We’re looking for

Digital Solutions & AI Student Associate

Maskinvej 3-5, Søborg, Denmark, DK-2860

Part time

Postulez maintenant

About the job

Digital Solutions & AI Student Associate

  • Søborg
  • Part time
Voir les favoris

About us 

Every day, we get opportunities to make a positive impact – on our colleagues, partners, customers and society. Together, we’re pioneering the solutions of the future and unlocking the full potential of precious resources. Trusted to act on initiative, we challenge conventional thinking to develop world-leading technologies that inspire progress in vital areas, including energy, food, water and shipping. 

As we push forward, the innovative, open spirit that fuels our 140-year-old start-up culture and rapid growth also drives our personal growth. So, as we shape a more resourceful, less wasteful world, we build our careers too. 

Role Summary

As a Digital Solutions & AI Student Associate, you will develop intelligent digital solutions that combine software engineering, AI/ML, and data analytics to support business operations and decision-making. You will work on systems, automation, and data pipelines while transforming data into actionable insights through dashboards and visualizations.

You will collaborate with stakeholders across sales, service, R&D, production, and IT to understand business needs and translate them into scalable technical and analytical solutions.

This role is within the Digital Enterprise team in Business Unit Separation Technologies (BU SET) at Alfa Laval, where we drive digital transformation through innovative, data-driven solutions that enhance operational efficiency and business processes across our global organization.

Who You Are

You are technically curious, analytical, and motivated, with an interest in building intelligent solutions that create business value. You enjoy working at the intersection of software development, AI, and data analytics, and are eager to learn and grow in a global environment with many stakeholders and touchpoints.

You have a good understanding of business processes and an interest in exploring new digital technologies and tools.

Key Responsibilities

· Apply AI/ML techniques to explore and solve business challenges

· Design and maintain Power BI dashboards and data visualizations

· Extract, clean, and transform data using Python, SQL, and related tools

· Translate business needs into digital and data-driven solutions

· Document technical decisions, data models, KPIs, and workflows

· Support analytics in sales, product management, and operations

Qualifications

· Studying Computer Science, AI, Data Engineering, Data Science, Business Analytics, or similar in Denmark and preferably Copenhagen

· Experience with Python and familiarity with one or more languages such as C#, Java, or similar

· Exposure to data tools such as Power BI, SQL, and Excel

· Interest in cloud platforms (Azure is a plus) and APIs

· Strong analytical and communication skills with an ability to document work clearly

· Interest in AI/ML, automation, and data-driven decision-making

· Interest or experience in frontend/UX is a plus

What’s in it for you 

· Support for Microsoft AZ-900 and PL-300 certifications, including exam fees and preparation resources

· Opportunity to write your thesis in collaboration with Alfa Laval

· Structured mentorship program for onboarding and skill development

· Flexible working hours to accommodate academic priorities

We are conducting a continuous review of the applications received. We do not accept applications via email, due to General Data Protection Regulation (GDPR). 

We care about diversity, inclusion, and equity in our recruitment processes. We also believe behavioural traits can provide important insights into a candidate's fit to a role. To help us achieve this we apply Pymetrics assessments, and upon application you will be invited to play the assessment games. Playing the games is mandatory. 
 
As part of our commitment to maintaining a safe and secure workplace, we conduct background checks on final candidates for this role. 

We look forward to hearing from you soon! 

#LI-NS1

Person, Worker, Clothing, Glove, Accessories, Glasses, Shoe, Wood, Factory, Workshop