AI & ML - Analytics Intern
Veröffentlicht:
21 September 2024Pensum:
100%Vertrag:
Festanstellung- Arbeitsort:Barcelona
AstraZeneca is an innovation-driven global biopharmaceutical company focused on the discovery, development and commercialization of prescription medicines, primarily for the treatment of cardiovascular, renal and metabolic, respiratory and immunological, oncological and rare diseases.
In line with our firm commitment to training and developing exceptional talent, this person will join our IT Rare Disease Unit area to learn and grow through active collaboration with our Data Insights & Analytics team.
Conditions:
Duration: 1 year
Hours per day: Full time
Location: Barcelona
Focus area: Artificial Intelligence and Analytics
Training through practical experience:
As an AI & ML - Analytics Intern You will be fully engaged with our AI and Analytics team to support the development of AI and analytics solutions for multiple Alexion Business Units. Your role will involve collaborating in the implementation of Machine learning applications, even exploring and pioneering Generative AI, to drive innovation within Alexion, translating business needs into high value tools.
As part of your responsibilities, you may provide assistance in the following tasks:
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Data exploration and profiling.
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Feature engineering.
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AI model training and evaluation.
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ML Model deployment and pipeline orchestration.
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LLM prompt Engineering.
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Improve internal tools.
Requirements
You will need to have:
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Strong knowledge in AI/ML, Data Science.
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Capability to engage in business and data analysis/discovery.
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Programming skills in Python and common Data Science frameworks such as NumPy, pandas and scikit-learn.
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Understanding of relational databases and SQL language.
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Basic understanding of software development practices and Python programming.
We would prefer for you to have:
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Familiarity with deep learning frameworks such as pyTorch, TensorFlow and hugging-face.
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Knowledge of Agile methodologies and tools such as SCRUM and Jira.
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Proficiency in writing technical documentation and familiarity with tools like Confluence and Notion.
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Familiarity with Data Engineering methodologies and flows.
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Familiarity with CICD methodologies and tools such as Jenkins and GitHub Actions.
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Effective communication skills, with the ability to explain technical concepts in simple terms.
AstraZeneca embraces diversity and equality of opportunity. We are committed to building an inclusive and diverse team representing all backgrounds, with as wide a range of perspectives as possible, and harnessing industry-leading skills. We believe that the more inclusive we are, the better our work will be. We welcome and consider applications to join our team from all qualified candidates, regardless of their characteristics. We comply with all applicable laws and regulations on non-discrimination in employment (and recruitment), as well as work authorization and employment eligibility verification requirements.