Digital Data Science Intern (60-100%)

Key Skills

Python Programming, AWS, Machine learning techniques, Data science techniques, Linear regression, Data Analytics, Algorithms, Optimization, Heuristic optimization

Job Description

Holcim builds progress for people and the planet. As a global leader in innovative and sustainable building solutions, Holcim is enabling greener cities, smarter infrastructure and improving living standards around the world. With sustainability at the core of its strategy, Holcim is becoming a net zero company, with its people and communities at the heart of its success. The company is driving the circular economy as a world leader in recycling to build more with less. Holcim is the company behind some of the world’s most trusted brands in the building sector including ACC, Aggregate Industries, Ambuja Cement, Disensa, Firestone Building Products, Geocycle, Holcim and Lafarge.

Holcim is 70,000 people around the world who are passionate about building progress for people and the planet through four business segments: Cement, Ready-Mix Concrete, Aggregates and Solutions & Products. If you would like to get more information about our corporate organization in Switzerland specifically, please visit our company profile.

No agencies can be considered for this job posting.

Responsibilities

Who we are

We supply building materials to solve the challenges facing a growing population.

We also:

• Make our global footprint – from quarry to construction site – digitally accessible and transparent
• Use digital skills and analytics to drive scale and efficiency across our network
• Use data science, machine learning (ML) to build up predictive capabilities across our network
• Find the most impactful technologies by reaching out to the open innovation community
• Technological transformation through open innovation, helping to solve global challenges: LH MAQER.
• We, the MAQERs are open-minded, pragmatic and not stuck on any preconceived notions. 

We are growing! And would like YOU to #BEaMAQER Digital Intern in the area of Data Science, Machine Learning, Process Optimization. The role is all around applying optimization, data science, machine learning on supply chain management and predictive analytics. If you are interested in working for a start-up minded unit within a global corporation, we are the right team for you!

Responsibilities

• Apply optimization methods on scheduling problems and simulate different delivery scenarios.
• Develop and implement a scheduling system which considers various perspectives on the delivery process to reduce cost and improve customer satisfaction.
• Apply statistical and machine learning models on supply chain management
• Enhance existing data science solutions with new ML algorithms, feature engineering and do benchmarking.
• Scale analytics solutions to new markets and communicate the findings.

Education/Qualifications

• Master degree (in progress) in Mathematics, Data Science, Computer Science or equivalent

Experience

• Optimization (Linear, MIP, Heuristic), Scheduling, Network Optimization (Python libraries)
• Data science, Analytics (Python programming & python data science libraries)
• AWS Cloud
• Digitalization

Knowledge & Skills

• Open-minded curious person, self-driven
• Critical thinking and good root-cause analysis
• Strong in Optimization, Scheduling and Machine Learning algorithms
• Thinking out of the box and creative problem solving
• Good communication skills, ability to work in an international environment 

Language Requirements: Fluency in English is essential.

Local / International: Local Employment

Travel Requirements: 10%