FIS

Data Scientist Lead

FIS • $120K — $145K *
Milwaukee, WI 53215In-Person
Finance & Insurance
5 - 7 years of experience
Today
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Job Overview by Ladders

Qualifications

  • Master's degree or higher in a quantitative discipline such as Mathematics, Computer Science, or Statistics.
  • 5+ years of experience in end-to-end machine learning within the financial services sector.
  • Proficiency in Python and SQL; familiarity with big data tools like Spark is advantageous.
  • Hands-on experience with data manipulation and model development using libraries like Pandas and Scikit-learn.
  • Demonstrated ability to deploy machine learning models in production environments.
  • Experience with data visualization tools like Tableau or equivalent.
  • Strong analytical skills with a collaborative approach to solving business problems.

Responsibilities

  • Lead the development and deployment of advanced machine learning and AI solutions.
  • Leverage data structures and algorithms to prepare and analyze data for modeling.
  • Apply advanced analytics and emerging AI techniques to tackle complex financial problems.
  • Design and execute statistical experiments and hypothesis testing frameworks.
  • Promote best practices in data science and machine learning throughout the organization.
  • Effectively communicate analytical findings through presentations and dashboards.
  • Stay informed on industry trends and innovations in machine learning and AI.

Benefits

  • A voice in shaping the future of fintech.
  • Commitment to ongoing learning and professional development.
  • Collaborative and supportive work culture.
  • Opportunities to contribute to community and charitable initiatives.
Full Job Description
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:
  • Lead 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.
  • Communicate complex analytical findings through compelling storytelling, executive-ready presentations, dashboards, visualizations and self-service analytics tools. that drive informed decision-making.
  • 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.
  • 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).
  • 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.
  • Working 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


Sourcing Model

Recruitment at FIS works primarily on a direct sourcing model; a relatively small portion of our hiring is through recruitment agencies. FIS does not accept resumes from recruitment agencies which are not on the preferred supplier list and is not responsible for any related fees for resumes submitted to job postings, our employees, or any other part of our company.

#pridepass

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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