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. Ready to join our Commercial Digital Practice? We're seeking a Data Scientist to join the Data Science & Machine Learning team, 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 analyse 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. Your Role:Data Scientist Design and execute end-to-end data science workflows -from problem framing and hypothesis development through exploratory analysis, modelling, 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. The Profile We're Looking For: The skills/background you will need to succeed include: Education:Bachelor's Degree in Statistics, Mathematics, Economics, Computer Science, or related quantitative field (or equivalent practical experience). Masters Degree or PhD preferred. Experience: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, analysed data, and delivered insights that created measurable impact. Background & Industry Experience:Consulting experience or a demonstrated ability to work across multiple domains, and to adapt quickly to new problem spaces. Experience inFinancial Services, Manufacturing, or Energy & Utilities industries would be preferred. Programming Skills:Strong Python and SQL experience, with deep experience in the data science ecosystem (Pandas, NumPy, Scikit-learn, statsmodels, visualization libraries). Comfortable writing clean, reproducible code, not just notebooks. Statistics & Machine Learning Foundation: Hypothesis testing, regression analysis, classification, clustering, experimental design, and understanding of when different approaches are appropriate for different questions. Deep Learning & 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. Data Platforms:Proficient with Microsoft Fabric, Snowflake, Databricks, or similar cloud analytics environments. You should also be comfortable working with large datasets and writing queries. Visualisation & Rapid Data Application Development: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. Client-Facing & Communication Skills:Ability to communicate technical concepts to non-technical stakeholders and work effectively with cross-functional teams. Strong data storytelling skills are essential. Onsite Engagement: The role is primarily based in Belfast, although you may travel to client sites periodically for critical, high-impact project milestones. This includes strategic kick-off meetings to build rapport, intensive design workshops for complex problem-solving, and crucial on-site support during the go-live phase. This blended approach ensures the efficiency of off-shore work is complemented by the invaluable connection of face-to-face interaction. Certifications: Azure Data Scientist, Databricks ML Associate, AWS ML Specialty (preferred). Preferred Criteria: 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. Equal Opportunity & Compliance Huron is an equal opportunity employer. We are committed to creating an inclusive and diverse workplace. All employment decisions are made without regard to race, colour, religion, gender, sexual orientation, gender identity or expression, national origin, age, disability, or any other legally protected status. In connection with your application, we will process your personal data in accordance with our privacy policy. Position Level:Associate or Senior Associate Skills: Python SQL Snowflake Databricks Financial Services Energy Manufacturing Benefits: Healthcare Dental Bonus Hybrid Travel Income Protection
