analytics, natural language processing (NLP), and emerging AI techniques (GenAI, Agentic etc.) to solve complex business problems across the payments and financial services ecosystem.
  • Design and execute experiments, hypothesis testing frameworks, and statistical analyses to evaluate business strategies, product enhancements, and operational improvements.
  • Establish and promote best practices in data science, machine learning, feature engineering, experimentation, model governance, and MLOps throughout the organization.
  • Stay current on industry trends in machine learning, AI, Generative AI, and financial services analytics; bring relevant innovations to the team.


What you bring:
  • Master's degree or higher in Mathematics, Computer Science, Engineering, Operations Research, Statistics, or a related quantitative discipline.
  • 1-3 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).
  • Strong analytical thinking and problem-solving skills; ability to translate ambiguous business problems into rigorous analytical frameworks.
  • Ability to work collaboratively across product, engineering, and business teams.


Nice to have:
  • Experience within the Payments, Banking, or Financial Services industry.
  • Hands-on experience with the Databricks platform, including MLflow, Model Registry, collaborative notebooks, and MLOps workflows.
  • Experience deploying cloud-native machine learning solutions, particularly within AWS environments.
  • Familiarity with emerging advancements in Transformer Models and Agentic AI technologies.
  • Knowledge of model governance, regulatory compliance, and MLOps best practices within regulated financial services environments.


What we offer you:

A career at FIS is more than just a job. It's the chance to shape the future of fintech. At FIS, we offer you:
  • A voice in the future of fintech
  • Always-on learning and development
  • Collaborative work environment
  • Opportunities to give back
  • Competitive salary and benefits

About FIS

Fidelity National Information Solutions is the nation’s most comprehensive source for real estate-related data, technology solutions.

FIS Careers

Join the vibrant team at FIS, a global leader in financial services technology. With a workforce of over 55,000 worldwide, FIS fosters a culture of innovation and leadership, offering unmatched opportunities for growth and professional development. Work You’ll Do At FIS, we empower the financial world with cutting-edge technology solutions, and we need your unique skills to help us redefine the future of finance. Whether you're looking for a position in software development, project management, or client services, FIS offers a dynamic range of job opportunities. Transform the Industry Be part of a team that is at the forefront of driving innovation in banking, payments, capital markets, and wealth management. FIS is where finance meets technology. By joining us, you will not only transform businesses but shape the way the world uses money. Innovative Work Environment FIS is committed to fostering a workplace where diverse perspectives and experiences are welcomed and respected. With diversity training and leadership programs, employees are encouraged to thrive both personally and professionally. Our commitment to diversity and inclusion is integral to our mission to empower the world with better financial technology. Career Growth and Development FIS believes in nurturing talent and leadership from within. With a plethora of training programs, workshops, and seminars, FIS is dedicated to your career advancement. From internships to leadership roles, your journey at FIS is filled with endless possibilities. Our robust networking events and professional development sessions ensure you have the tools to succeed in your career. Benefits and Culture Choosing a career at FIS means joining a family that values work-life balance and offers substantial benefits. Enjoy health, vision, and dental insurance, competitive retirement plans, and generous paid time off. Our culture promotes not just professional growth but personal well-being. Join Our Team Explore the numerous job opportunities at FIS where your skills can lead to meaningful outcomes. We are continuously hiring curious, creative, and motivated individuals who are ready to drive change in the fintech industry. Stay Connected Keep up to date with the latest in career opportunities and company news by joining our FIS Careers Network. Tailor your job search with personalized alerts and get insider tips that can help you craft the perfect resume and ace your interviews. Discover how your career can flourish by joining a team that’s dedicated to redefining the financial services landscape. Search FIS jobs today and see where your ambition can take you! [SEARCH FIS JOBS] Stay ahead with career tips, insider perspectives, and industry-leading insights you can put to use today—all from the people who work here. [READ CAREERS BLOG] Job Alert Emails Customize your subscription to receive job alerts, the latest news, and insider tips tailored to your preferences. Explore the exciting and rewarding opportunities that await at FIS.
Learn more about FIS
Size
65,000 employees
Market Cap
$39.7 billion
Industry
Finance & Insurance
Net Income
$158 million
Founded
1968
5 Year Trend
+9.5%
Revenue
$12.5 billion
NASDAQ
FIS
* Ladders Estimates

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