Job Description

Who We Are  

At 2OS , we’re more than just a niche consulting firm—we’re a close-knit team of skillful data scientists and business analyst experts passionate about solving complex problems in the credit and risk space. From innovative fintechs to top banks all over the world, we partner with clients to deliver data-driven solutions that create real impact. Our mission is straightforward: help our clients win, while enjoying the journey. 

What You’ll Do  

As a full-time data scientist at 2OS, you’ll play a key role on project teams that tackle real-world challenges for top-tier financial institutions and fast-growing fintechs. Using a mix of advanced analytics, machine learning, and business strategy, you’ll transform messy, complex data into clear, actionable insights. 

Whether you're developing custom algorithms, building end-to-end machine learning pipelines, or helping clients make more informed credit decisions, your work will drive measurable results. You’ll collaborate closely with other talented data scientists and business analysts, blending technical skills with creative problem-solving and business acumen. And importantly, you'll learn how to communicate your findings clearly and persuasively to both technical and non-technical audiences. For more information on 2OS, please visit our website at . 

Salary: $108,000 (Bachelor’s) / $122,000 (Master’s) 

Basic Qualifications

• We’d love to hear from you if: 
• You’re on track to graduate in Spring/Summer 2026 . 
• You’re pursuing an undergraduate or graduate degree in a quantitative field such as data science, mathematics, statistics, engineering, or a related discipline. 
• You have a strong foundation in statistical concepts and a working knowledge of machine learning techniques. 
• You have experience working with real-world data , whether through coursework, research, or internships, and can extract meaningful insights from messy datasets. 
• You enjoy solving business problems just as much as building models and always seek to understand the "why" behind the data. 
• You're proficient in Python (or R, though we prefer Python), and can efficiently code, analyze, and visualize data. 

Preferred Qualifications (Bonus Points)  

• While not required, the following will make your application stand out: 
• Prior experience in fast-paced, analytics-driven environments , such as internships, research, or intensive coursework. 
• Confidence in building models from the ground up , rather than relying solely on existing templates or notebooks. 
• Strong communication skills , with the ability to translate technical findings into business-relevant insights for diverse audiences. 

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