Job DescriptionAbout FIS Are you curious, motivated, and forward-thinking? At FIS you'll have the opportunity to work on some of the most challenging and relevant issues in financial services and technology.
Our talented people empower us, and we believe in being part of a team that is open, collaborative, entrepreneurial, passionate and above all fun.
About the teamOur Data Science team is a collaborative group of analytical problem-solvers who partner closely across products, business stakeholders, and technical functions to deliver data-driven insights and innovative solutions.
We work across a diverse suite of products and business intelligence initiatives, teaming with cross-functional partners in product, engineering, decision sciences, and client-facing groups to ensure our work aligns with business goals and drives meaningful outcomes.
Leveraging large and complex datasets, we apply advanced analytics, predictive modeling, machine learning, and AI to translate business challenges into scalable, data-science solutions that support strategic decision-making and deliver measurable value for both internal stakeholders and clients.
What you will be doingAssess, review, analyze, and interpret large, complex datasets to uncover product-level insights, quantify value, validate performance, and translate findings into actionable recommendations that help clients understand how to best leverage the data.
Design, develop, and refine predictive models and algorithms that enhance existing products and power new data-driven capabilities, ensuring scalability, reliability, and alignment with product strategy.
Communicate analytical results, model decisions, and advanced techniques to internal stakeholders (product, engineering, leadership) and external clients, translating technical concepts into clear, actionable narratives that support product adoption and business outcomes.
Lead, mentor, and coach team members, shaping modeling best practices, elevating technical quality, and guiding less-experienced staff through complex analytical and product-development work.
Influence product roadmap and strategy by connecting analytical evidence to product opportunities, championing data-driven decisions, and partnering with client-facing teams to understand needs and shape future capabilities.
Work hands-on across multiple systems and platforms to lead analytical workflows, uphold rigorous data-quality standards, and apply strong statistical methodologies that ensure reliable, scalable product insights. (Snowflake, Unix/Linux, AWS, SQL, Python/R, Tableau, Power BI, & SAS)
What you bring- 5+ years of hands-on data science experience.
- Strong command of modern data science tools and languages. (SQL, Python/R, Snowflake, AWS, Tableau, & Power BI)
- Strong track record of delivering analytical and modeling solutions that support product strategy and client outcomes.
- Deep proficiency in data mining, statistics, predictive modeling, and programming.
- Ability to translate complex technical work into scalable, business-aligned solutions.
- Ability to interpret large complex datasets and transform them into actionable insights.
- Ability to explain advanced analytical methods and results to technical and non-technical audiences.
- Leadership mindset with experience mentoring, influencing cross-functional partners, and contributing to high-quality data-driven product development.
Bonus if you have- Experience with SAS for teams or products that integrate legacy analytical workflows or require cross-platform model support.
What we offer you- A multifaceted job with a high degree of responsibility and a broad spectrum of opportunities.
- A competitive salary and benefits.
- A variety of career development tools, resources and opportunities.
- The chance to work on some of the most challenging, relevant issues in financial services & technology.
Privacy StatementFIS is committed to protecting the privacy and security of all personal information that we process in order to provide services to our clients. For specific information on how FIS protects personal information online, please see the Online Privacy Notice.
EEOC StatementFIS is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, marital status, genetic information, national origin, disability, veteran status, and other protected characteristics. The EEO is the Law poster is available here supplement document available here
For positions located in the US, the following conditions apply. If you are made a conditional offer of employment, you will be required to undergo a drug test. ADA Disclaimer: In developing this job description care was taken to include all competencies needed to successfully perform in this position. However, for Americans with Disabilities Act (ADA) purposes, the essential functions of the job may or may not have been described for purposes of ADA reasonable accommodation. All reasonable accommodation requests will be reviewed and evaluated on a case-by-case basis.
Sourcing ModelRecruitment 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
Never miss an opportunity! Create an alert based on the job you applied for.
