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Overnight Machine Learning Quant Jobs in Worcester, MA

National Grid

Lead Data Scientist

Northborough, MA · Hybrid

$153K - $180K/yr

Bachelor's degree in a quantitative discipline. * 7+ years of Data Science or related experience. * Machine Learning expertise. * Python. * SQL. * Cloud Computing. * Database management experience.

National Grid

Lead Data Scientist

Waltham, MA · Hybrid

$153K - $180K/yr

Bachelor's degree in a quantitative discipline. * 7+ years of Data Science or related experience. * Machine Learning expertise. * Python. * SQL. * Cloud Computing. * Database management experience.

National Grid

Lead Data Scientist

Waltham, MA · On-site

$153K - $180K/yr

Bachelor's degree in a quantitative discipline. * 7+ years of Data Science or related experience. * Machine Learning expertise. * Python. * SQL. * Cloud Computing. * Database management experience.

National Grid

Data Scientist, Data Science

Waltham, MA · On-site

$103K - $121K/yr

... or a related quantitative field. * 2+ years' experience applying data science techniques in a business environment. * Strong skills in: * Python * SQL * Machine learning methods and tools

National Grid

Data Scientist, Data Science

Waltham, MA · Hybrid

$103K - $121K/yr

... or a related quantitative field. * 2+ years' experience applying data science techniques in a business environment. * Strong skills in: * Python * SQL * Machine learning methods and tools

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All JobsMachine Learning Quant JobsOvernight Machine Learning Quant JobsOvernight Machine Learning Quant Jobs in Worcester, MA

Overnight Machine Learning Quant information

See Worcester, MA salary details

$52.4K

$118.9K

$196.1K

How much do overnight machine learning quant jobs pay per year?

As of Sep 6, 2026, the average yearly pay for overnight machine learning quant in Worcester, MA is $118,906.00, according to ZipRecruiter salary data. Most workers in this role earn between $78,300.00 and $152,200.00 per year, depending on experience, location, and employer.

What is the difference between Overnight Machine Learning Quant vs Quantitative Researcher?

AspectOvernight Machine Learning QuantQuantitative Researcher
CredentialsAdvanced degrees in CS, Math, or Stats; programming skillsSimilar; advanced degrees often required
Work EnvironmentFinancial firms, hedge funds, trading desks; fast-paced, data-drivenFinancial institutions, research labs; analytical, research-focused
Industry UsageHigh-frequency trading, algorithmic strategiesMarket analysis, model development
Work HoursOvernight shifts aligned with trading hoursStandard business hours, flexible in some cases

While both roles involve quantitative analysis and programming, Overnight Machine Learning Quants focus on developing models for overnight trading strategies, often working overnight shifts. Quantitative Researchers typically conduct broader market research and model development during regular hours. The roles overlap in skills but differ mainly in work hours and specific application areas.

What cities near Worcester, MA are hiring for Overnight Machine Learning Quant jobs?

Cities near Worcester, MA with the most Overnight Machine Learning Quant job openings:

Overnight Machine Learning Quant jobs near you

Intern - Advanced Analytics (Summer 2027)

MAPFRE

Webster, MA • On-site

$29 - $31/hr

Full-time, Temporary, Internship

Posted 25 days ago

Key responsibilities

  • Partner with business and analytics teams to understand challenges and identify data-driven solutions.

  • Build and analyze datasets using SQL, Spark, and Python to uncover trends, patterns, and business opportunities.

  • Develop, train, and evaluate machine learning models that support strategic decision-making.

Job description

Summary
Mapfre is seeking highly motivated and intellectually curious college students to join our Advanced Analytics team for a 10-week summer internship from June 7th to August 13th 2027 in Webster or Boston, Massachusetts. If you thrive in a collaborative, fast-paced, and engaging environment, this is a great opportunity to gain hands-on experience and jump start your career in data analytics and business intelligence.
As an Advanced Analytics Intern, you will gain hands-on experience working on AI and data science initiatives that have a direct impact on the business. You'll partner with experienced analytics professionals to explore data, develop predictive models, evaluate outcomes, and communicate meaningful insights to business stakeholders.
What You'll Do
  • Partner with business and analytics teams to understand challenges and identify data-driven solutions.
  • Build and analyze datasets using SQL, Spark, and Python to uncover trends, patterns, and business opportunities.
  • Develop, train, and evaluate machine learning models that support strategic decision-making.
  • Participate in the end-to-end AI lifecycle, including data preparation, model validation, deployment readiness, monitoring, and ongoing performance evaluation.
  • Translate complex analytical findings into clear, actionable insights for both technical and non-technical audiences.
  • Measure the effectiveness and business impact of analytical solutions, including validating statistical results.
  • Present analytical findings and recommendations to analytics leaders and business stakeholders through presentations, dashboards and visualizations
  • Enhance and maintain existing analytics tools, models, and code using Python and SQL.
  • Support the integration of Responsible AI principles, including fairness, explainability, accountability, and data privacy.

Projects & Learning Opportunities
As an intern on the Advanced Analytics Team, you'll gain hands-on experience developing and deploying Artificial Intelligence and Machine Learning solutions that support key business initiatives across the organization. Develop an understanding of how advanced analytics and AI are applied within the insurance industry to enhance customer experience, operational efficiency, and business decision-making.
You'll work with modern cloud-based technologies including AWS, Python, SQL, Spark, and MLOps frameworks, gaining exposure to the full analytics lifecycle from data preparation and model development to deployment, monitoring, and performance optimization.
What We're Looking For
  • Graduate student (final year preferred) pursuing a degree in Mathematics, Statistics, Actuarial Science, Data Science, or a related quantitative discipline.
  • Working knowledge of Python and statistical analysis.
  • Exposure to SQL, Spark, and Generative AI (GenAI) prompting is a plus.
  • Passion for data, analytics, machine learning, and solving real-world business problems.

Why Choose Mapfre?
At Mapfre, interns don't just observe-they contribute. You'll gain hands-on experience, work alongside experienced actuarial professionals, and develop skills that can help shape your future career path.
Mapfre is a leading global insurance company with operations in 38 countries. As the largest auto and home insurer in Massachusetts, we combine international strength with deep local expertise. Our culture is built on collaboration, integrity, innovation, and continuous learning, creating an environment where emerging talent can grow, contribute, and thrive.
Mapfre offers an internship experience designed to help you take the next step in your professional journey.
Pay Transparency: The typical starting salary range for this role is determined by several factors including skills, experience, education, certifications, and location. Some roles at Mapfre are eligible for commission and/or bonus earnings, in addition to salary, calculated based upon factors set forth in the compensation plan for the role.
Hourly Range: $29.00 - $31.00
If you require a reasonable accommodation during the application or selection process, please contact the Mapfre Talent Acquisition team at talentacquisition@mapfre.com. Mapfre is proud to be an Equal Opportunity Employer.
Important Notice:
The information above is intended to provide a general overview of available benefits. Eligibility, plan provisions, and coverage are governed by the terms and conditions of the applicable benefit plans and policies, which may be modified from time to time

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