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Freelance Python Data Analysis Jobs in Massachusetts

MIT Lincoln Laboratory

Data Analyst

Lexington, MA · On-site

... MATLAB, Python, or Julia to create quantitative analysis products and assist project leads in ... Experience with common data analytics and/or modeling techniques (e.g., clustering, time-series ...

MIT Lincoln Laboratory

Data Analyst

Lexington, MA

... MATLAB, Python, or Julia to create quantitative analysis products and assist project leads in ... Experience with common data analytics and/or modeling techniques (e.g., clustering, time-series ...

MIT Lincoln Laboratory

Data Analyst

Lexington, MA

... MATLAB, Python, or Julia to create quantitative analysis products and assist project leads in ... Experience with common data analytics and/or modeling techniques (e.g., clustering, time-series ...

Bracebridge Capital

Machine Learning Analyst

Boston, MA · On-site

$110K - $145K/yr

... data analysis, or machine learning * Proficiency in Python and familiarity with the Python data science stack (NumPy, SciPy, Pandas, scikit-learn, etc), with experience in other languages a plus

Dlapiper

Sr Data Analyst

Boston, MA · Hybrid

$93K - $117K/yr

Key skills include proficiency in SQL, Python, DAX, advanced data analysis, and strong presentation skills. The role also involves fostering collaboration, driving continuous improvement ...

New

Massgeneralbrigham

HDS Senior Data Analyst

Somerville, MA

$93K - $118K/yr

Uses programmatic tools such as Python or R to support data QA and exploratory analysis. This includes identifying missing data, detecting outliers, and assessing whether anomalies reflect true ...

Pwc

AIT - AI Data Scientist Manager

Boston, MA

$99K - $297K/yr

... analysis, machine learning, data preparation, experimentation, and model evaluation techniques to develop and validate AI/ML solutions - Utilizing Python, data science libraries, model validation ...

MORSE Corp

Data Scientist

Cambridge, MA · On-site

Responsibilities : • Perform data analysis, test and evaluation of existing machine learning ... Python, C, C++, Java, or MATLAB. • Work with customers, stakeholders, and other vendors to ...

Mass General Brigham

HDS Senior Data Analyst

Somerville, MA · On-site

$93K - $118K/yr

Uses programmatic tools such as Python or R to support data QA and exploratory analysis. This includes identifying missing data, detecting outliers, and assessing whether anomalies reflect true ...

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Freelance Python Data Analysis information

What is freelance Python data analysis?

Freelance Python data analysis involves using the Python programming language to analyze and interpret data for clients on a project or contract basis. Freelancers in this field typically work with datasets to extract insights, visualize results, and help businesses make data-driven decisions. They often use libraries such as pandas, NumPy, and matplotlib, and may work across industries like finance, marketing, healthcare, and technology. Freelancers enjoy flexibility in choosing their projects and clients, and often work remotely.

What are the key skills and qualifications needed to thrive as a freelance Python data analyst?

To thrive as a Freelance Python Data Analyst, you need strong analytical skills, proficiency in Python programming, and a solid understanding of statistics and data manipulation, often backed by a relevant degree or proven portfolio. Experience with tools such as Pandas, NumPy, Jupyter Notebooks, and data visualization libraries like Matplotlib or Seaborn is typically required. Excellent problem-solving abilities, communication skills, and the ability to manage projects independently distinguish top performers in this role. These skills enable analysts to deliver actionable insights, meet client expectations, and maintain a successful freelance business.

What freelance jobs can I do with Python?

Freelance Python data analysts can find jobs in data cleaning, visualization, statistical analysis, and machine learning projects. They often work with tools like Pandas, NumPy, and Jupyter Notebooks, and may need to have skills in SQL and data storytelling. These roles typically require strong programming skills and the ability to interpret complex data for clients.

What are some common challenges freelance Python data analysts face when working with clients remotely?

Freelance Python data analysts often encounter challenges such as clarifying project requirements, managing client expectations about deliverables, and ensuring timely communication across different time zones. Working remotely can also mean troubleshooting data access or security issues, especially if clients have strict data privacy policies. Building trust through regular updates and transparent reporting is key to successful collaborations in this role.
What are the most commonly searched types of Python Data Analysis jobs in Massachusetts? The most popular types of Python Data Analysis jobs in Massachusetts are:
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Freelance Python Data Analysis jobs near you

Ph.D. Graduate Intern - Quantitative Portfolio Risk Analytics

Risk Analytics Company

Cambridge, MA • On-site

Full-time

Re-posted 2 days ago

Job description

Ph.D. Graduate Intern – Quantitative Portfolio Risk Analytics (Cross-Disciplinary)

Position Overview
We are seeking an exceptional Ph.D. graduate student to join our team as a Quantitative Portfolio Risk Analytics Intern. This role focuses on developing and applying advanced analytical methods to understand portfolio risk, market structure, and complex financial systems.
We are intentionally recruiting from cross-disciplinary, research-driven backgrounds. Doctoral candidates from fields such as physics, astrophysics, math, applied mathematics, statistics, engineering, economics, computer science, quantum computing, biotech, and other data-intensive sciences are strongly encouraged to apply—especially those interested in translating rigorous quantitative methods into real-world financial applications.
Key Responsibilities
  • Develop and enhance quantitative models for portfolio risk, including factor-based and statistical approaches 
  • Analyze large, high-dimensional financial datasets to uncover structure, dependencies, and sources of risk 
  • Design and implement analytical tools and pipelines using Python and SQL 
  • Contribute to model validation, backtesting, and performance evaluation 
  • Collaborate with risk, engineering, and data teams to improve model scalability and data infrastructure 
  • Communicate complex quantitative insights through clear visualizations and technical summaries 
  • Apply advanced methodologies from your discipline (e.g., stochastic modeling, optimization, machine learning, or geometric/topological approaches) to improve risk analytics 
Required Qualifications
  • Currently enrolled in a graduate Ph.D. program in a highly quantitative field (e.g., Math, Applied Mathematics, Physics, Astrophysics, Statistics, Computer Science, Engineering, Financial Engineering, Economics, Biotech or other data-driven disciplines) 
  • Strong foundation in probability, statistics, and numerical methods 
  • Proficiency in Python (NumPy, pandas, or similar) and/or SQL 
  • Experience working with large datasets and implementing quantitative models 
  • Ability to think rigorously about complex systems and translate theory into practical solutions 
Preferred Qualifications
  • Familiarity with quantitative finance concepts (e.g., portfolio theory, factor models, volatility modeling, Value-at-Risk) 
  • Experience with scientific computing, optimization, or machine learning 
  • Background or research in cross-disciplinary areas such as: 
    • Statistical physics, complex systems, or network theory 
    • Applied or computational mathematics 
    • Machine learning or probabilistic modeling 
    • Quantum computing or advanced optimization techniques 
    • Topological data analysis or geometric data methods 
  • Prior research, publications, or project work demonstrating advanced quantitative modeling 
What You’ll Gain
  • Exposure to real-world portfolio risk problems at the intersection of finance and advanced analytics 
  • Opportunity to apply cutting-edge academic methods in a production environment 
  • Collaboration with a highly quantitative, cross-disciplinary team 
  • Experience working with large-scale financial data and modern analytics infrastructure 
  • Mentorship and potential pathway to full-time quantitative roles 
Duration & Compensation
  • Internship: Summer 2026, with potential to extend 
  • Paid internship (competitive, based on experience and location)