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Phd Machine Learning Jobs in Indiana (NOW HIRING)

... machine learning, and AI models deployed in federal environments. You will lead model validation ... Master's degree or PhD in a quantitative or technical discipline What We Offer: Guidehouse offers a ...

... machine learning, and AI models deployed in federal environments. You will lead model validation ... Master's degree or PhD in a quantitative or technical discipline What We Offer: Guidehouse offers a ...

Apply a broad range of techniques and theories from statistics, machine learning, and business ... PhD preferred. this is a fixed fee project for the duration of 9 weeks. Thanks & Regards! Parthu ...

Requires a Bachelor's degree in Statistics, Computer Science, Mathematics, Machine Learning ... PhD and experience in the healthcare sector preferred. Please be advised that Elevance Health only ...

Requires a Bachelor's degree in Statistics, Computer Science, Mathematics, Machine Learning ... PhD and experience in the healthcare sector preferred. Job Level: Non-Management Exempt Workshift:

Requires a Bachelor's degree in Statistics, Computer Science, Mathematics, Machine Learning ... PhD and experience in the healthcare sector preferred. Job Level: Non-Management Exempt Workshift:

Requires a Bachelor's degree in Statistics, Computer Science, Mathematics, Machine Learning ... PhD and experience in the healthcare sector preferred. Please be advised that Elevance Health only ...

Foster a culture of scientific rigor, continuous learning, and advanced experimental design across ... PhD in Materials Science, Polymer Chemistry, Physical Chemistry, or a closely related highly ...

Foster a culture of scientific rigor, continuous learning, and advanced experimental design across ... PhD in Materials Science, Polymer Chemistry, Physical Chemistry, or a closely related highly ...

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Phd Machine Learning information

See Indiana salary details

$13

$21

$29

How much do phd machine learning jobs pay per hour?

As of Jul 15, 2026, the average hourly pay for phd machine learning in Indiana is $21.72, according to ZipRecruiter salary data. Most workers in this role earn between $18.75 and $24.23 per hour, depending on experience, location, and employer.

What is a PhD in Machine Learning?

A PhD in Machine Learning is an advanced doctoral degree focused on developing new algorithms, theories, and applications in the field of machine learning. Graduates typically conduct original research, contribute to academic publications, and often specialize in areas like deep learning, reinforcement learning, or probabilistic modeling. This degree prepares individuals for careers in academia, industry research labs, or leadership roles in tech companies. The program usually involves coursework, comprehensive exams, and the completion of a dissertation based on novel research.

What are the key skills and qualifications needed to thrive as a PhD-level Machine Learning professional, and why are they important?

To thrive as a PhD-level Machine Learning professional, you need deep expertise in mathematics, statistics, computer science, and advanced machine learning algorithms, typically supported by a doctoral degree. Proficiency with programming languages like Python or R, machine learning frameworks such as TensorFlow or PyTorch, and experience with large-scale data systems are essential. Strong problem-solving skills, critical thinking, and effective communication set outstanding candidates apart by enabling them to tackle complex research challenges and collaborate across teams. These skills and qualities are crucial for driving innovation, publishing research, and developing impactful machine learning solutions.

What are some common challenges faced by PhD-level professionals in machine learning when transitioning from academia to industry roles?

PhD graduates in machine learning often encounter challenges such as adapting to faster-paced project timelines, aligning research with business objectives, and collaborating in multidisciplinary teams. Unlike academia, where projects can be exploratory and long-term, industry roles usually require actionable results within shorter deadlines. Additionally, communicating complex technical ideas to non-technical stakeholders and prioritizing practical solutions over theoretical novelty are key adjustments. However, these challenges also present opportunities for professional growth and broader impact.

What is the difference between Phd Machine Learning vs Data Scientist?

AspectPhd Machine LearningData Scientist
Required CredentialsPhD in Computer Science, AI, or related fieldBachelor's or Master's in Data Science, Statistics, or related field
Work EnvironmentResearch labs, academia, R&D departmentsBusiness, tech companies, analytics teams
Industry UsageResearch-focused roles, advanced algorithm developmentData analysis, model building, business insights
Common Search/ComparisonYesYes

While both roles involve working with data and algorithms, a Phd Machine Learning typically focuses on research, developing new models, and theoretical work, often in academic or R&D settings. A Data Scientist applies these techniques to solve practical business problems, analyze data, and generate insights in industry environments.

Infographic showing various Phd Machine Learning job openings in Indiana as of July 2026, with employment types broken down into 1% As Needed, 73% Full Time, 24% Part Time, 1% Temporary, and 1% Contract. Highlights an 89% Physical, 1% Hybrid, and 10% Remote job distribution, with an average salary of $45,169 per year, or $21.7 per hour.
Model Validation Lead

Model Validation Lead

Guidehouse

Indianapolis, IN

Full-time

Medical, Dental, Vision, Life, Retirement

Re-posted 23 days ago


Guidehouse rating

7.5

Company rating: 7.5 out of 10

Based on 26 frontline employees who took The Breakroom Quiz

37th of 58 rated business consultants


Job description

Job Family:

Data Science Consulting


Travel Required:

Up to 25%


Clearance Required:

Active Secret

What You Will Do

As a Model Validation Lead, you will provide technical and programmatic leadership for the independent validation, governance, and risk management of advanced analytics, machine learning, and AI models deployed in federal environments. You will lead model validation efforts supporting missioncritical use cases across defense and federal financial domains, ensuring models are sound, explainable, compliant, and operationally fit for purpose.

You will work closely with data scientists, MLOps engineers, system owners, risk stakeholders, and government counterparts to define validation standards, execute reviews, and ensure alignment with federal, DoD, and financial governance expectations.

Key responsibilities include:

  • Lead endtoend model validation activities for ML, AI, and advanced analytical models

  • Define and oversee validation frameworks covering conceptual soundness, data integrity, methodology, performance, bias, and stability

  • Review and challenge model assumptions, feature engineering, training approaches, and performance metrics

  • Assess model robustness, sensitivity, and limitations across operational scenarios

  • Evaluate model explainability, transparency, and interpretability for technical and nontechnical stakeholders

  • Partner with MLOps and engineering teams to ensure models are productionready and compliant with governance requirements

  • Establish validation documentation standards, review artifacts, and approval processes

  • Support audits, reviews, and governance forums related to AI/ML risk and compliance

  • Advise clients on model risk management, AI governance, and responsible AI practices

  • Mentor junior staff and serve as a technical authority within analytics and AI engagements

What You Will Need
  • An ACTIVE and MAINTAINED "SECRET" Federal or DoD security clearance.

  • Bachelor's degree in Mathematics, Statistics, Computer Science, Engineering, Economics, or a related quantitative field

  • FIVE (5) or more years of experience in model validation, model risk management, data science, quantitative analysis, or advanced analytics

  • Experience validating ML, statistical, and predictive models in regulated or highrisk environments

  • Experience in Python and analytics tooling used to assess, test, and challenge models

  • Experience working with largescale datasets and complex analytical pipelines

  • Experience leading small teams or workstreams and interfacing directly with senior stakeholders

What Would Be Great to Have
  • Strong understanding of model risk management concepts, including governance, documentation, and independent review

  • Experience supporting the Department of Defense, including exposure to Advana or enterprise analytics platforms

  • Handson experience validating models using federal financial, budgetary, accounting, or audit data

  • Experience validating models deployed on Databricks (e.g., Spark, MLflow)

  • Ability to translate technical findings into clear, defensible conclusions for government and executive audiences

  • Exposure to models developed or operationalized in Palantir Foundry

  • Familiarity with MLOps practices and how validation integrates into CI/CD pipelines

  • Experience in Azure Government, AWS GovCloud, or other regulated cloud environments

  • Knowledge of Responsible AI, fairness, bias detection, and explainability techniques

  • Experience supporting internal or external audits of AI/ML systems

  • Master's degree or PhD in a quantitative or technical discipline


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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