Huron Consulting Group Inc. is hiring a Data Scientist (Associate) for its Data Science & Machine Learning team within the Commercial Digital practice. In this role, you will conduct advanced analytics and build predictive models for Fortune 500 clients across Financial Services, Manufacturing, Energy & Utilities, and other commercial industries. You will own the full analytics lifecycle from hypothesis formulation through insight delivery.

What You'll Do

Design and execute end-to-end data science workflows from problem framing and hypothesis development through exploratory analysis, modeling, validation, and insight delivery.
Develop both traditional statistical and modern AI-powered analyses including regression, classification, clustering, causal inference, A/B testing, and modern deep learning approaches.
Build predictive and prescriptive models that drive business decisions such as customer segmentation, churn prediction, demand forecasting, pricing optimization, risk scoring, and operational efficiency analysis.
Rapidly build interactive data stories and applications through compelling visualizations and user-friendly interfaces for stakeholders.
Translate complex analytical findings into actionable insights and communicate technical results to non-technical stakeholders.
Collaborate directly with clients and senior team members to understand business problems and formulate analytical questions.

What We're Looking For

2+ years of hands-on experience conducting data science and advanced analytics on structured projects that drove business decisions.
Strong Python and SQL programming skills with deep experience in Pandas, NumPy, Scikit-learn, statsmodels, and visualization libraries.
Solid foundation in statistics and machine learning: hypothesis testing, regression analysis, classification, clustering, and experimental design.
Experience with deep learning and modern neural architectures including transformer models, embeddings, and leveraging foundation models.
Proficiency with data platforms: Microsoft Fabric, Snowflake, Databricks, or similar cloud analytics environments.
Strong visualization and rapid data application development skills with programmatic visualization libraries and AI-assisted rapid application tools.
Ability to communicate technical concepts to non-technical stakeholders and work effectively with cross-functional teams.
Bachelor's degree in Statistics, Mathematics, Economics, Computer Science, or related quantitative field (or equivalent practical experience).
Willingness to travel approximately 30% to client sites as needed.

Nice to Have

Experience in Financial Services, Manufacturing, or Energy & Utilities industries.
Background in experimental design, A/B testing, and causal inference methodologies.
Hands-on experience with deep learning frameworks (PyTorch, TensorFlow) and neural architectures.
Experience building AI-assisted analytical workflows leveraging foundation model APIs, vector databases, and retrieval systems.
Experience with Bayesian methods, probabilistic programming, or uncertainty quantification in business contexts.
Experience with time-series analysis, forecasting methods, and demand planning applications.
Cloud certifications (Azure Data Scientist, Databricks ML Associate, AWS ML Specialty).
Consulting experience or demonstrated ability to work across multiple domains and adapt quickly.
Master's degree or PhD in Statistics, Applied Mathematics, Economics, or related quantitative field.

Technical Stack

Python, SQL, Pandas, NumPy, Scikit-learn, statsmodels, Plotly, Altair
Microsoft Fabric, Snowflake, Databricks
PyTorch, TensorFlow, PyMC, NumPyro

Team & Environment

You will join the Data Science & Machine Learning team within the Commercial Digital practice. This is a close-knit team of practitioners who care about getting the answer right and telling the story clearly, with a focus on rigorous analysis, clear communication, and rapid iteration.

Benefits & Compensation

Variety of work across industries and analytical challenges.
Opportunity to see your analysis drive real business outcomes.
Investment in your development with resources for continuous learning, conference attendance, and certification.
Opportunity for technical leadership and advancement to senior roles.