1

Data Science Consultant Jobs in Boston, MA (NOW HIRING)

Senior Insurance Data Science Consultant

Boston, MA · Remote

$89K - $109K/yr

We are seeking a highly experienced and strategically-minded Senior Insurance Data Science Consultant to join our growing analytics team. This role is ideal for a seasoned professional with actuarial ...

Director, Data Science

Boston, MA · On-site

$235K - $307K/yr

About the Position As the Director of Data Science at Formation Bio, you will be at the forefront ... sciences (biotech, pharma, consulting) * Strong programming skills, particularly in Python

Senior Data Science Engineer

Cambridge, MA · On-site

$126K - $151K/yr

Saviance is a technology consulting firm specializing in data analytics and machine learning solutions. As a Senior Data Science Engineer, you will leverage radar data to drive strategic decisions ...

Data Scientist

Boston, MA · On-site

$110 - $120/hr

Serve as the technical interface between the Data Science & Engineering team, consulting partners, and clients while ensuring alignment onfit, feasibility, and delivery expectations * Translate ...

next page

Showing results 1-20

Data Science Consultant information

See Boston, MA salary details

$12

$48

$84

How much do data science consultant jobs pay per hour?

As of Sep 6, 2026, the average hourly pay for data science consultant in Boston, MA is $48.77, according to ZipRecruiter salary data. Most workers in this role earn between $32.88 and $65.29 per hour, depending on experience, location, and employer.

What is a data science consultant?

Data Science Consultants are professionals who use statistical analysis, machine learning, and data modeling to help organizations solve business problems and make informed decisions. They typically work with clients to understand their data-related challenges, develop tailored analytical solutions, and communicate actionable insights. Their expertise spans across data collection, data cleaning, predictive analytics, and data visualization, enabling businesses to leverage data for strategic advantage. Data Science Consultants often work on a project basis, either independently or as part of consulting firms, serving clients in various industries.

How does a data science consultant typically collaborate with clients and internal teams during a project?

Data Science Consultants work closely with both clients and internal stakeholders to understand business objectives, gather requirements, and translate them into analytical solutions. They often facilitate workshops or meetings to clarify goals, then collaborate with data engineers, analysts, and subject matter experts to design and implement models. Regular communication is essential, as consultants must present findings in accessible terms, adjust methodologies based on feedback, and ensure solutions are actionable for the client’s needs. This cross-functional collaboration is key to delivering value and building long-term client relationships.

What are the key skills and qualifications needed to thrive as a data science consultant, and why are they important?

To thrive as a Data Science Consultant, you need strong analytical skills, proficiency in statistics, and experience with data modeling, typically supported by a degree in a quantitative field. Familiarity with programming languages like Python or R, data visualization tools (e.g., Tableau or Power BI), and cloud platforms is commonly required, along with certifications such as AWS Certified Data Analytics or Google Data Engineer. Excellent communication, problem-solving abilities, and business acumen help consultants translate complex data insights into actionable recommendations for clients. These skills are vital to deliver tangible business value, bridge technical and non-technical stakeholders, and drive data-driven decision-making.

How much does a data science consultant make?

Data science consultants typically earn between $70,000 and $150,000 annually, depending on experience, location, and industry. Senior or specialized consultants with advanced skills in machine learning and data analysis can earn higher salaries, especially when working on complex projects or for large organizations.
Infographic showing various Data Science Consultant job openings in Boston, MA as of August 2026, with employment types broken down into 100% Full Time. Highlights an 66% In-person, and 34% Remote job distribution, with an average salary of $101,447 per year, or $48.8 per hour.

Compliance Data Science Consultant

Ropes & Gray

Boston, MA • On-site

Full-time

Posted 3 days ago

New


Job description

About Ropes & Gray

Ropes & Gray is a preeminent global law firm. The firm has been ranked in the top three on The American Lawyer's prestigious A-List for eight consecutive years and #1 on Law.com's UK A-List twice in the past three years - rankings that honor the "best of the best" law firms.The firm has approximately 2,500 lawyers and professionals serving clients in major centers of business, finance, technology, and government in Boston, Chicago, Dublin, Hong Kong, London, Los Angeles, Milan, New York, Paris, San Francisco, Seoul, Shanghai, Silicon Valley, Singapore, Tokyo and Washington, D.C.The firm has consistently been recognized for its leading practices in many areas, including asset management, private equity, M&A, finance, real estate, tax, antitrust, life sciences, health care, intellectual property, litigation & enforcement, privacy & cybersecurity, and business restructuring.Ropes & Gray is an equal opportunity employer.

Overview

The Compliance & Data Science Consultant supports the Lab's compliance advisory and data analytics service lines by combining substantive regulatory knowledge with quantitative and computational skill. The incumbent in the role will contribute to client-facing compliance assessments, portfolio monitoring engagements, and data-driven risk analytics projects.

Responsibilities

Compliance Program Advisory:

  • Support the design, implementation, and evaluation of client compliance programs.
  • Conduct compliance risk assessments, gap analyses, and portfolio monitoring reviews under senior Lab supervision.
  • Assist with substantive regulatory analysis in areas including sanctions, anti-bribery and corruption, and sector-specific frameworks.
  • Prepare client-ready deliverables including assessment reports, program design recommendations (including policy revisions), and remediation roadmaps.
  • Continue to develop AI-driven workflows to derive efficiency on PE monitoring and compliance advisory work.

 

Data Science & Analytics:

  • Develop and execute data analytics workflows for compliance monitoring, risk stratification, and regulatory reporting engagements.
  • Apply statistical methods, data visualization, and computational techniques to identify patterns, anomalies, and risk indicators in client datasets.
  • Contribute to the Lab's data governance advisory offerings, including data mapping, classification frameworks, and quality assurance protocols.
  • Support the integration of AI and machine learning tools into compliance workflows, including prompt engineering, output validation, and tool evaluation.

 

Cross-Functional:

  • Collaborate with the existing data science consultant on projects requiring both regulatory context and quantitative execution, serving as the compliance-substance bridge.
  • Assist with business development by creating and maintaining proposal content, scoping documents, and assisting with through leadership at the compliance/analytics intersection.
  • Maintain active engagement with professional communities (e.g., SCCE, SCCE Data Analytics Working Group) to inform service line development.

 

THE PERSON:

This is a career opportunity for a curious, analytical, and practical problem-solver who can connect regulatory requirements with data-driven approaches. You'll bring sound judgment, energy, and creativity to client engagements and help translate complex compliance and analytical concepts into clear, actionable advice for attorneys, clients, and other stakeholders.

You'll be comfortable working across disciplines and learning quickly in a dynamic, entrepreneurial environment. You'll need to communicate clearly, collaborate with lawyers and data scientists, take ownership of your work, and be confident contributing ideas while developing toward independent engagement management.

Qualifications
  • Bachelor's degree required.
  • Three to five years of professional experience in compliance, regulatory consulting, or a related advisory role within healthcare, banking/investment management, or biotech/pharmaceutical industries.
  • Demonstrated applied experience in data science, data analytics, or quantitative risk analysis (academic or professional).
  • Foundational knowledge of compliance program structure, including the DOJ Evaluation of Corporate Compliance Programs framework or equivalent regulatory guidance.
  • Substantive familiarity with at least two of the following: sanctions screening, anti-bribery/FCPA compliance, data governance, or regulatory risk modeling.

Proficiency with analytical tools such as Python, R, SQL, or comparable platforms; comfort working with structured and unstructured datasets.

Compensation and Total Rewards Package

The Ropes & Gray Insights Lab is proud to offer a comprehensive Total Rewards package to employees. The firm also offers comprehensive health and well-being benefits, personal and professional development, career growth opportunities, and a collegial and supportive culture. The anticipated pay range for this role is $150,000 - $200,000, which represents our good faith and reasonable estimate of the starting salary range at the time of posting. In addition, this role is eligible for a discretionary bonus based on performance. The actual offered rate for this position will be determined based on job-related, non-discriminatory factors, including qualifications and experience, geographic location, education, external market data, and consideration of internal equity.

Working Conditions

This position requires hybrid on-site presence as an essential function of the role. Consistent and predictable on-site presence is required for ongoing business continuity, professional development and effective collaboration with colleagues and management.

Employment Type: OTHER