Data Analyst – Co-Op

Jobtailor; Massachusetts; On-site; USD 28,000 - 41,000; Full time

Job summary

Jobtailor in Massachusetts is offering an internship focused on building and refining ML models for recommendations and financial insights. You’ll work with data scientists, ML engineers, and financial planning experts to analyze performance and drive strategy.

The role emphasizes curiosity about wealth planning, strong Python and SQL skills, and exposure to AI/LLM concepts. A student in CS/DS/FinTech is ideal for this opportunity in the Financial Services sector.

Qualifications

• Currently pursuing an undergraduate or graduate degree.
• Focus in CS, Data Science, Statistics, Applied Math, FinTech or related field.
• Strong Python skills with Pandas/NumPy/Scikit-learn.

Responsibilities

• Build, refine, and evaluate ML models for recommendations and financial insights.
• Support development of agentic AI systems that identify customer financial opportunities.
• Run experiments, conduct model diagnostics, and analyze performance.
• Collaborate with data scientists, ML engineers, and financial planning specialists.
• Work across diverse data sources to uncover patterns and drive strategic decisions.
• Translate data into insights that drive business decisions.
• Help teams create the best customer experiences in the Financial Services industry.

Skills

Python Programming

Machine Learning Concepts

SQL Experience

Problem-Solving

Curiosity about Finance/Wealth

Education

Undergraduate or Graduate student

CS, Data Science, Statistics, Applied Math, FinTech

Tools

Pandas

NumPy

Scikit-learn

Job description

• Build, refine, and evaluate ML models for recommendations and financial insights
• Support development of agentic AI systems that identify customer financial opportunities
• Run experiments, conduct model diagnostics, and analyze performance
• Collaborate with data scientists, ML engineers, and financial planning specialists
• Work across diverse data sources to uncover patterns and drive strategic decisions
• Translate data into insights that drive business decisions
• Help teams create the best customer experiences in the Financial Services industry

Requirements

• Current undergraduate or graduate student
• Pursuing a degree in CS, Data Science, Statistics, Applied Math, Finance/FinTech, or similar
• Strong Python skills (pandas, NumPy, scikit-learn)
• Solid understanding of core ML concepts
• Curiosity about financial planning and wealth management
• Experience with classical AI/ML and LLM prompt engineering (preferred)
• Exposure to agentic AI or reasoning frameworks (preferred)
• SQL and large dataset experience (preferred)
• Strong communication and problem-solving skills (preferred)
• Certain criminal histories may restrict hiring or association due to applicable financial laws and regulations

Core Competencies

Demonstrates strong capabilities in building and evaluating machine learning models, particularly in the context of financial insights and customer opportunities. Proficient in Python and SQL, with a solid understanding of core ML concepts and a curiosity for financial planning.

Highest-signal resume keywords

• Python Programming
• Machine Learning Concepts
• SQL Experience
• Financial Planning Knowledge
• Problem-Solving Skills

ATS Optimization Keywords

Hard Skills

• Python
• Pandas
• NumPy
• Scikit-learn
• Machine Learning
• AI/ML Engineering
• LLM Prompt Engineering
• Data Analysis
• Model Diagnostics
• Large Dataset Management

Soft Skills

• Strong Communication
• Curiosity
• Problem-Solving

Industry Keywords

• Financial Services
• Agentic AI
• Wealth Management
• Data Science
• Statistics
• Applied Math
• FinTech