AI Consultant

About the role

We are looking for an AI Consultant to support advanced analytics and machine learning initiatives for a Hi Tech Engineering organization in Des Moines, Iowa. This Long-term Contract position will partner closely with business and technical stakeholders to turn complex questions into practical, data-driven solutions while strengthening internal AI and analytics capabilities.

Responsibilities

• Partner with stakeholders to define business objectives and convert them into actionable AI, machine learning, and advanced analytics plans.
• Build, review, and refine Python-based analysis using appropriate methods for data preparation, modeling, statistical evaluation, and insight generation.
• Examine large and complex datasets to uncover anomalies, trends, outliers, and other meaningful patterns that inform decision-making.
• Assess existing analytical and machine learning models, recommend suitable algorithms, and outline practical next steps for improvement.
• Evaluate anomaly detection methods and suggest alternative techniques when current approaches do not align with the data or business need.
• Advise on forecasting and predictive modeling strategies by selecting methodologies that best fit available data and intended outcomes.
• Validate data quality and determine whether datasets are suitable for machine learning, predictive analytics, or traditional analytical methods.
• Work alongside the internal data analyst to troubleshoot analytical work, expand team knowledge, and strengthen overall AI and ML capabilities.
• Communicate technical findings and methodological recommendations clearly to both technical audiences and non-technical stakeholders, including client-facing discussions.

Requirements

• At least 1 year of experience in AI, machine learning, advanced analytics, or a closely related consulting role.
• Strong hands-on Python skills with experience in data analysis, statistical modeling, machine learning, and data manipulation.
• Practical experience with Python libraries such as Pandas, NumPy, scikit-learn, SciPy, statsmodels, or similar data science tools.
• Knowledge of anomaly detection, predictive modeling, time-series analysis, statistical forecasting, and model evaluation techniques.
• Ability to determine when AI or machine learning is the right solution and when a traditional statistical approach is more appropriate.
• Experience assessing model performance, reviewing analytical outputs, and improving existing Python-based work.
• Strong requirement-gathering and discovery skills with the ability to connect business problems to analytical solutions.
• Effective communication skills with the ability to explain AI and ML concepts to both technical and non-technical stakeholders.

Benefits

• Medical, vision, dental, and life and disability insurance available to contract/temporary professionals.
• Eligibility to enroll in the company 401(k) plan for hired contract/temporary professionals.