Data Scientist II performing analytics and modeling to improve fraud strategies at Truist. Engaging with stakeholders and developing data - driven solutions for risk management and business outcomes.
About the role
- Data Science Manager leading AI/ML projects for Cencora, a global pharmaceutical company. Collaborating across teams to deliver analytics solutions and drive organizational goals.
Responsibilities
- Lead AI/ML Projects: Manage and deliver medium/large-scale AI/ML projects, from planning to execution, ensuring deliverables meet business needs.
- Provide Data Expertise: Act as the go-to expert on internal data resources, providing insights and recommendations to stakeholders.
- Lead Cross-Functional Collaboration: Partner with IT, project managers, and business teams to define requirements and implement solutions.
- Drive Process Improvement: Develop standardized protocols for data extraction, management, and quality assurance.
- Provide Team Leadership: Supervise and mentor junior team members, guiding their development and ensuring high-quality output.
- Provide Strategic Input: Contribute to the development of data management standards, prototypes, and reporting models to drive organizational goals.
- Deliver Presentations & Communication: Prepare compelling presentations to share insights with management and key stakeholders.
- Keep Abreast of Market Trends: Stay informed about industry trends, competitor activity, and developments in healthcare and logistics.
Requirements
- Minimum 3+ years of experience in AI/ML development roles including deploying solutions in a production environment
- Minimum of 2+ years of experience in leading small teams of data scientists
- Bachelor’s or master’s degree in a relevant discipline (e.g., Mathematics, Computer Science, Engineering, Economics)
- Requires training in fields such as Mathematics, Data Science, or Computer Science generally obtained through completion of a three/ four-year bachelor’s degree program
- Requires a minimum of four years direct progressively responsible experience in a data science field, ideally in a relevant sector – ideally logistics
- Proficiency in Python, AI/ML Frameworks, relational databases (e.g., Microsoft SQL Server)
- Strong experience with data visualization tools (e.g., Power BI)
- Experience with Databricks, Power Automate and Alteryx is considered a plus
Benefits
- Competitive annual bonus
- Life insurance from Day 1
- Best-in-class health insurance package
- Up to 6 fully paid benefit days a year
- Referral bonus scheme
- Boundless learning opportunities
- Global Employee Assistance Program
- Well-equipped office location with fresh snacks
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