My client is seeking a passionate and forward-thinking GenAI Data Scientist to support company's key business initiatives and projects. He or she will be responsible for curating and developing technical capabilities for the Data Science Team, from gate-keeping the choice of technologies to the implementation of technical solutions.
The right person for this role will be someone who has experience in driving scalable technical solutions in data and AI projects. The ideal candidate ought to be open-minded, have good interpersonal skills, supportive of the development of the team and can drive business objectives through collaboration. The candidate should be a hands-on thought leader, capable of both high-level strategic thinking and hands on ability to execute.
Requirements:
- Master's or PhD in Computer Science, Data Science, Statistics, Mathematics, Engineering, or related discipline
- 10+ years of relevant experience, at least 1 year in GenAI
- Excellent analytical capability and understanding of various AI and analytical techniques
- Proficiency in Python, SQL, Azure Cloud (or other cloud providers), secure provisioning on AOAI, API servicing (Docker, Kubernetes), big data open-source solutions such as Spark
- Knowledge and experience of Software Development best practices (CI/CD pipelines, version control, etc)
- Demonstrated skill, comfort, and success in leading teams to deliver on AI and analytics projects.
- A track record of using quantitative analysis to inform commercialization decisions and product roadmaps.
- Demonstrated business acumen, analytical skills and ability to link strategies to business priorities and initiatives.
- Proven track record of delivering results in a dynamic high-growth environment with aggressive timelines.
- Ability to proactively identify gap and address AI and data analytics related issues
- Ability to learn and adapt quickly to new business domains and technologies.
- Ability to conceptualize and articulate ideas clearly and concisely.
- Hands-on experience with modern enterprise data architecture and data science toolkits.
- Sound problem solving and decision-making ability
- Proven ability to identify innovation opportunities, define and deliver innovative business function
- Ability to work independently and with team members from different backgrounds
- Sound business knowledge in banking/ insurance/ financial service industry
- Excellent communication, presentation, consultative and interpersonal skills
Please note that only shortlisted candidates will be notified. All information gathered will be treated in strict confidentiality and solely used for recruitment purpose.
