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EY INV Senior Consultant AI Engineer & Data UKI Northern 
United Kingdom, Northern Ireland, Belfast 
57648634

Yesterday

Your client impact

  • Develop, and deploy end-to-end machine learning models for complex business problems across forecasting, optimization, and prediction domains
  • Build and fine-tune large language models (LLMs) for enterprise applications including document intelligence, conversational AI, and decision support systems
  • Substantial understanding of solving data science and AI enabled problems in supply chain, finance, commercial or operations domain or AI agents with reasoning capabilities using LLMs
  • Adapt to a wide range of technical challenges across technologies to design a solution applicable to the business issue
  • Translate business requirements into technical AI/ML features, model selection, architecture decisions
  • Conduct exploratory data analysis and communicate insights
  • Collaborate with data engineers, architects, and business analysts on integrated solutions
  • Build feature engineering pipelines and automated data preparation workflows
  • Design AI solutions for commercial transformation including pricing optimisation, customer segmentation, and revenue management
  • Develop scalable AI/ML pipelines on Databricks, Azure Machine Learning, and/or Snowflake platforms
  • Deploy and manage agentic AI and automation solutions, ensuring continuous learning, adaptation, and improvement in live business environments.
  • Contribute to proposals and technical assessments for new opportunities and internal knowledge transfer

Essential Qualifications

  • Degree or equivalent certification in Computer Science, Data Science, Statistics, Mathematics, Engineering, or related quantitative field

Essential Criteria

  • Experience designing and delivering solutions using large language models (e.g., GPT, Claude, Llama, Mistral or similar)
  • Practical exposure to at least one modern AI/ML platform such as Databricks (MLflow, AutoML), Azure Machine Learning, or Snowflake (Snowpark ML, Cortex)
  • Understanding of natural language processing, computer vision, and recommender systems
  • Strong programming skills in Python, SQL and proficiency with ML libraries (e.g. scikit-learn, pandas, NumPy, XGBoost, LightGBM)

Soft skills

  • Strong analytical and problem-solving mindset with attention to detail
  • Ability to work independently and drive projects from ambiguous requirements
  • Story telling with data and insights from the outputs
  • Consulting skills, supporting development of presentation decks and communication

Experience or knowledge covering at least
of the following areas:

  • Good knowledge of key machine learning techniques, including supervised, unsupervised, and reinforcement learning
  • Experience applying statistical modelling, time-series forecasting, and predictive analytics in practical scenarios
  • Experience with deep learning frameworks (e.g. TensorFlow, PyTorch, Keras)
  • Knowledge of prompt engineering, RAG (Retrieval Augmented Generation), and LLM fine-tuning techniques
  • Familiarity with distributed computing frameworks (e.g. Spark)
  • Knowledge of graph neural networks, reinforcement learning, or causal inference
  • Experience with AI governance, model risk management, and regulatory compliance
  • Experience using Pro code and Low code tools such as LangGraph, UiPath, AutoGen, Semantic Kernal, and MS CoPilot and Power Platform
  • Experience in any of the following:
    • Finance Forecasting: Revenue prediction, cashflow modelling, financial planning, risk modelling
    • Energy Optimisation: Load forecasting, grid optimization, demand response, renewable energy prediction
    • Predictive Maintenance: Equipment failure prediction, anomaly detection, remaining useful life estimation
    • Supply Chain Planning: Demand forecasting, inventory optimization, logistics planning, procurement analytics
    • Commercial Transformation: Price optimization, customer lifetime value, churn prediction, marketing mix modelling

Preferred Qualifications

  • Certifications such as:
    • Databricks Certified Machine Learning Professional
    • Azure AI Engineer Associate or Data Scientist Associate
    • SnowPro Advanced: Data Scientist
    • AWS Certified Machine Learning – Specialty
    • UiPath AI Associate Developer