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Data Scientist

2 months ago

London, Greater London, United Kingdom ConvaTec Full time
About the Role

We are seeking a highly skilled Data Scientist to join our team at ConvaTec, a global medical products and technologies company. As a Data Scientist, you will play a key role in driving business value across various units within our organization by leveraging data science and Artificial Intelligence (AI) to drive business value.

Key Responsibilities:
  • Collaborate with stakeholders to identify potential use cases, define success metrics, and necessary datasets to align AI/Automation implementation with business needs and impact.
  • Work with Security, Compliance, Enterprise Architecture offices and the AI Steering Group Chair on AI ethics definition and alignment.
  • Identify and prioritize key areas for AI solutions with cross-functional teams to drive significant business benefits.
  • Assist in prioritizing quick-win initiatives based on technology adoption potential versus high business value.
  • Lead or assist teams in implementing AI use cases, with focus on out-the-box AI.
  • Actively code and deliver AI use cases when applicable.
  • Optimize AI models for performance, scalability, and efficiency, utilizing cloud-based resources and distributed computing frameworks.
  • Develop AI operational frameworks tailored to the organization's needs, workforce skills, and competencies.
  • Present findings to the executive leadership team to showcase the impact of delivered work.
  • Create delivery mechanisms for AI use cases while assisting in the formation of a Data Science team and AI Centre of Excellence.
  • Support technology implementation and define adoption strategies/pathways to facilitate process changes.
  • Prepare relevant project stage gate documentation.
  • Participate in the hiring process of relevant AI experts and train other team members.
  • Guide peers by conducting code reviews, sprint planning, and technical assessments of their analyses.
About You

We are looking for a highly skilled Data Scientist with a strong background in AI and data science. The ideal candidate will have:

  • Four or more years of experience in applying AI to practical, comprehensive technology solutions and consultancy.
  • Required: Bachelors degree in computer science, mathematics or similar engineering.
  • Preferred: Advanced degree (Master or in similar subjects)
  • Preferred: Certification in data science, machine learning and technologies
  • Required: Domain expertise in Machine Learning, Programming, Data Analysis & Management, Statistics and Vizulization.
  • Knowledge of basic algorithms, object-oriented and functional design principles, and best-practice patterns.
  • Experience in REST API development, NoSQL database design, and RDBMS design and optimizations.
  • Experience in implementing GenAI, NLP, computer vision, or other AI frameworks/technologies.
  • Proficiency with tools and technologies, including: LLMs and implementing RAG or different prompt strategies. Azure OpenAI, off-the-shelf platform native AI tools and models. Knowledge of ML pipeline orchestration tools. Proficiency in Python, with working knowledge of various supporting packages.
  • Strong experience in data engineering and aligned hyperscale platforms (, Databricks, Synapse, Fivetran).
  • Experience working in a regulated environment on personal data that is highly regulated (GxP validation, Computer Systems Validation).
Soft Skills

We are looking for a Data Scientist who is not only technically skilled but also has strong soft skills. The ideal candidate will have:

  • Advise IT leadership, C-suite executives, and business leaders on technology, strategy, and policy issues related to AI.
  • Experience working within the healthcare sector and knowledge of regulatory frameworks.
  • Strong communication skills for explaining technical concepts to non-technical stakeholders.
  • Ability to lead project teams and initiatives, work independently, and prioritize tasks effectively.
  • Experience in managing tactical project direction and delegating as necessary.