Data Scientist Associate

We have an exciting opportunity for you to enhance your career in Data & Analytics and drive impactful analytics and influence product roadmap initiatives..

As a Data Scientist within the Auto Finance Data & Analytics team, you will leverage advance analytics and AI/ML to support product teams, build analytical solutions, guide strategic business decisions, and enable growth initiatives. You will partner closely with Product, Technology, Design, Risk, and other cross-functional teams to translate complex business questions into analytical and AI/ML solutions. The ideal candidate is a hands-on analytics practitioner who combines strong technical skills, business judgment, intellectual curiosity, and a passion for applying modern analytics and technology to deliver business outcomes.

Job responsibilities

• Conduct deep-dive analyses to generate actionable insights and recommendations, using data-driven storytelling to demonstrate value and influence product roadmap initiatives.

• Identify business problems and opportunities where AI/LLM-based solutions can create value design and develop end2end solutions that improve decision-making, enhance customer experiences, and drive measurable business outcomes.

• Collaborate with cross-functional PXT teams, including Product, Design, and Engineering, to inform product development.

• Serve as an analytics subject-matter expert by formulating problem statements, sizing opportunities, and defining success metrics.

Required qualifications, capabilities, and skills

• Bachelor's degree in statistics, economics, mathematics, or engineering with 4+ years of experience in AI/ML or data science.

• Advanced Python, data structures, and algorithms

• Experience in building Conversational AI applications and in orchestrating AI/ML services for building a complete solution

• Curiosity and demonstrated initiative in learning and applying AI/LLM technologies to business problems and projects.

• Strong critical thinking and analytical skills, with attention to detail.

• Excellent written and verbal communication skills

• Ability to multitask, prioritize effectively, and demonstrate strong organizational and problem-solving skills.

• Strong skills in designing, developing, and operationalizing data products.

Preferred qualifications, capabilities, and skills

• Hands-on experience building Agentic AI/LLM solutions.

• Familiarity with Github CoPilot or similar tools.

• Prior exposure to marketing, competitive intelligence, or strategic analytics

• Highly organized, intellectually curious, and able to manage multiple priorities effectively.