Specialist Data Intelligence (Data Scientist)

Summary

Build and deploy ML models, predictive analytics, and optimization algorithms to solve business problems across DKSH’s supply chain and markets, using Python, SQL, and cloud platforms.

We are looking for a motivated Data Scientist to join our Group Data Intelligence team. You will work closely with business stakeholders, data engineers, and analytics teams to develop machine learning solutions, predictive models, optimization algorithms, and AI-powered applications that create business value across multiple markets.

This role is ideal for someone who enjoys solving business problems with data, continuously learning new technologies, and working in a collaborative environment.

Key Responsibilities

Develop, validate, and deploy machine learning models to solve business problems.
Perform exploratory data analysis and feature engineering using large datasets.
Build predictive models using statistical and machine learning techniques.
Develop optimization models to support business decision making.
Collaborate with business stakeholders to understand requirements and translate them into analytical solutions.
Present findings and recommendations to technical and non-technical audiences.
Monitor model performance and retrain models when required.
Participate in AI and Generative AI initiatives, including LLM-based applications and intelligent agents.
Document methodologies, assumptions, and model performance.
Work with data engineers to productionize models and automate pipelines.
Contribute to continuous improvement of data science best practices and governance.

Required Qualifications

Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, or a related quantitative discipline.
0–3 years of experience in Data Science, Machine Learning, Analytics, or a related field.
Fresh graduates with strong internship or project experience are encouraged to apply.

Technical Skills

Experience in some of the following is preferred:

Python
SQL
Statistics and hypothesis testing
Model evaluation and validation
Data visualization (Power BI or similar)

Exposure to any of the following would be an advantage:

Databricks
PySpark
MLflow
Docker
Retrieval-Augmented Generation (RAG)
Prompt Engineering
Optimization techniques (Linear Programming, Mixed Integer Programming)

We are looking for someone who:

Has strong analytical and problem-solving skills.
Is curious and enjoys learning new technologies.
Takes ownership of assigned work.
Communicates clearly with both technical and business stakeholders.
Demonstrates initiative and willingness to ask questions.
Works well independently and within a team.
Is able to manage multiple priorities in a fast-paced environment.

What You'll Gain

Opportunity to work on enterprise-scale AI and Data Science initiatives.
Exposure to multiple business functions and international markets.
Hands-on experience with cloud-based data platforms and modern AI technologies.
Mentorship from experienced Data Scientists and AI practitioners.
Opportunities to learn Generative AI, optimization, and production machine learning.

Nice-to-Have Project Experience

Predictive analytics
Demand forecasting
Recommendation systems
Credit risk or financial modeling
Route optimization
NLP or Generative AI applications

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Advertising, Marketing & Communications Services 1,001-5,000 employees

DKSH’s purpose is to enrich people’s lives. For nearly 160 years, we have been marketing, selling, and

distributing high-quality products and brands for multinational and Fortune 500 companies. Through our

Business Units Consumer Goods, Healthcare, Performance Materials, and Technology, we deliver

sustainable growth for our partners. We contribute to improving the quality of life for our employees and

people in the local communities in which we operate. Headquartered in Switzerland, DKSH is publicly

listed and operates in 36 markets across Asia Pacific, Europe, and North America. We employ over

29,000 specialists and produced net sales of CHF 11.1 billion in 2023.