puestos de Corporate en Singapur
Data Scientist (Manager), Airport Operations Technology & Corporate IT
Changi Airport Group
Assistant Manager, Corporate Applications, Airport Operations Technology and...
Changi Airport Group
Event Executive [Corporate & IT Events | Bugis | Academy Courses] - 2310
The Supreme HR Advisory
Descubre más oportunidades que en ningún otro sitio. Accede a más vacantesSenior Legal Counsel | Corporate, M&A & Property Development - 0221
The Supreme HR Advisory
Junior/Mid-level Corporate Associate
Herbert Smith Freehills
Entra en contacto con cazatalentos para acceder a vacantes similaresAssistant Director, Group Digital & Technology
FRASERS PROPERTY CORPORATE SERVICES PTE. LTD.
Associate, Credit Execution and Credit Admin, GBM Corporate Banking
Scotiabank
Corporate Support Executive - Entry Level [PPA-002-15]
EQUE
Senior Corporate Secretarial Manager
COFCO International
Corporate Planning Executive | Degree in IT | Expo | 5 Days | Up To $4.5K + VB - 4461
THE SUPREME HR ADVISORY PTE. LTD.
Senior / Executive, Corporate Finance
Thomson Medical Pte Ltd
Banking: Corporate Planning- Senior Officer/AM (Open to other industries)
The Resolute Hunter Pte Ltd
Corporate Banking Relationship Manager(ARM to RM)|Wholesale Bank
GREENLANE PRIVATE LTD.
Corporate Solution Insurance Specialist
SP-Affluence
Corporate Planning Associate
LUCE MAINTENANCE GROUP PTE. LTD.
Senior / Executive, Corporate Communications and Community Relations
ST ANDREW'S MISSION HOSPITAL
Corporate and Business Development Manager
CAPALLIANZ HOLDINGS LIMITED
Software Developer (Salesforce Platform)
JULIAN GREY CORPORATE ADVISORY PTE. LTD.
Data Scientist (Manager), Airport Operations Technology & Corporate IT
Descripción de la vacante
A leading aviation consortium in Singapore is seeking a Data Scientist (Manager) to oversee data science projects, support AI training initiatives, and engage with stakeholders. The ideal candidate should have at least 5 years of experience in data science, strong skills in Python and SQL, and the ability to communicate technical insights effectively. This role supports the development of best practices in AI adoption within the organization.
Formación
- 5+ years of experience in data science with end-to-end project delivery.
- Proven technical guidance to junior data scientists.
- Ability to communicate findings to both technical and non-technical audiences.
Responsabilidades
- Deliver end-to-end data science projects.
- Collaborate with stakeholders to define requirements.
- Support AI education and training programmes.
Conocimientos
Educación
Herramientas
This role focuses primarily on data science development and delivery, while also supports AI enablement and training initiatives to build organisation‑wide AI awareness and adoption. The ideal candidate is hands‑on with data science projects, yet comfortable engaging stakeholders and helping to upskill colleagues in responsible and effective AI use.
- Deliver end‑to‑end data science projects, including data collection, processing, feature engineering, model building, testing, deployment, and monitoring.
- Collaborate with product owners, engineers, and business stakeholders to define requirements, translate needs into solutions, and ensure measurable impact.
- Perform exploratory data analysis and communicate findings to both technical and non-technical audiences.
- Design, build, and validate machine learning models and algorithms to support airport operations and business functions.
- Ensure quality, scalability, and responsible use of data science solutions.
- Provide technical guidance to one junior data scientist in the team.
- Support the design and delivery of AI awareness and training programmes to upskill staff across the organisation.
- Contribute to the development of best practices, guidelines, and governance for safe and responsible adoption of AI solutions.
- Keep abreast of emerging AI technologies, tools, and industry trends to share knowledge and inspire adoption.
- Work with business units to promote AI “smart adoption” and help staff better leverage AI‑driven tools in their work.
- Bachelor’s degree in Computer Science, Data Science, Statistics, or a related field. Master’s degree preferred.
- At least 5 years of experience in data science, with proven track record in delivering end‑to‑end projects.
- Strong proficiency in Python, SQL, and machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).
- Experience with data visualisation and communicating insights to non‑technical stakeholders.
- Knowledge of AI governance, ethics, or training design is a plus.
- Strong interpersonal and communication skills; able to collaborate across functions and engage diverse stakeholders.
* El índice de referencia salarialse calcula en base a los salarios que ofrecen los líderes de mercado en los correspondientes sectores. Su función es guiar a los miembros Prémium a la hora de evaluar las distintas ofertas disponibles y de negociar el sueldo. El índice de referencia no es el salario indicado directamente por la empresa en particular, que podría ser muy superior o inferior.