Engineer Lead, Artificial Intelligence / Machine Learning ( Data Scientist)

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 team 

The Client OFfice AI/ML CoE team is a horizontal CoE for Client Office that is helping us drive revenue and bring significant savings to our businesses by identifying, exploring, and implementing AI/ML solutions.

The Client Office is one of the three verticals in FIS. It has various products and solutions in funds management, cleared derivatives, commercial lending, corporate treasury, insurance risk electronic trading, RegTech, wealth and retirement etc.

The team consists of highly motivated solution architects, data scientists and ML engineers.

What you will be doing 

As a Data Scientist, you will be working on developing cutting-edge Gen AI and Agentic solutions across the organization.

 What you bring: 

Knowledge / Experience

• 10+ years of overall experience with 4+ years on AI/Gen AI/Agentic AI
• Strong experience in statistical analysis, experimentation, and data‑driven problem solving
• Designing and developing end‑to‑end ML models — from data exploration to production deployment
• Hands‑on experience building:
  • Predictive models
  • Classification and regression models
  • Clustering & segmentation
  • Time‑series forecasting
  • Optimization models
• Expertise in feature engineering, data preprocessing, and handling large, messy, real‑world datasets
• Experience with ML lifecycle: model training, validation, evaluation, monitoring, and retraining
• Ability to work with big data ecosystems (Spark, Hadoop, Databricks, EMR, or similar)
• Experience operationalizing ML using REST APIs, batch jobs, or cloud AI/ML services
• Understanding of MLOps concepts (CI/CD for ML, model versioning, model drift, monitoring)
• Experience working in cloud environments (AWS, GCP, Azure)

Skills

• Strong proficiency in Python, including scientific and ML libraries:
  • pandas
  • NumPy
  • scikit‑learn
  • TensorFlow / PyTorch
  • Statsmodels
• Strong understanding of statistics, probability, hypothesis testing, and experiment design (A/B tests)
• Hands‑on experience with SQL and working with relational & NoSQL databases
• Ability to translate ambiguous business problems into clear analytical solutions
• Strong data visualization skills using:
  • Matplotlib / Seaborn
  • Plotly
  • Power BI / Tableau (optional)
• Experience building reusable analytical pipelines and automation frameworks
• Understanding of feature stores, data pipelines, and production ML patterns
• Ability to communicate insights clearly to business and technical team.

Nice to Have

• Experience with LLM‑based analytics, embeddings, or GenAI for data workflows
• Familiarity with AutoML platforms (H2O, DataRobot, SageMaker Autopilot, Vertex AI, etc.)
• Exposure to Graph ML, NLP, or Computer Vision
• Knowledge of Reinforcement Learning or causal inference
• Strong domain knowledge in BFSI, risk modeling, fraud detection, or customer analytics (if applicable)

Qualifications

Bachelor’s degree in engineering or related field or the equivalent combination of education, training, or work experience

Competencies

• Fluent in English
• Excellent communicator – ability to discuss technical and commercial solutions to internal and external parties and adapt depending on the technical or business focus of the discussion.
• Attention to detail – track record of authoring high quality documentation.
• Organized approach – manage and adapt priorities according to client and internal requirements.
• Self-starter but team mindset - work autonomously and as part of a global team

What we offer you 

• A multifaceted job with a high degree of responsibility and a broad spectrum of opportunities
• A broad range of professional education and personal development possibilities – FIS is your final career step!
• A competitive salary and benefits
• A variety of career development tools, resources and opportunities

With a 50-year history rooted in the financial services industry, FIS™ is the world's largest global provider dedicated to financial technology solutions.  We champion clients from banking to capital markets, retail to corporate and everything touched by financial services. Headquartered in Jacksonville, Florida, our 53,000 worldwide employees help serve more than 20,000 clients in over 130 countries. Our technology powers billions of transactions annually that move over $9 trillion around the globe.  FIS is a Fortune 500 company and is a member of Standard & Poor’s 500® Index.

FIS 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 FIS Online Privacy Notice.

Privacy Statement

FIS 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.

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.

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