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Financial Investigations Data Scientist (Consultant)

Pay
$74,000–124,000/year — pay source
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.
Read the full posting
Work setting
Not stated
Employment
Full-time — employment source
Employment type in the employer’s posting: Full time
From the employer’s posting

Before you apply

Work authorization
Citizens onlyAn ACTIVE and MAINTAINED SECRET Federal or DoD security clearance

What you’ll work on

Full posting
  • Prepare, analyze and interpret large datasets for financial crime investigations

  • Identify trends, anomalies, patterns and investigative leads for AML work

  • Contribute to analytical products and data-driven investigative support

From the employer’s posting
preparing, analyzing, and interpreting large datasets
Apply data science, statistical, and analytical techniques to identify trends, anomalies, patterns, and investigative leads
contribute to analytical products, data-driven insights, and investigative support activities

What you’ll bring

All qualifications

Core experience

  • Bachelor's degree in Data Science, Statistics, Computer Science, Mathematics, Economics, Finance, Criminal Justice, Intelligence Studies, or a related field.
  • 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.

Preferred experience

  • 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.
Qualification wording
Bachelor's degree in Data Science, Statistics, Computer Science, Mathematics, Economics, Finance, Criminal Justice, Intelligence Studies, or a related field.
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.
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.
Education & alternatives
- 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.

About Guidehouse

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

In the employer’s words · Read in context

Apply at Guidehouse

Posting record

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Status in our records
Live
First seen by us
Sep 23, 202649 days ago
Recorded sightings
113
Last seen by us
Nov 10, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Pay

Lower than most similar jobs

$74K–$124K against $118K–$195K, the middle half of what similar US postings state.

From 3,817 postings in the last year. Stated ranges, not salaries paid.

Time since we first saw it

Day 49

Similar jobs usually come down between day 8 and day 59.

At Guidehouse, jobs usually come down by about day 30.

From 11,372 similar postings that came down, and 149 of Guidehouse’s. Coming down is not always a hire.

Guidehouse is hiring

102 open jobs

Open jobs by the week we first saw them, last 12 weeks.

  • Takes jobs down at a usual pace
  • 6% of open jobs were reposted
Hiring record

See how this role fits your experience

Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.

  • Python
  • SQL
  • Hive
  • Oracle
  • PostgreSQL
  • Spark
  • SQL Server
Where the posting names them
- 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.

Your next step

Complete your application on guidehouse.wd1.myworkdayjobs.com. The employer’s form will show what is required.

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  • Your application status lives in that employer’s Candidate Home, under the same sign-in.

Already applied? Track this application

Demand for Data Scientist roles

New Data Scientist postings at the employers we follow are down 6% over the last 6 weeks compared with the 6 before.

Weekly new Data Scientist postings at the same employers, from the week of August 17 to the week of November 2. The fewest in a week was 1,408, the most 2,964, and the latest week had 2,126.
August 17Last week

Each bar is one week of new postings. The darkest bars are the last 6 weeks.

Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.

About the role

We file this job under Data Scientist, by the work the posting describes.

Data scientists use statistics and models to answer harder questions, such as whether a change worked, what demand will look like next quarter, or which customers are likely to leave.

Postings usually ask for Python or R, SQL, statistics, experiment design and common machine learning methods.

Unlike an ML engineer, a data scientist's main output is often an analysis or a first model, not software running inside a product.

US government figures for data scientists

Median yearly pay, May 2025
$120,230
Expected change, 2025 to 2035
34.6% more jobsagainst 3.5% for all jobs

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-2051.

Job description

View original posting ↗

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.

Source details

View original posting ↗

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Pay
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.
Location & working pattern

US - DC, Washington

Working pattern and location restrictions need checking in the full posting.

Work authorization
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.

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