Junior Data Scientist — AI & LLM for Supply Chain

Haskoning; Cilandak Timur; On-site; IDR 133,920,000 - 267,840,000; Full time

Benefits offered by this job

Flexible hours

Hybrid work model (partly remote)

Vacation days

Competitive salary

Job summary

Haskoning seeks a Junior Data Scientist to accelerate AI adoption within the Supply Chain & Logistics advisory group, building AI-enabled tools and solving client challenges.

You will work at the intersection of data science, optimization, software development, and AI innovation; collaborate with consultants and digital teams to turn ideas into practical solutions. The role emphasizes continuous learning and hands-on experimentation from day one.

Qualifications

• Master's degree in Data Science & AI or related field.
• Excellent English communication with 0–4 years of experience.
• Proficient in Python and SQL with strong analytical skills.
• Understanding of data pipelines and data modelling; knowledge of LLM concepts.
• Proactive attitude and eagerness to learn and inspire.

Responsibilities

• Identify, develop, and implement AI-driven solutions creating value for clients and internal teams.
• Drive AI and LLM initiatives; prototype and translate trends into practical applications.
• Develop AI-powered tools to improve efficiency and collaborate on workshops and training.
• Contribute to client projects in supply chain and logistics, including optimization and cost analyses.
• Perform data analyses and build models in Python; validate and communicate results.

Skills

Python

SQL

English communication

Data pipelines

LLM concepts

Prompting

Embeddings

RAG

Problem solving

Education

Master's degree in Data Science & AI or related field

Tools

Azure

LangChain

Semantic Kernel

Git

Job description

Haskoning seeks a Junior Data Scientist to accelerate AI adoption within the Supply Chain & Logistics advisory group, building AI-enabled tools and solving client challenges.

You will work at the intersection of data science, optimization, software development, and AI innovation; collaborate with consultants and digital teams to turn ideas into practical solutions. The role emphasizes continuous learning and hands-on experimentation from day one.