Senior Associate, Data Science AI Design
Listed on 2025-12-31
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IT/Tech
Data Scientist, Data Analyst
Senior Associate, Data Science AI Design
Country:
United States of America
Your Journey Starts Here:
Santander is a global leader and innovator in the financial services industry. We believe that our employees are our greatest asset. Our focus is on fostering an enriching journey that empowers you to explore diverse career opportunities while nurturing your personal growth. We are committed to creating an environment where continuous learning and development are prioritized, enabling you to thrive both professionally and personally.
Here, you will find ample opportunities to connect and collaborate with talented colleagues from around the world, sharing insights and driving innovation together. Join us at Santander, where you are supported by a culture of engagement and a commitment to your success.
An exciting journey awaits, if you are interested in exploring the possibilities We Want to Talk to You!
The Difference You MakeThe Sr Associate, Data Science – AI Design is a forward‑thinking AI design specialist ready to transform how financial services harness the power of Snowflake Cortex and other AI solutions. In this role, you will design human‑centered AI experiences that turn complex data and machine learning outputs into intuitive, trustworthy tools for customers, analysts, and decision‑makers. You’ll work at the intersection of design, data, and AI, crafting solutions that drive financial innovation while ensuring clarity, transparency, and regulatory compliance as we transition to being a digital bank with branches.
Aboutthe job
Who We Are
The new AI Design team sits in the Data Science group within Retail Banking Transformation Analytics – we are focused on applying science (from fine‑tuned linear models through to machine learning and AI) to our petabytes of data to uncover insights about our customers and their financial behaviors, assess risk and opportunities, drive scalable growth, surprise and delight our customers with bespoke experiences in branch and online, and improve the digital banking experience.
We work with key business leaders and decision makers to refine and solve problems by mining, analyzing, and modeling data to provide insights that drive change. The day‑to‑day includes exploratory analysis to understand data structures and relationships, working closely with our business partners to build insight into new problems, research to refine a methodology, cranking out lightning‑fast machine learning code to create a model that predicts trends and automates validation, collaborating with cross‑functional teams, or visualizing and sharing their results with executives.
Our work as innovators means that we are approaching new problems on novel (and potentially unstable) data and there is no playbook for best practice; instead, we rely on our understanding of applied statistics and incrementality, alongside industry knowledge of trends in customer channel behavior and a toolbox of machine learning approaches/algorithms to resolve the tension between complexity, scope, and explainability.
The ideal data scientist in our squad is comfortable working with a variety of partners (business verticals, IT, data engineering, risk…etc.) and data (structured, unstructured, streaming) in a shared code repository utilizing multiple programming languages and frameworks to deliver state‑of‑the‑art frameworks, analytics and models in an agile environment.
We are from a range of backgrounds – mathematicians, statisticians, economists, engineers, computer scientists, physicists, financiers, and of course data scientists – but we are all skilled in research methods, and are obsessed with our customers, financial projections, data science, research, AI, programming, clean and powerful data visualizations to communicate our ideas, and collaborating to find the best approach to emerging questions.
WhoYou Are
You:
- You are passionate about providing AI as a product. You design with quality, discoverability, and reusability in mind, anticipating evolving needs when architecting pipelines to create versioned, well‑documented and accessible tools for a range of consumers.
- You are an AI‑enabled collaborator…
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