EY Senior Consultant AI Engineer & Data UKI 

United Kingdom, England, London 

886752519

Your client impact

• Design, 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
• Deep 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
• Translate business requirements into technical AI/ML features, model selection, architecture decisions
• Conduct exploratory data analysis and communicate insights to stakeholders
• 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 optimization, customer segmentation, and revenue management

• Develop scalable AI/ML pipelines on Databricks, Azure Machine Learning, and/or Snowflake platforms

• Contribute to proposals and technical assessments for new opportunities

Required Qualifications

• Essential: Strong level of hands-on experience developing and deploying machine learning models in production environments
• Essential: Proven experience building and implementing LLM-based solutions (GPT, Claude, Llama, Mistral, or similar)
• Deep understanding of machine learning algorithms including supervised, unsupervised, and reinforcement learning approaches
• Strong proficiency in statistical modeling, time-series forecasting, and predictive analytics
• Experience with deep learning frameworks (TensorFlow, PyTorch, Keras)
• Knowledge of prompt engineering, RAG (Retrieval Augmented Generation), and LLM fine-tuning techniques
• Understanding of natural language processing, computer vision, and recommender systems

• Essential: Hands-on experience with at least one of: Databricks (MLflow, AutoML), Azure Machine Learning, or Snowflake (Snowpark ML, Cortex)
• Strong programming skills in Python and proficiency with ML libraries (scikit-learn, pandas, NumPy, XGBoost, LightGBM)
• Familiarity with distributed computing frameworks (Spark, Dask, Ray)
• 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

Preferred Experience

• Finance Forecasting: Revenue prediction, cashflow modeling, financial planning, risk modeling
• Energy Optimization: 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 modeling

Preferred Qualifications

• Advanced degree (Master's or PhD) in Computer Science, Data Science, Statistics, Mathematics, Engineering, or related quantitative field
• Big 4 or tier-1 consulting firm experience
• 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
• Experience with generative AI platforms (Azure OpenAI, AWS Bedrock, Vertex AI)
• Knowledge of graph neural networks, reinforcement learning, or causal inference
• Experience with AI governance, model risk management, and regulatory compliance