Data Scientist

apartmentDHL Express placeToa Payoh scheduleFull-time calendar_month 

DHL Express - a company that connects people!

What makes DHL great? Our People! We know each employee’s individual contributions make us the #1 Express Delivery and Logistics Company in the world.

DHL Express is committed to maintaining an environment that empowers every team member to make the greatest possible impact on our business. Our corporate culture is about personal commitment – to our business, to each other and to our global communities.

DHL is dedicated to being a great place to work. Start YOUR career with DHL today!

Role Purpose

The Senior Data Scientist is a senior-level individual contributor and people lead role responsible for designing, developing, and deploying high‑quality data science and advanced AI solutions—including machine learning and Generative AI—that address complex business challenges.

The role requires strong technical capability, sound problem‑solving skills, and the ability to work effectively with diverse stakeholders to deliver measurable business outcomes.

This role will also contribute to the responsible adoption of Generative AI and emerging agentic AI patterns, ensuring solutions are scalable, well governed, and aligned with enterprise standards.

We are looking for a dynamic team player to join us at DHL Express Global Head Office located in Singapore.

How you will contribute to the success of DHL
  • Collaborate with stakeholders to identify opportunities and define data science and AI strategies, objectives, and priorities aligned with business needs.
  • Take ownership of the completeness, accuracy, and clarity of analytics and AI solution requirements.
  • Lead the development, validation, and deployment of predictive models, machine learning, and selected Generative AI solutions into production environments.
  • Apply appropriate techniques across classical ML, statistical modelling, and Generative AI (e.g. large language models, retrieval‑augmented generation) depending on the problem context.
  • Contribute to the design and implementation of AI‑enabled solutions that may include autonomous or semi‑autonomous agent workflows under defined guardrails.
  • Provide data science and AI input throughout the solution lifecycle, including design, development, implementation, monitoring, and service level performance of major analytics solutions.
  • Configure and implement data science and AI models using agreed technology components (e.g. Python‑based frameworks, ML platforms, GenAI services).
  • Support model performance monitoring, evaluation, and controls, including explainability, bias, and risk considerations where applicable.
  • Manage and prioritise multiple initiatives or deployments concurrently while maintaining quality and delivery standards.
  • Own analytics quality assurance and testing activities within the assigned domain.
  • Provide technical leadership, coaching, and mentorship to data scientists within product or solution delivery teams, including emerging AI capabilities.
  • Independently manage proof‑of‑concept initiatives or defined components of larger projects, including AI experiments and feasibility assessments.
  • Communicate data science and AI concepts, progress, and outcomes clearly to senior management and non‑technical stakeholders.
  • Stay abreast of advancements in data science, Generative AI, and agent‑based AI approaches, and assess their applicability to DHL’s business and operating environment.
What you bring
  • Minimally degree or equivalent in a quantitative or analytical field (e.g. Data Science, Computer Science, Engineering, Statistics, Mathematics, or related disciplines).
  • Preferably 7 years’ experience in data analytics, business intelligence, or data science, with exposure to production‑level solutions.
  • Strong practical experience applying statistical and machine learning techniques to real‑world business problems.
  • Hands‑on experience or strong working knowledge of Generative AI concepts and applications (e.g. large language models, prompt design, retrieval‑augmented generation, AI‑assisted automation).
  • Exposure to designing or integrating AI agents or workflow‑based AI systems is an advantage.
  • Proficiency in common data science tools and languages such as Python and SQL, and experience with data visualisation or reporting platforms.
  • Familiarity with Agile delivery approaches and DataOps, MLOps, or AI lifecycle management practices.
  • Ability to collaborate effectively with cross‑functional and geographically diverse teams.
  • Exposure to logistics operations, sales, customer management, pricing, finance, or customer service.
  • Strong communication skills, with the ability to explain technical and AI‑related concepts clearly and concisely.
  • A structured, analytical, and solution‑oriented mindset, with sound business awareness.

DHL is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other protected characteristic.

electric_boltImmediate start

Senior Data Scientist

apartmentMICRON SEMICONDUCTOR ASIA OPERATIONS PTE. LTD.placeYishun, 11 km from Toa Payoh
As a Data scientist at Micron Technology, Inc., you will report to the Smart Manufacturing and Artificial Intelligence organization. The team defines, develops, and delivers end to end smart manufacturing solution, integrated across functions...
starFeatured

Data Scientist

apartmentDHL ExpressplaceGeylang, 4 km from Toa Payoh
Start YOUR career with DHL today! Role Purpose The Senior Data Scientist is a senior-level individual contributor and people lead role responsible for designing, developing, and deploying high‑quality data science and advanced AI solutions—including...
business_centerHigh salary

Senior Data Scientist

apartmentHudsonplaceToa Payoh
it is now looking to hire an experienced Senior Data Scientist for its regional Data headquarter in Singapore. Requirements:  •  PhD or Master’s degree holder in the relevant field with minimum of 3 years of Data Science exposure in manufacturing/industrial...