Data Scientist

Scapia! A co-branded credit card that's out there to make travel happen for people, by converting their everyday expenses into travel experiences. We're a bunch of passionate people who work together, brainstorm and debate with each other, and don't stop until we're but proud of our work. Customer delight tops everything else! We've worked hard to create an environment of honesty and passion that sets everyone up for success.

About the Role:

We're looking for a hands-on and curious DS/AI professional who's eager to learn, build, and apply data-driven solutions. This role combines analytical problem-solving, machine learning, and exposure to GenAI tools to support strategic and operational initiatives across the organization.

Responsibilities:

- Conduct data analysis, create reports, and automate insights using SQL, Python, and Excel.

-Build, train, and support ML/AI models for prediction, optimization, and classification.

- Contribute to data modeling, cleaning, and transformation workflows.

- Collaborate with cross-functional teams to identify and execute analytics use cases.

- Explore and prototype GenAI solutions that can improve customer experience, content generation, and internal productivity.

- Work with engineering and data teams on data pipeline tasks and version control using Git.

- Continuously learn and adopt new tools, frameworks, and techniques in AI and data science.

Requirements:

- 4-7 years of experience in analytics or data science related fields.

- Proficiency in SQL, Python, and Excel.

- Practical exposure to ML/AI techniques and frameworks

-Basic understanding of data modeling and pipeline tools

- Hands-on experience in GenAI use cases

- Strong analytical mindset, attention to detail, and eagerness to learn