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Lead a team of data scientists and AI engineers to design, build, and deploy AI solutions that drive business performance and operational efficiency using Python, SQL, and modern ML frameworks.
Build and deploy ML models to extract insights from financial data, collaborating with engineers to productionize solutions and drive business decisions.
Lead a team building generative AI and agentic systems for healthcare, including LLMs, RAG, and AI agents, from prototyping to production with MLOps and Responsible AI practices.
Design and deliver AI/ML-based decision-making frameworks and models using LLMs and Python to drive business outcomes.
Build predictive models and analyse marketing data to optimise ad campaigns for a London/Reading-based agency.
Build ML models and data pipelines to optimize retail decisions like personalization and real-time analytics using Python, Spark, and AWS.
Build and maintain APIs and MCP servers that expose ML models from Databricks to internal apps and AI agents, ensuring reliability, security, and scalability.
Build and deploy production-grade generative AI systems—LLMs, RAG, and AI agents—to automate document processing, customer support, and decision workflows in a regulated banking environment.
Senior Data Scientist builds and deploys ML models (Random Forest, Bayesian, geospatial) on Azure Databricks using R/SQL, then translates insights for government and healthcare clients.
Designs and analyzes experiments to validate AI models for content decisions at Prime Video, using causal inference and statistical modeling to guide investments and improve customer experience.
Build and deploy production-grade generative AI systems (LLMs, RAG, AI agents) for a large bank, focusing on NLP, document intelligence, and responsible AI in a regulated environment.
Build and deploy credit-risk models (scoring, ratings, capital reserves) using ML/AI on AWS, translating quantitative impacts for business stakeholders.
Build and deploy ML models (XGBoost, NLP, BERT, DNNs) to improve The Home Depot’s delivery experience, using Vertex AI pipelines and A/B testing.
Lead a data-science team building search and recommendation systems for The Home Depot’s online retail platform, using predictive/prescriptive modeling and tools like BigQuery, SQL, and Tableau.
Build and evaluate enterprise AI systems, including LLMs, voice agents, and multimodal models, using prompt engineering, fine-tuning, and reinforcement learning to improve reliability and customer impact.
A Senior Data Scientist at a fintech company builds and deploys ML models (e.g., pricing recommendations, deal win likelihood) for commercial banking using large datasets, while collaborating with product teams to shape AI-driven roadmaps and mentor junior colleagues.
Senior Data Scientist builds ML models and statistical algorithms to detect and analyze cybersecurity threats, working with Python, SQL, and graph analytics to clean data and create visualizations for both technical and non-technical teams.
Build and tune ML models (LLMs, CV) to extract insights from intelligence data for special operations decision-makers using Python, TensorFlow, and PyTorch.
Build and deploy AI/ML models to extract insights from complex datasets for government and defense clients using Python, TensorFlow, and cloud platforms like AWS or Azure.
Senior data scientist building predictive models and analytics for federal health organizations using Python, ML, and data pipelines to turn complex datasets into actionable insights.
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