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- Tasks: Transform fintech with AI-driven solutions and predictive models to boost sales performance.
- Company: Join FIS, a leader in financial technology innovation and inclusivity.
- Benefits: Competitive salary, professional development, and a diverse team atmosphere.
- Why this job: Make a real impact in fintech while growing your data science career.
- Qualifications: Bachelor's degree in relevant field; experience in data science or analytics preferred.
- Other info: Collaborate with industry experts and work on cutting-edge AI technologies.
The predicted salary is between 50000 - 70000 ÂŁ per year.
At FIS, our technology and our people are moving forward. We advance the way the world pays, banks and invests. We believe in building inclusive, diverse teams. Together, we innovate to help our colleagues, clients and communities succeed. If you’re ready to grow your career and make an impact in fintech, we have one question: Are you FIS?
About the role
Are you ready to be at the forefront of reshaping how financial technology drives global commerce? At FIS, we’re looking for an innovative Data Scientist to join our Revenue Operations, Office of the CCO team, accelerating our growth by ideating, building, deploying, and scaling AI to transform sales performance and efficiency. In this highly visible role, your innovations will set new benchmarks across the fintech industry, with direct impact on how FIS sells and how our clients experience financial technology.
You’ll partner closely with Sales and Business stakeholders to provide actionable insights and develop AI-driven solutions that propel revenue growth—delivering models for lead prioritization, churn prediction, and cross-sell opportunities, and pioneering work in Generative and Agentic AI (e.g., personalized email generation, account intelligence agents, lead nurture agents). You are empowered to take ownership from ideation through to deployment, and trusted to drive initiatives that redefine sales excellence within one of the world’s largest fintech businesses.
FIS is committed to your professional development and career growth. In this role, you’ll collaborate with industry-leading experts, gain exposure to the latest emerging technologies, and learn at the cutting edge of AI and advanced analytics. This is an ideal opportunity for someone early in their data science career who is passionate about solving real-world business challenges and eager to learn and grow in an environment that values initiative and innovation. We’re seeking a proactive self-starter who thrives amidst multiple cross‑functional stakeholders and varying priorities. If you’re excited by the challenge of digging deep to uncover the “why,” building impactful solutions, and driving success across the global fintech landscape, FIS invites you to make your mark here.
What you will be doing
- Applying expertise in machine learning and data mining to implement analytics solutions that enhance Sales performance
- Developing and deploy Agentic AI use cases (e.g., account intelligence agents, personalized outreach agents, lead nurture agents)
- Building predictive models to identify trends, optimize lead prioritization, and measure performance of Sales initiatives
- Conducting advanced statistical analysis and present findings as clear, actionable recommendations to Sales leaders
- Creating and maintaining interactive data visualizations (Power BI or equivalent) to communicate insights effectively
- Contributing to best practices in MLOps and cloud‑based deployment (Azure preferred)
- Preparing and presenting AI program outcomes and insights to business leadership and executive audiences
What you will need
- Bachelor’s degree in Computer Science, Statistics, Mathematics, Engineering, or a related field (required)
- Master’s or PhD in Data Science, Analytics, or related field (preferred)
- 7 years of experience in data science or analytics (internships, projects, or prior roles)
- Experience in financial services, banking, or FinTech is a plus
- Strong understanding of machine learning algorithms and practical applications
- Hands‑on experience with Agentic AI or Generative AI model development
- Proficiency in Python or R, and SQL for data manipulation and analysis
- Experience with cloud platforms (Azure preferred)
- Familiarity with MLOps pipelines for model automation and deployment
- Strong skills in data visualization (Power BI preferred) and Microsoft Office tools (Excel, PowerPoint and Outlook)
- Excellent problem‑solving and critical thinking skills
- Strong written and verbal communication, with ability to simplify complex results for business stakeholders
- Demonstrated ability to work in agile or fast‑paced environments
- Passion for innovation with a proactive, can‑do attitude
- Team player with the ability to influence and collaborate effectively
What we offer you
At FIS, we are as committed to growing our employees’ careers as our own business. We offer:
- Opportunities to innovate in fintech
- Inclusive and diverse team atmosphere
- Professional and personal development
- Resources to contribute to your community
- Competitive salary and benefits
Data Scientist (Artificial Intelligence / Machine Learning) employer: FIS
Contact Detail:
FIS Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist (Artificial Intelligence / Machine Learning)
✨Tip Number 1
Network like a pro! Reach out to people in the fintech space, especially those at FIS. Use LinkedIn to connect and engage with them. A friendly message can go a long way in getting your foot in the door.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data science projects, especially those involving AI and machine learning. Share it during interviews or even on your LinkedIn profile to grab attention.
✨Tip Number 3
Prepare for the interview by understanding FIS's products and services. Think about how your skills can directly impact their sales performance and efficiency. Tailor your examples to show you’re the perfect fit for their team.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re genuinely interested in being part of the FIS family.
We think you need these skills to ace Data Scientist (Artificial Intelligence / Machine Learning)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Scientist role. Highlight your experience with machine learning, data mining, and any relevant projects that showcase your skills in AI. We want to see how you can bring value to our team!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about fintech and how your background aligns with our mission at FIS. Let us know what excites you about the role and how you can contribute to our innovative culture.
Showcase Your Technical Skills: Don’t forget to highlight your technical skills, especially in Python, R, SQL, and any experience with cloud platforms like Azure. We’re looking for someone who can hit the ground running, so make sure we see your expertise front and centre!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us you’re serious about joining our team at FIS!
How to prepare for a job interview at FIS
✨Know Your Data Science Fundamentals
Brush up on your machine learning algorithms and data mining techniques. Be ready to discuss how you've applied these in real-world scenarios, especially in financial services or fintech. This will show that you not only understand the theory but can also implement it effectively.
✨Showcase Your AI Experience
Prepare to talk about any hands-on experience you have with Agentic AI or Generative AI model development. Bring examples of projects where you've built predictive models or developed AI-driven solutions, as this aligns perfectly with what FIS is looking for.
✨Visualise Your Insights
Since you'll be creating interactive data visualisations, practice presenting your findings clearly and concisely. Use tools like Power BI to demonstrate how you can communicate complex data insights effectively to stakeholders, which is crucial for this role.
✨Emphasise Collaboration Skills
FIS values teamwork, so be prepared to discuss how you've worked with cross-functional teams in the past. Highlight your ability to influence and collaborate effectively, as this will be key in driving initiatives and redefining sales excellence.