Data Scientist Associate

We have an exciting opportunity for you to enhance your career in Data & Analytics and d rive 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.