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AstraZeneca

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Insights & Analytics Senior Specialist

🗓️ Posted 2026-08-17 US - Gaithersburg - MD Full-time Hybrid ICT

Company shared salary

NA

Market rate

6,500 GBP–10,000 GBP/mo (78,000 GBP–120,000 GBP/yr)

Based on similar roles (title + domain + location).

Responsibilities

  • ● Translate business and scientific challenges into practical, scalable machine learning solutions
  • ● Contribute across the machine learning lifecycle, from understanding the problem and assessing available data to model development, deployment, monitoring, and continuous improvement
  • ● Work with stakeholders to understand business or scientific problems, assess whether machine learning is an appropriate approach, and define clear objectives, success measures, and delivery plans
  • ● Design, build, evaluate, and improve models using statistical and machine learning techniques
  • ● Apply modern approaches such as natural language processing, generative AI, and AI Agents/Workflows based on the problem being addressed
  • ● Ensure models can be packaged, deployed, integrated with relevant systems, monitored, and maintained over time
  • ● Contribute to the design of reliable and scalable AI architectures
  • ● Develop and deploy solutions using cloud platforms and technologies such as Docker, source control, automated testing, and continuous integration and delivery
  • ● Define data and model quality criteria, validate results, document assumptions, and consider issues such as explainability, bias, privacy, security, performance degradation, and responsible use of AI
  • ● Present technical findings and recommendations to both technical and non-technical audiences
  • ● Contribute to technical design discussions, code and model reviews, reusable components, engineering standards, and communities of practice
  • ● Provide guidance and informal mentoring to colleagues
  • ● Deliver work within agreed scope and priorities, influencing through technical expertise, collaboration, and sound judgement
  • ● Comply with applicable local policies, standards, regulatory expectations, and organizational requirements

Requirements

  • ● Bachelor's degree in Computer Science, Data Science, Artificial Intelligence, Engineering, Mathematics, Statistics, or a related discipline, or equivalent professional experience
  • ● At least five years of experience as a Data Scientist, Machine Learning Engineer, AI Engineer, or in a related role