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Huron is a global consultancy that collaborates with clients to drive strategic growth, ignite innovation and navigate constant change. Through a combination of strategy, expertise and creativity, we help clients accelerate operational, digital and cultural transformation, enabling the change they need to own their future.

Join our team as the expert you are now and create your future.

Huron is a global consultancy that collaborates with clients to drive strategic growth, ignite innovation, and navigate constant change. We're seeking a Data Scientist to join the Data Science & Machine Learning team in our Commercial Digital practice, where you'll conduct advanced analytics and build predictive models that transform how Fortune 500 companies make decisions across Financial Services, Manufacturing, Energy & Utilities, and other commercial industries.

This isn't a reporting role or a dashboard factory—you'll own the full analytics lifecycle from hypothesis formulation through insight delivery. You'll work on problems that matter: experimental designs that validate business strategies, predictive models that surface hidden patterns in complex data, and analytical workflows that extract signal from unstructured text, images, and time-series. Our clients are Fortune 500 companies looking for partners who can find the signal in the noise and tell the story that drives action.

The variety is real. In your first year, you might conduct customer segmentation and lifetime value analysis for a financial services firm, design and analyze a pricing experiment for a global manufacturer, and build an anomaly detection model for a utility company's operational data. If you thrive on rigorous analysis, clear communication of complex findings, and rapid iteration, this role is for you.

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. Own the analytical approach and ensure conclusions are defensible.

+ **Develop both traditional statistical and modern AI-powered analyses** —including regression, classification, clustering, causal inference, A/B testing, and modern deep learning approaches using embeddings, transformer architectures, and foundation models for text, time-series, and multimodal analysis.

+ **Build predictive and prescriptive models** that drive business decisions—customer segmentation, churn prediction, demand forecasting, pricing optimization, risk scoring, and operational efficiency analysis for commercial enterprises.

+ **Rapidly build interactive data stories and applications** —deliver insights through compelling visualizations and user-friendly interfaces that stakeholders can explore.

+ **Translate complex analytical findings into actionable insights** —create compelling data narratives, develop presentation-ready deliverables, and communicate technical results to non-technical stakeholders in ways that drive decisions.

+ **Collaborate directly with clients and senior team members** —understand business problems, formulate the right analytical questions, and contribute to insights that create measurable value.

Required Qualifications

+ **2+ years of hands-on experience conducting data science and advanced analytics** —not just ad-hoc analysis, but structured analytical projects that drove business decisions. You've framed problems, developed hypotheses, analyzed data, and delivered insights that created measurable impact.

+ **Strong Python and SQL programming skills** with deep experience in the data science ecosystem (Pandas, NumPy, Scikit-learn, statsmodels, visualization libraries). Comfortable writing clean, reproducible code, not just notebooks.

+ **Solid foundation in statistics and machine learning** : hypothesis testing, regression analysis, classification, clustering, experimental design, and understanding of when different approaches are appropriate for different questions.

+ **Experience with deep learning and modern neural architectures** —understanding of transformer models, embeddings, and how to leverage foundation models for analytical tasks. You know when ML approaches add value over classical methods.

+ **Proficiency with data platforms** : Microsoft Fabric, Snowflake, Databricks, or similar cloud analytics environments. You're comfortable working with large datasets and can write efficient queries.

+ **Strong visualization and rapid data application development skills** —proficiency with programmatic visualization libraries (Plotly, Altair) and AI-assisted rapid application development using Cursor, Lovable, v0, or similar tools. You can quickly build interactive data interfaces that bring analyses to life.

+ **Ability to communicate technical concepts** to non-technical stakeholders and work effectively with cross-functional teams. Strong data storytelling skills are essential.

+ **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.

Preferred Qualifications

+ Experience in Financial Services, Manufacturing, or Energy & Utilities industries.

+ Background in experimental design, A/B testing, and causal inference methodologies—including propensity score matching, difference-in-differences, or instrumental variables.

+ Hands-on experience with deep learning frameworks (PyTorch, TensorFlow) and neural architectures—including transformers, attention mechanisms, and fine-tuning pretrained models for NLP, time-series, or tabular data applications.

+ Experience building AI-assisted analytical workflows—leveraging foundation model APIs, vector databases, and retrieval systems to accelerate insight extraction from unstructured data.

+ Experience with Bayesian methods, probabilistic programming (PyMC, NumPyro), or uncertainty quantification in business contexts.

+ Experience with time-series analysis, forecasting methods (ARIMA, Prophet, neural forecasting), 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 to new problem spaces.

+ Master's degree or PhD in Statistics, Applied Mathematics, Economics, or related quantitative field.

Why Huron

**Variety that accelerates your growth.** In consulting, you'll work across industries and analytical challenges that would take a decade to encounter at a single company. Our Commercial segment spans Financial Services, Manufacturing, Energy & Utilities, and more—each engagement is a new domain to master and a new problem to crack.

**Impact you can measure.** Our clients are Fortune 500 companies making significant investments in analytics and AI. The insights you generate will inform real decisions—pricing strategies, customer segmentation, operational improvements, strategic investments. You'll see your analysis drive outcomes.

**A team that thinks deeply.** Huron's Data Science & Machine Learning team is a close-knit group of practitioners, not just advisors. We develop hypotheses, analyze data, and deliver insights that hold up to scrutiny. You'll work alongside data scientists and engineers who care about getting the answer right and telling the story clearly.

**Investment in your development.** We provide resources for continuous learning, conference attendance, and certification. As our DSML practice grows, there's significant opportunity to take on technical leadership, shape our capabilities, and advance to senior roles.

Position Level

Associate

Country

United States of America

At Huron, we’re redefining what a consulting organization can be. We go beyond advice to deliver results that last. We inherit our client’s challenges as if they were our own. We help them transform for the future. We advocate. We make a difference. And we intelligently, passionately, relentlessly do great work…together.

Are you the kind of person who stands ready to jump in, roll up your sleeves and transform ideas into action? Then come discover Huron.

Whether you have years of experience or come right out of college, we invite you to explore our many opportunities. Find out how you can use your talents and develop your skills to make an impact immediately. Learn about how our culture and values provide you with the kind of environment that invites new ideas and innovation. Come see how we collaborate with each other in a culture of learning, coaching, diversity and inclusion. And hear about our unwavering commitment to make a difference in partnership with our clients, shareholders, communities and colleagues.

Huron Consulting Group offers a competitive compensation and benefits package including medical, dental, and vision coverage to employees and dependents; a 401(k) plan with a generous employer match; an employee stock purchase plan; a generous Paid Time Off policy; and paid parental leave and adoption assistance. Our Wellness Program supports employee total well-being by providing free annual health screenings and coaching, bank at work, and on-site workshops, as well as ongoing programs recognizing major events in the lives of our employees throughout the year. All benefits and programs are subject to applicable eligibility requirements.

Huron is fully committed to providing equal employment opportunity to job applicants and employees in recruitment, hiring, employment, compensation, benefits, promotions, transfers, training, and all other terms and conditions of employment. Huron will not discriminate on the basis of age, race, color, gender, marital status, sexual orientation, gender identity, pregnancy, national origin, religion, veteran status, physical or mental disability, genetic information, creed, citizenship or any other status protected by laws or regulations in the locations where we do business. We endeavor to maintain a drug-free workplace.