world. Data Analytics & AI - Data Science & AI - Senior Consultant EY exists to build a better working world. We empower our people by offering the culture, tech, teams, scale, challenges, learning, and the relationships for you to personalise and build your career, helping to create long-term value for clients, people and society and build trust in the capital markets. … anomalies that can inform business strategies. Statistical Modeling : The ability to applying statistical techniques to extract insights, build predictive models, interpret data, and support data driven decision making. Machine Learning and AI Model End to End Management : The ability to build and manage the full lifecycle of ML models including development, validation, deployment, and monitoring in production environments. Collaboration … The ability to work closely with cross-functional teams to develop, test, and deploy advanced machine learning models, ensuring alignment with business objectives and seamless integration into client operations. Communication : The skill to effectively communicate complex analytical findings and model results to stakeholders, translating data-driven insights into business language that informs decision-making. Continuous Learning : The ability More ❯
data to solve complex problems and drive business outcomes. Your key responsibilities Collaboration: The ability to work closely with cross-functional teams to develop, test, and deploy advanced machine learning models, ensuring alignment with business objectives and seamless integration into client operations. Data Analysis: The capability to analyse large and complex datasets to extract actionable insights. Your analytical skills … our data infrastructure. Communication: The skill to effectively communicate complex analytical findings and model results to stakeholders, translating data-driven insights into business language that informs decision-making. Continuous Learning: The ability to stay informed of the latest advancements in data science, including techniques and tools, to ensure our team remains at the cutting edge of the field. Understand … help to articulate and quantify the value that data and AI can deliver. Skills and attributes for success To qualify for the role; Experience in building and deploying machine learning or deeplearning models in real-world applications. A completed degree (bachelors, masters, or PhD). Excellent leadership and organisational skills, with a track record of developing More ❯
and build on continued success on a global scale. Your key responsibilities Collaboration: The ability to work closely with cross-functional teams to develop, test, and deploy advanced machine learning models, ensuring alignment with business objectives and seamless integration into client operations. Data Analysis: The capability to analyse large and complex datasets to extract actionable insights. Your analytical skills … our data infrastructure. Communication: The skill to effectively communicate complex analytical findings and model results to stakeholders, translating data-driven insights into business language that informs decision-making. Continuous Learning: The ability to stay informed of the latest advancements in data science, including techniques and tools, to ensure our team remains at the cutting edge of the field. Skills … and attributes for success To qualify for the role; Experience: 3 years of hands-on experience in building and deploying machine learning or deeplearning models in real-world applications. Technical Expertise: Proficiency in Python, SQL, and deeplearning frameworks such as TensorFlow and PyTorch. Experience with R is a nice-to-have. Foundational Knowledge More ❯
and help to build a better working world. Location : London Position Overview We are seeking a highly skilled AI Engineer with proven expertise in developing and deploying advanced machine learning and large language model (LLM) solutions that drive measurable business impact. This role requires hands-on experience building AI models across diverse use cases including finance forecasting, energy optimization … predictive maintenance, supply chain planning, and commercial transformation, leveraging modern cloud-based AI platforms. 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 … 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 learningMore ❯