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Insights & Analytics Senior Specialist
✓ This company has sponsored visas before. The posting doesn't say so, but it's still worth applying.
ICT
💰 Salary Not shared
📊 Market 6,500 GBP–10,000 GBP/mo (78,000 GBP–120,000 GBP/yr)
About the Company
We're transforming the future of healthcare by unlocking the power of what science can do for people, society and the planet. For more information, visit www.astrazeneca.com. Community Guidelines: bit.ly/2MgAcio Pharmaceutical Manufacturing Specialties: Pharmaceutical, Biopharmaceutical, Innovation, Research and development, Global business
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
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