Lead Data Scientist driving innovation in personalization and data insight generation for ESPN's streaming products. Providing technical leadership and overseeing data science projects in a collaborative environment.
About the role
- Data Scientist role optimizing business solutions through advanced data science and analytics. Join Costello Medical to lead initiatives and deliver meaningful outcomes in healthcare.
Responsibilities
- Turn ideas into actionable business value for Costello Medical and clients
- Shape and advance data science services
- Lead cross‑team initiatives
- Expand machine learning/AI offerings
- Manage databases
- Drive ideas forward and deliver meaningful outcomes
- Build bespoke web applications and interactive tools
- Collaborate with Statistics team to create apps that display analysis results
- Assist in automation of data extraction and report generation
- Develop databases and tools to facilitate data management
- Identify machine learning opportunities with clients
- Support data processing on RWE projects
- Provide visualisation of healthcare data across multiple teams
Requirements
- Experience working in a professional data science role in the healthcare sector
- A degree level or higher qualification in a STEM discipline (minimum 2.1)
- Expertise in programming languages (e.g. Python, R, SQL, HTML, CSS, Flask, SQL)
- Experience with the application of machine learning models and algorithms
- Knowledge and application of natural language processing techniques
- Excellent data visualisation skills
- A passion for working in, and making a difference to, the healthcare sector
- Strong business acumen
- The ability to collaborate effectively with key stakeholders
- The ability to adapt and work independently on projects that span several teams
- Experience in implementing new processes and systems to support data science approaches
- A willingness to learn new technologies
Benefits
- Discretionary profit share bonuses paid twice per year
- Hybrid and flexible working options
- Generous holiday allowance
- Private medical insurance
- Critical illness cover
- Income protection
- Full funding for external training
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