Data Scientist Intern

Summary

Concord Advice is a dynamic fintech company headquartered in the NYC area, specializing in delivering cutting-edge analytical and technical solutions for financial organizations. We design and implement innovative technology solutions, including CRM platforms, underwriting engines, auction-based online lead bidding systems, omni-channel customer engagement strategies, payment technologies, and bank integration services.

Our strategic investments in cloud infrastructure and MLOps pipelines enable us to leverage state-of-the-art language AI—from large-language-model (LLM) agents and retrieval-augmented generation to proven NLP capabilities such as named-entity recognition, intent detection, and sentiment analysis—to create intelligent, real-time, and automated customer experiences.

As a fast-growing, entrepreneurial, and collaborative firm, Concord Advice provides an immersive, hands-on environment where innovation meets business impact. Our team thrives in a dynamic, unstructured setting that demands creativity, analytical thinking, and cross-functional collaboration. If you’re a problem-solver who embraces ambiguity and enjoys tackling challenges, join us in shaping the future of fintech!

Key Qualifications

• BA/MS in business related fields with a focus on machine learning.

• Demonstration of quantitative aptitude in mathematics, statistics or computer science.

• Facile with using various machine learning and statistical Python/R Packages, along with database and reporting tool.

• Familiar with foundational concepts of varies advanced ML algorithms.

• Outstanding communication skills (both technical and non-technical) and proven ability to work effectively with multiple stakeholders across a variety of business units.

• Self-motivated, vocal, and proactive, with demonstrated creative and critical thinking capabilities.

Job Description

As a Data Scientist Intern at Concord Advice, you will:

• Thrive in an unstructured environment and enjoy tackling complex, ambiguous problems. Have a consultative mindset to break down challenges into root

causes, develop structured analysis plans, and identify the necessary data to drive insights.

• Collaborate as a member of the analytic team, with senior management and IT team to design models, perform data mining, and conduct statistical research.

• Enhance automation in machine learning, programming, and business operations.

• Build, test, and monitor various machine learning models.

• Work with Azure cloud computing and MLOps pipeline to create end-to-end automated machine learning.

• Identify opportunities in data to drive company strategy, products, and solutions.

• Participate in the development of data infrastructure, data governance, and various business intelligence tools and products