Data Scientist Intern

Concord Advice; Florham Park (NJ); On-site; USD 50,000 - 70,000; Full time

Job summary

Concord Advice, a dynamic fintech company based in Florham Park, NJ, seeks a Data Scientist Intern to tackle complex problems in an unstructured environment. Applicants should have a BA/MS in business related fields with a focus on machine learning and experience with Azure services.

The role involves collaborating with various teams to design models, enhance automation, and contribute to data strategy. Ideal candidates are self-motivated and possess strong analytical and communication skills.

Qualifications

• Experience with Azure services to support data science and machine learning.
• Familiarity with AI application patterns and automation.
• Strong communication skills with stakeholders.

Responsibilities

• Work in an unstructured environment to analyze complex problems.
• Collaborate with teams to design models and conduct research.
• Enhance automation in machine learning and business operations.

Skills

Machine learning

Azure cloud platform

Statistical Python/R Packages

Communication skills

Automation

Education

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

Tools

Azure services

Job description

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.
• Familiarity with Azure cloud platform and experience using Azure services to support data science, machine learning, analytics, and production‑oriented workflows.
• Working knowledge of modern AI application patterns, including retrieval‑augmented generation (RAG) and AI‑assisted automation.
• Outstanding communication skills (both technical and non‑technical) and proven ability to work effectively with multiple stakeholders across a variety of business units.
• Facile with using various machine learning and statistical Python/R Packages, along with database and reporting tool.
• Familiar with foundational concepts of various advanced ML algorithms.
• 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.