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  "job_title": "Data & AI Scientist",
  "job_country": "GB",
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  "job_location": "Bristol",
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  "employer_name": "Lloyds Banking Group",
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  "job_posted_at": "10 days ago",
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  "job_description": "Experteer Overview\nAs Data & AI Scientist you will lead the application of foundation models and autonomous agents to solve complex business problems. You’ll work closely with engineering and product teams to deploy AI solutions at scale, guiding models from development to production. The role offers visibility across cross‑functional initiatives and a chance to shape AI strategy within a major financial services group. You’ll leverage modern cloud and MLOps practices to deliver measurable impact while mentoring others. This is a hands-on, impact‑driven opportunity to advance Lloyds’ AI capabilities.\n\nPay / Benefits\n• Design and implement solutions using foundation models for summarization, Q&A, classification, and generation\n• Evaluate model performance, fine-tune models, and apply prompt engineering\n• Build and deploy autonomous agents capable of reasoning and interacting with APIs/tools\n• Develop and deploy supervised/unsupervised ML models using scalable pipelines\n• Integrate ML models into production environments using CI/CD and containers\n• Build robust Python applications for data processing, model training, and inference\n• Collaborate with ML Engineers to ensure seamless AI integration\n• Lead code reviews and mentor junior developers on best practices\n• Cloud-focused: build/deploy AI/ML solutions on GCP with tools like Vertex AI, BigQuery, Cloud Functions\n• Mentor junior data scientists and engineers in AI techniques and best practices\n• Collaborate cross-functionally to align AI initiatives with strategic goals\n\nTasks\n• Master’s or PhD in Computer Science, AI, Data Science, or a related field or equivalent experience\n• 3+ years in data science or AI roles with hands-on foundation models and agent-based systems\n• Proficiency in Python and ML frameworks (PyTorch, TensorFlow, Hugging Face Transformers)\n• Experience with LangChain, AutoGen, or similar agentic frameworks\n• Strong understanding of cloud platforms (GCP preferred)\n• Excellent communication and leadership skills\n\nKey requirements\n• generous pension contribution up to 15%\n• annual performance-related bonus\n• share schemes including free shares\n• discounted shopping\n• 30 days’ holiday plus bank holidays\n• wellbeing initiatives and parental leave policies",
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  "employer_website": "https://www.lloydsbankinggroup.com",
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  "job_posted_at_datetime_utc": "2026-03-11T00:00:00.000Z"
}