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Financial Investigations Data Scientist (Consultant)

Guidehouse Open · verified Oct 24, 2026
US - DC, Washington Full-time Mid-level Data Science

At a glance

Mid-level Data Science role at Guidehouse. US - DC, Washington · full-time · $74,000–$124,000 base.

SalaryStated by Guidehouse
$74,000 – $124,000
Base salary for this role, in USD per year, as published in the posting.
RoleData Science
SeniorityMid-level
LocationUS - DC, Washington
EmploymentFull-time
Base pay$74,000–$124,000
PostedSep 22, 2026 · 4w ago
Role brief

dataroles summary, based on the employer's posting.

What you'll do

  • Prepare and examine large datasets for financial-crime investigations, enforcement cases and related analysis
  • Use statistical and data-science methods to surface unusual activity, patterns and leads in AML and illicit-finance work
  • Build analytical outputs and investigative insights in collaboration with experienced investigators, analysts and data scientists

What you bring

  • You hold an active, maintained Secret clearance and are a U.S. citizen
  • You have a bachelor’s degree in a relevant field, such as data science, statistics or computer science
  • You bring at least three years handling complex data, including cleaning, transformation, analysis and interpretation
  • You have used Python, SQL and analytics libraries, and worked with both structured and unstructured data at scale
  • You can apply analytical methods and present findings clearly, with repeatable documentation

Who this fits

This role suits a mid-level data scientist who wants to support financial investigations alongside investigators and analysts. You must work at the client site in Washington, DC five days a week, and travel may reach ten percent.

From the employer

Job Family:

Risk & Regulatory Compliance Consulting


Travel Required:

Up to 10%


Clearance Required:

Active Secret

What You Will Do:

Support financial crime investigations, enforcement matters, and data analysis initiatives by preparing, analyzing, and interpreting large datasets. Apply data science, statistical, and analytical techniques to identify trends, anomalies, patterns, and investigative leads that support anti-money laundering (AML) and illicit finance investigations. Working alongside senior investigators, analysts, and data scientists, you will contribute to analytical products, data-driven insights, and investigative support activities.


What You Will Need:



  • An ACTIVE and MAINTAINED "SECRET" Federal or DoD security clearance.
  • Must be a US Citizen due to nature of client engagements.
  • Bachelor's degree in Data Science, Statistics, Computer Science, Mathematics, Economics, Finance, Criminal Justice, Intelligence Studies, or a related field.
  • Minimum of Three(3) years of experience cleaning, transforming, analyzing, and interpreting complex datasets.
  • Experience using Python, SQL, and data analytics libraries to query, manipulate, and analyze data.
  • Experience working with structured and unstructured data in large-scale data environments.
  • Experience with statistical analysis, machine learning, anomaly detection, natural language processing, or related analytical techniques.
  • Experience querying and analyzing data using relational databases and data platforms such as SQL Server, Oracle, PostgreSQL, Hive, Spark, or similar technologies.
  • Experience creating data visualizations, dashboards, reports, or other analytical products.
  • Ability to document analytical methodologies and results in a clear, concise, and repeatable manner.
  • Strong written and verbal communication skills.
  • Willing to work from client site in Washington, DC five(5) days a week.

What Would Be Nice To Have:



  • Experience supporting financial crime, fraud, regulatory, intelligence, or investigative programs.
  • Experience analyzing BSA data, including SARs, CTRs, wire transfers, account activity, or other financial intelligence datasets.
  • Experience performing entity resolution, link analysis, network analysis, or relationship mapping.
  • Experience supporting FinCEN, Treasury, DOJ, DHS, law enforcement, regulatory, or other federal government programs.



The annual salary range for this position is $74,000.00-$124,000.00. Compensation decisions depend on a wide range of factors, including but not limited to skill sets, experience and training, security clearances, licensure and certifications, and other business and organizational needs.


What We Offer:

Guidehouse offers a comprehensive, total rewards package that includes competitive compensation and a flexible benefits package that reflects our commitment to creating a diverse and supportive workplace.

Benefits include:

  • Medical, Rx, Dental & Vision Insurance

  • Personal and Family Sick Time & Company Paid Holidays

  • Position may be eligible for a discretionary variable incentive bonus

  • Parental Leave and Adoption Assistance

  • 401(k) Retirement Plan

  • Basic Life & Supplemental Life

  • Health Savings Account, Dental/Vision & Dependent Care Flexible Spending Accounts

  • Short-Term & Long-Term Disability

  • Student Loan PayDown

  • Tuition Reimbursement, Personal Development & Learning Opportunities

  • Skills Development & Certifications

  • Employee Referral Program

  • Corporate Sponsored Events & Community Outreach

  • Emergency Back-Up Childcare Program

  • Mobility Stipend

About Guidehouse

Guidehouse is an Equal Opportunity Employer–Protected Veterans, Individuals with Disabilities or any other basis protected by law, ordinance, or regulation.

Guidehouse will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of applicable law or ordinance including the Fair Chance Ordinance of Los Angeles and San Francisco.

If you have visited our website for information about employment opportunities, or to apply for a position, and you require an accommodation, please contact Guidehouse Recruiting at 1-571-633-1711 or via email at RecruitingAccommodation@guidehouse.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodation.

All communication regarding recruitment for a Guidehouse position will be sent from Guidehouse email domains including @guidehouse.com or guidehouse@myworkday.com. Correspondence received by an applicant from any other domain should be considered unauthorized and will not be honored by Guidehouse. Note that Guidehouse will never charge a fee or require a money transfer at any stage of the recruitment process and does not collect fees from educational institutions for participation in a recruitment event. Never provide your banking information to a third party purporting to need that information to proceed in the hiring process.

If any person or organization demands money related to a job opportunity with Guidehouse, please report the matter to Guidehouse’s Ethics Hotline. If you want to check the validity of correspondence you have received, please contact recruiting@guidehouse.com. Guidehouse is not responsible for losses incurred (monetary or otherwise) from an applicant’s dealings with unauthorized third parties.

Guidehouse does not accept unsolicited resumes through or from search firms or staffing agencies. All unsolicited resumes will be considered the property of Guidehouse and Guidehouse will not be obligated to pay a placement fee.

Opportunity

Data Science work from LinkedIn, X, Reddit and Upwork, in one list.

Each morning you get everything that fits, strongest first.

Data Science$70k+

Find me work

By the team behind dataroles.

Find me work
Opportunity

Data Science work from LinkedIn, X, Reddit and Upwork, in one list.

Each morning you get everything that fits, strongest first.

Find me work

By the team behind dataroles.