Aartificial intelligence, Amazon Athena, Amazon RedShift, Amazon Simple Storage Service (S3), AWS, Continuous Integration & Continuous Delivery - CI/CD, Data Analysis, Data pipelines, Data science techniques, DevSecOps, DynamoDB, Elasticsearch, ETL frameworks, Lambda, Leadership Skill, Machine learning techniques, SQL
The Position
As our new Lead Data Solutions Engineer, you will contribute to designing, implementing, and deploying analytics products based on latest advances in AI/ML, to create novel, world-leading solutions with broad applications within healthcare technology.
You will bring elements of appropriate data architecture and engineering, together with infrastructure teams, to translate data science solutions into highly available, scalable, reusable, consistent, secure, and enterprise-enabled systems, and platforms, specifically for applications of AI/ML.
Moreover, collaboratively with Data Scientists and ML Engineers, you will contribute to the development, validation, and deployment of AI/ML algorithms and models, and work closely with other engineers to build AI/ML-fueled products.
As a senior individual contributor, you will provide technical leadership and mentoring to team members and involve in supporting their career growth.
In this role you will:
You will work and collaborate in cross-functional teams with IT, machine learning engineers, and data scientists in application areas ranging from real-world data and omics to computer vision and natural language processing. The workplace is London, but flexible or remote work arrangements can be discussed.
Qualifications
You have either a MSc or a PhD degree with a few years of relevant experience. Degrees within computer science, mathematics, engineering, physics, statistics, or a related quantitative discipline are preferred.
Relevant experience includes:
As a person you ensure a healthy, engaging, and inclusive work environment. You have good interpersonal skills and are capable of building trust and relationships across functions and cultures. You demonstrate agility and adapt quickly to changes.
About the Department
The AI and Analytics team is part of Novo Nordisk’s Data Science division, where we apply sophisticated algorithms and machine learning techniques to some of the hardest problems in the discovery and development of new healthcare solutions. By leveraging a blend of scientific, problem-solving, and quantitative skills, we provide inspiring data insights that empower Novo Nordisk to further develop and deliver life-changing treatments. We work in multidisciplinary teams with strong collaboration, trust and support across all areas of the organization and engage in external collaborations to ensure access to cutting edge research and technology, helping each other grow, driven by the opportunity to make a difference in people’s lives.
Novo Nordisk A/S is a Danish multinational pharmaceutical company headquartered in Bagsværd, Denmark, with production facilities in eight countries, and affiliates or offices in five countries.
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