Boston, MA

Data Jobs in Boston, MA

52 jobs found

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Today

Portfolio Reference Data Analyst Co-op

Wellington Management Boston, MA

Boston, MA

Today

$19 - $35/hr Internship Data Data Analysis Data Analytics

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Job Description

The Portfolio Reference Data Analyst Co-op role supports Wellington Management’s Reference Data function within Global Operations. The position helps maintain reference data accuracy, completeness, and timeliness that supports investment, infrastructure, and client platforms, working closely with internal teams and external vendors.

Role Overview

As a co-op analyst in the Reference Data team, you will perform data operations that support portfolio eligibility and ongoing data quality improvements. The work includes collaboration with stakeholders across operations and investment-related functions, as well as coordination with data vendors to validate and maintain reference information.

Key Responsibilities

Support investment teams with security setup and ongoing maintenance across equities, fixed income, and derivatives.
Coordinate with custodian banks to obtain and update cash rates.
Liaise with Trading, underwriters, market data vendors, and government sources to gather required documentation for bond issuances.
Review security documentation, including prospectuses and offering documents, to assess portfolio eligibility.
Use market data vendors and rating agencies, including Bloomberg, Markit, and major ratings providers, to analyze and validate data changes.
Respond to routine and complex inquiries with timely, accurate, and thorough support.
Assist in developing controls intended to strengthen daily operational processes.
Contribute to special projects as assigned by management.

Required Qualifications

Strong academic credentials and interest in investment management, financial markets, and data-driven operations.
Preference for coursework in finance, economics, business management, data science, mathematics, computer science, or a related field.
Strong analytical ability, attention to detail, intellectual curiosity, and capability to manage competing priorities in a fast-paced environment.
Proficiency with Microsoft Excel is required.
Ability to communicate effectively and work collaboratively with global teams, including asking thoughtful questions and taking a proactive approach to learning and problem solving.
Prior internship, co-op, or project experience in financial services, data analysis, operations, or research is helpful but not required.

Preferred Skills

Exposure to SQL, Bloomberg, or python is a plus.

Technologies

Microsoft Excel
SQL
Bloomberg
python

Compensation

Base salary range: USD 19 to 35 per hour

Location and Work Arrangement

Boston, MA (hybrid)
Job type: internship

Benefits

Employees are eligible to receive salary, variable compensation, and benefits.
Discretionary Corporate Bonus and/or incentives, if eligible.
Comprehensive and high value benefit package.
Retirement plan.
Health and wellbeing benefits, including dental coverage, vision coverage, and pharmacy coverage.
Health savings account and flexible spending accounts and commuter program.
Employee assistance program.
Life and disability insurance.
Adoption assistance and back-up childcare.
Tuition/CFA reimbursement.
Paid time off including leave of absence, paid holidays, volunteer, sick and vacation time.

Additional Notes

This co-op position includes cross-training to support optimal performance across functions.
Anticipated start date for accepted candidates: December 2026 / January 2027.

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Today

Academic Data Analyst

Boston University Boston, MA

Boston, MA

Today

Full time Academic Data Data Analysis

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Job Description

Boston University is seeking an Academic Data Analyst to strengthen the accuracy and integrity of undergraduate academic records. Working with the Undergraduate Registrar's Office, you will collect, manage, analyze, and report on key undergraduate data spanning enrollment, degree progress and graduation, faculty workload, and academic programs. This onsite role in Boston, MA supports reliable reporting for college operations and decision-making.

What you will do

Collect, maintain, and analyze datasets from multiple sources, including student information systems, learning management systems, and internal and external databases.
Maintain data quality and integrity by following established data management protocols, identifying discrepancies, and completing regular audits.
Run routine and ad hoc data pulls and analyses for needs such as enrollment, class lists, academic programs, and other College requests.
Compile, validate, and prepare academic data required for annual University reporting and other institutional requests.
Collect and compile graduation and degree-completion information across undergraduate programs, ensuring data is current for reporting and analysis.
Review and reconcile student academic records to support degree completion and graduation clearance.
Support commencement by participating in graduation officiating and assisting with planning, logistics, and implementation.
Coordinate graduation participation and record requirements for students pursuing dual degrees and double majors.
Analyze semester credit-hour activity by student population to identify and report enrollment and academic trends.
Collect and manage faculty workload data from university systems for institutional reporting.
Support data collection and reporting related to State Authorization Reciprocity Agreement (SARA) requirements, including student enrollment and location and other academic information as needed.
Review data for accuracy and consistency prior to submission, addressing discrepancies as necessary.
Handle student eligibility for tuition overload waiver requests, ensuring approvals and supporting documentation are accurately maintained.
Coordinate with undergraduate academic advising staff and the Undergraduate Programs Office to monitor full-time and part-time enrollment status and update records.
Review and process academic program changes and degree enhancements, including double majors and dual degrees, to ensure compliance with degree requirements.
Review and approve class-standing petitions according to College and University policies.
Provide backup support for academic scheduling activities and help identify and minimize scheduling conflicts.
Manage and track administrative approval requests through ServiceNow or other University systems as needed.
Provide backup support for graduation processes, including student record and degree-completion verification, as well as backup support to the Program Coordinator and other Undergraduate Registrar's Office staff.
Perform other related duties and operational support for the Undergraduate Registrar's Office as needed.

What you bring

Bachelor’s degree and three years of relevant experience.
Strong analytical skills with demonstrated ability to work with, interpret, and reconcile data from multiple sources.
Strong attention to detail and a commitment to data accuracy and integrity.
Strong organizational and time-management skills, with the ability to manage multiple priorities and deadlines.
Strong written and verbal communication skills for explaining data and reporting clearly to academic and administrative stakeholders.
Proficiency with spreadsheets, databases, reporting tools, student information systems, or similar data-management technologies.
Demonstrated problem-solving skills to identify, investigate, and resolve data discrepancies.
Ability to exercise discretion when handling confidential student and institutional information.
Ability to work independently and collaboratively in a deadline-driven academic environment.

Tools you will use

FileMaker
ServiceNow
Spreadsheets, databases, and reporting tools
Student information systems
Learning management systems

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20d ago

AI Engineer

Suffolk Construction Company, Inc. Boston, MA

Boston, MA

20d ago

$107k - $223k/yr Full time Backend Developer Artificial Intelligence AWS

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Job Description

Build production-grade AI systems for construction workflows, translating requirements into end-to-end solutions on AWS and Databricks.

Responsibilities

Translate product requirements and user stories into production-grade AI solutions using AWS Bedrock, AWS Lambda, ECS/EKS, and Databricks
Implement RAG pipelines with Delta tables, Unity Catalog, and Vector Search
Design and deploy multi-model agents that dynamically route between Claude, GPT, Llama, Titan (based on task context, cost, and latency)
Implement multi-agent orchestration frameworks for collaboration among specialized agents (for example: data retriever, planner, summarizer, action executor) for complex construction workflows
Own the full lifecycle: design, development, testing, deployment, monitoring, and maintenance
Build APIs, backend services, and agentic workflows using Python, FastAPI, LangChain, and AWS SDKs
Create reusable connectors and orchestration layers for multi-model agents (Claude, GPT, Llama, etc.)
Develop front-end integrations for Teams and web SPAs using REST or GraphQL endpoints
Partner with Data Engineering to design robust ETL/ELT pipelines from enterprise systems to the Databricks Lakehouse
Ensure efficient data access, caching, and vectorization for low-latency AI responses
Build tools to monitor and improve data quality, latency, and observability
Automate infrastructure and deployments with Terraform, AWS CDK, and GitHub Actions
Implement LLMOps practices including cost monitoring, latency optimization, usage analytics, and model versioning
Enforce security, governance, and access standards aligned with enterprise policies
Collaborate with product managers, site AI engineers, and data scientists to iterate quickly in Agile sprints
Communicate technical progress to non-technical stakeholders and contribute to internal AI playbooks and templates

Requirements

4-6 years of professional software development experience on AWS, with 2+ years focused on AI/ML engineering (LLMs, RAG, Bedrock, or similar)
Strong coding proficiency in Python (LangChain, FastAPI, boto3) and solid experience with SQL, Databricks, and vector databases
Experience designing and deploying production systems using AWS Lambda, ECS/EKS, API Gateway, Step Functions, S3, CloudFront, and KMS
Strong foundation in CI/CD, IaC (Terraform/CDK), and GitHub Actions
Experience training, retraining, and performing transfer learning on ML models is desirable
Bachelor’s degree in Computer Science, Engineering, Physics, or a related field; Master’s preferred
Hands-on experience in construction or heavy process industries (manufacturing, oil & gas, chemicals) is a significant plus
Excellent collaboration and communication skills; capable of working cross-functionally without reliance on business-side facilitation
Integration and ETL skills: foundational ETL/ELT design, experience with Airflow or Databricks Workflows, and REST/GraphQL API development; proven collaboration with Data Engineering on source-to-lake and lake-to-agent pipelines

Technologies

AWS Bedrock, AWS Lambda, ECS, EKS, Databricks
Delta tables, Unity Catalog, Vector Search
Claude, GPT, Llama, Titan
Python, FastAPI, LangChain, AWS SDKs, boto3
SQL, vector databases
API Gateway, Step Functions, S3, CloudFront, KMS
Terraform, AWS CDK, GitHub Actions, CI/CD
LLMOps, ETL/ELT, Airflow, Databricks Workflows, REST, GraphQL

Benefits

Competitive salaries
Auto allowances and gas cards for certain roles
Market leading medical and emotional and mental health benefits
Dental and vision insurance plans
Virtual care options for physical therapy and primary care
Generous paid time off
401k plan with employer match
Access to expert financial resources
Company paid and voluntary life insurance
Tax deferred savings accounts
10 backup daycare days each year
Short- and long-term disability
Commuter benefits

Working Conditions

Regularly required to sit for long periods of time; talk or hear; perform fine motor, hand and finger skills using a keyboard, telephone, or writing
Frequently required to stand, walk, and reach with arms and/or hands
Specific vision abilities include close vision, distance vision, depth perception, and the ability to adjust focus
Office environment with quiet to moderate noise level
Job site walking

EEO Statement

Suffolk provides equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, sex, sexual orientation, pregnancy or maternity, national origin, citizenship, genetic information, disability, protected veteran, gender identity, age or any other status protected by law
This policy applies to recruiting, hiring, transfers, promotions, terminations, compensation, benefits, and all other terms and conditions of employment
Suffolk will not tolerate any unlawful discrimination toward, or harassment of, applicants or employees by anyone at Suffolk, or anyone working on behalf of Suffolk

Compensation Information

Where required by law, pay ranges can be found in Suffolk's job postings
Base Salary for this position is one component of Suffolk’s total rewards package
Actual salaries may be based on skill set, experience, education, and other qualifications
Suffolk offers a comprehensive benefits package as part of its overall total rewards strategy
Salary ranges are reviewed regularly to reflect market trends

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21d ago

Data Analyst

LinQ Global Group Boston, MA

Boston, MA

21d ago

$50 - $50/hr Contract Analytics Business Intelligence Cloud Data Warehouse

Apply Now

Job Description

LinQ Global Group is hiring a Data Analyst for a contract role based in Boston, MA 02108 (onsite). In this position, you will help support health system planning, emergency preparedness, and public health surveillance through epidemiologic analysis, dataset integration, and clear reporting for decision-makers.

The work focuses on turning healthcare and public health data into actionable recommendations, including near real-time monitoring, dashboard and GIS visualization, and ongoing evaluation of surveillance system performance and data quality.

What you’ll do

Perform epidemiologic surveillance and analysis of healthcare utilization, capacity, workforce, and service delivery data.
Monitor syndromic surveillance and other near real-time data sources to detect emerging trends in health system demand and delivery.
Link, clean, and analyze multiple state and federal datasets using SAS, SQL, Snowflake, or similar tools.
Create dashboards, maps, and other visualizations using Tableau, Power BI, ArcGIS, and related software.
Support facility onboarding to the Automated Capacity Occupancy Reporting Network (ACORN), including technical assistance and data quality review to support real-time capacity submissions.
Evaluate surveillance systems and recommend improvements to data quality, validity, and timeliness.
Contribute to emergency preparedness planning, situational awareness, and public health response activities.
Produce reports, data briefs, presentations, and policy recommendations for agency leadership and partners.
Collaborate with internal and external stakeholders to improve health system planning and resilience.

Required qualifications

Master’s degree in Epidemiology, Public Health, Biostatistics, Health Informatics, Data Science, or a related field.
Experience with SAS and SQL.
Experience with Tableau, Power BI, and/or ArcGIS.
Knowledge of public health surveillance, healthcare data systems, and epidemiologic methods.
Strong communication, project management, and stakeholder engagement skills.

Key technologies and tools

SAS, SQL, Snowflake
Tableau, Power BI, ArcGIS
ACORN

Compensation: USD 50 per hour (listed as $50/hr on W2). Location: Boston, MA 02108 (onsite). Job type: contract. Duration: 12 months possible ext.

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22d ago

Machine Learning Engineer

John Hancock Life Insurance Company (U.S.A.) Boston, MA

Boston, MA

22d ago

$90k - $167k/yr Full time Backend Developer APIs Artificial Intelligence

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Job Description

John Hancock Life Insurance Company (U.S.A.) is hiring a Machine Learning Engineer to build production ML and data infrastructure for underwriting and analytics workflows.

Responsibilities

Develop, build, and maintain scalable data pipelines for underwriting, analytics, and machine learning systems
Develop and deploy backend services and microservices for data ingestion, retrieval, and ML inference workflows
Deploy, monitor, and maintain machine learning pipelines and backend services in production
Perform root-cause analysis for data, model, and pipeline issues; implement corrective actions
Collaborate with data scientists, underwriters, and engineering teams to convert business requirements into technical solutions
Support production releases and large-scale batch processing for underwriting workflows

Requirements

Master’s degree (or foreign equivalent) in Data Science, Information Studies, Information Science, Computer Science, Machine Learning, or a closely related field
3+ years of Python programming experience for backend systems, automation, or machine learning workloads
3+ years with SQL or NoSQL databases, including PostgreSQL or MongoDB, for data modeling, querying, or pipeline integration
3+ years developing or deploying ML models using PyTorch or TensorFlow
3+ years building or maintaining backend APIs or microservices using FastAPI or Flask
2+ years deploying ML workflows or backend services using AWS or Azure
2+ years using containerization and orchestration tools including Docker and Kubernetes
2+ years using GitHub Actions or TeamCity for Continuous Integration/Continuous Deployment (CI/CD)
2+ years designing distributed or scalable systems, including microservices, load balancing, or distributed processing

Technologies

Python
SQL
NoSQL
PostgreSQL
MongoDB
PyTorch
TensorFlow
FastAPI
Flask
AWS
Azure
Docker
Kubernetes
GitHub Actions
TeamCity

Compensation

Salary: $162,198 per year
Expected range: $90,160.00 USD - $167,440.00 USD

Benefits

Eligible employees may participate in incentive programs and earn incentive compensation tied to business and individual performance
Health, dental, mental health, vision, short- and long-term disability, life and AD&D insurance coverage, adoption/surrogacy and wellness benefits, and employee/family assistance plans
Retirement savings plans including pension/401(k) savings plans and a global share ownership plan with employer matching contributions
Financial education and counseling resources
Paid time off program in the U.S.: up to 11 paid holidays, 3 personal days, 150 hours of vacation, and 40 hours of sick time each year (or more where required by law), plus statutory leaves of absence

Work Arrangement

Hybrid role based in Boston, MA (3 days in office, 2 days from home)

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24d ago

AI Engineer Co-Op

Audax Group Boston, MA

Boston, MA

24d ago

$30 - $34/hr Internship Artificial Intelligence Azure Cloud Platform

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Job Description

Audax Group is hiring an AI Engineer Co-Op with the Business Solutions team to support the Director, AI Solutions Architect for Audax Private Equity. This hybrid role in Boston, MA combines hands-on AI development with governance and deployment support, giving you exposure to how AI initiatives move from proof of concept to production in a cloud environment.

You will collaborate across internal teams, contribute to AI ecosystem development, and help coordinate the work required to support new use cases. The role also includes support for AI governance policies, data validation, and user testing across different firm function areas.

What you’ll do

Assist with designing, implementing, maintaining, and scaling Audax’s AI ecosystem.
Coordinate with internal IT professionals to scale AI infrastructure within the company’s cloud enterprise.
Contribute to proof-of-concept development for function area use cases across the firm.
Support implementation of AI governance policies, including security, documentation, and privacy.
Perform data validation and data quality assessments by working with the firm’s internal data engineers.
Code in an IDE environment (VS Code) using Python, SQL, and Git.
Use cloud environment services to support AI application development and deployment.
Experiment with modern AI architectures to support experimentation and use case development.
Coordinate across firm function areas for information gathering, updates, and user testing.

What you’ll bring

Currently pursuing a Bachelor’s or Master’s degree in Data Science, Data Engineering, Data Analytics, Computational Engineering, Computer Science, or a related field.
Experience with at least two of the following: traditional machine learning, natural language processing, transfer learning/fine-tuning, predictive analytics, agentic frameworks, AI output evaluation, data engineering.
Strong written and oral communication and critical thinking skills to work effectively with all levels of the organization.
Previous Co-Op or full-time experience in a related field is a plus.

Tools you’ll use

Python, SQL, Git, VS Code, Microsoft Azure, GitHub, Microsoft Office suite, OpenAI (SDKs, tools, CustomGPTs), Snowflake

Compensation & schedule

Hourly rate: USD 30.00–34.00 per hour.

Internship cycle: January to June 2027.

Anticipated dates: January 4 to June 25, 2027 (flexible based on school requirements).

Work location: Boston, MA (hybrid, 3-4 days in office).

Travel: No regular travel is required.

Benefits

Health insurance
Life insurance
Disability insurance
Paid time off (including sick leave, parental leave, volunteer leave, and vacation)
Charitable donation match
Family support services (including Bright Horizons and Benefit Advocate Center)
401(k)
Annual discretionary incentive compensation based on performance

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24d ago

Machine Learning Engineer

XPO Boston, MA

Boston, MA

24d ago

$100k - $120k/yr Full time Artificial Intelligence Automation Bigquery

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Job Description

As an Machine Learning Engineer at XPO in Boston, MA (hybrid), you’ll help strengthen the foundation behind reliable ML delivery. The role focuses on building and maintaining ML data preparation and validation tooling, plus ML infrastructure that supports training, evaluation, deployment, and MLOps capabilities such as CI/CD, monitoring, and feedback loops. You’ll also collaborate closely with applied and data scientists and partner with data engineering teams to streamline the journey from experimentation to production.

What you’ll do

Build and maintain data preparation and validation tooling to support high-quality inputs for ML and optimization models
Design and implement ML infrastructure for model training, evaluation, and deployment
Develop and maintain CI/CD pipelines for machine learning models, including automated testing and validation
Implement model monitoring, drift detection, and feedback loops to track production performance
Partner with applied and data scientists to productionize models and streamline the path from experimentation to deployment
Collaborate with data engineering teams to ensure reliable, accessible data pipelines
Contribute to shared MLOps tooling and best practices across the AI/ML organization

What you bring

Bachelor’s degree in Computer Science, Engineering, or related field (or equivalent related work or military experience)
1+ year of experience in software or machine learning engineering, including hands-on work building data pipelines, ML infrastructure, or MLOps tooling
Experience developing data preparation, validation, or quality-checking tooling for ML pipelines
Proficiency in Python and SQL
Experience with cloud data or ML platforms, such as AWS, GCP, or BigQuery
Strong collaboration skills working across data science/applied science and data engineering teams
Master’s degree in Computer Science or related field
3+ years building ML infrastructure for training, evaluation, and deployment at scale
Experience building and maintaining CI/CD pipelines for machine learning models
Experience with model serving and inference infrastructure (batch and real-time)
Experience implementing model monitoring, drift detection, and feedback-loop tooling
Experience with containerization and orchestration (Docker, Kubernetes)
Experience partnering with data engineering teams on data pipeline reliability and access

Technologies

Python, SQL, AWS, GCP, BigQuery, Docker, Kubernetes

Compensation and benefits

Annual salary range: $100,000 to $120,000. Actual compensation may vary based on experience and skill set. This is an incentive-based position, which may include bonuses, incentive, or commission plans.