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Fraud AI / Data Consultant

Role overview

Qualifications

  • Bachelor’s degree from an accredited college/university
  • 1 years of experience in data analytics, data engineering, or data science
  • Strong proficiency and development experience in Python and SQL
  • Proficiency working with various data structure formats (CSV/TXT, JSON, XML, Parquet, etc.)

Responsibilities

  • Support development of AI and data solutions including analytics pipelines, dashboards, and basic machine learning models
  • Develop, test, and tune fraud and FinCrime prevention and detection rules in a variety of programming languages
  • Analyze structured and unstructured datasets to generate actionable insights
  • Collaborate with data engineers, data scientists, and business stakeholders

Key facts

Hard skills

Other skills

  • Analytical Thinking
  • Problem Solving
  • Communication

About the company

Guidehouse logo

Guidehouse

Business Consulting & Services

Guidehouse is a global consultancy providing advisory, digital, and managed services to the commercial and public sectors. Guidehouse is purpose-built to serve the national security, financial services, healthcare, energy, and infrastructure industries. Disrupting legacy consulting delivery models with its agility, capabilities, and scale, the firm delivers technology-enabled and focused solutions that position clients for innovation, resilience, and growth. With high-quality standards and a relentless pursuit of client success, Guidehouse’s more than 17,000 employees collaborate with leaders to outwit complexity and achieve transformational changes that meaningfully shape the future.

Company details

Company typeLarge
IndustryBusiness Consulting & Services
Company size10001

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Job description

Job Family:

Technology Consulting


Travel Required:

Up to 50%


Clearance Required:

Ability to Obtain Public Trust

What You Will Do

The AI/Data Consultant supports the design, development, and delivery of data‑driven and AI‑enabled solutions for clients. This role focuses on hands‑on analytics, data engineering, and applied AI use cases while building consulting, client‑facing, and technical fundamentals.

Key Responsibilities

  • Support development of AI and data solutions including analytics pipelines, dashboards, and basic machine learning models
  • Develop, test, and tune fraud and FinCrime prevention and detection rules in a variety of programming languages
  • Analyze structured and unstructured datasets to generate actionable insights
  • Assist in data preparation, feature engineering, and model validation
  • Translate business requirements into technical specifications under guidance
  • Contribute to client deliverables, documentation, and presentations
  • Collaborate with data engineers, data scientists, and business stakeholders
  • Apply responsible AI, data governance, and security principles in delivery

What You Will Need:

  • Bachelor’s degree from an accredited college/university
  • Based on our contractual obligations, candidate must be located within the United States and US Citizen
  • Must be able to OBTAIN and MAINTAIN a Federal or DoD "PUBLIC TRUST"
  • 1 years of experience in data analytics, data engineering, or data science (6 months of relative intern experience may be used as part of the 1 years required experience)
  • Strong proficiency and development experience in Python and SQL
  • Proficiency working with various data structure formats (CSV/TXT, JSON, XML, Parquet, etc.)
  • Experience with data visualization tools (PowerBI, Tableau, Looker, etc.)
  • Exposure to cloud platforms (AWS, Azure, or GCP)
  • Strong analytical, problem‑solving, and communication skills
  • Preference will be given to candidates located in the DMV
  • Travel will be 25-50% for candidates not located in the DMV

What Would Be Nice to Have:

  • Familiarity with R a plus
  • Exposure to ML libraries (scikit‑learn, TensorFlow, PyTorch)
  • Experience building fraud and/or fincrime monitoring rules in one or more programming languages
  • Hands‑on experience developing, testing, and validating machine learning and other AI models at scale
  • Experience with platforms such as Databricks or Palantir
  • Consulting, healthcare, financial services, or public sector experience
  • Federal Agency experience
  • LexisNexis product API integration experience
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.

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Marcus Rivera

Chief Revenue Officer

m.rivera@company.com
linkedin.com/in/marcusrivera
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