Student Worker Strategic Data Office

ID: 7977 Function: Information Technology Location: Odense, South Denmark, DK

#WeAreUR and we continuously redefine automation
At Universal Robots, part of Teradyne Inc., our mission is simple: Automation for Anyone. Anywhere. Our vision is to create a world where people work with robots, not like robots. With 75,000+ cobots already installed worldwide, we’re making a significant impact. Working towards our vision provides endless opportunities to learn, grow, innovate, and solve problems together as we bring our technology to companies of all sizes globally.

We are seeking a talented and versatile student worker to join our team as a Data Science, Data Analytics, and Business Development Specialist. This role is ideal for a student with a blend of technical expertise, analytical skills, and a keen interest in business development.

Due to summer vacations, we will start reviewing candidates in August.

Key Responsibilities:

• Perform statistical analysis and create visualizations using Python, R, SQL, Power BI, and Tableau.
• Develop machine learning models and apply statistical methods to solve business problems.
• Clean, process, and analyze large datasets; manage data warehousing and ETL processes.
• Write efficient, scalable code in Python, R, SQL, and possibly Java or Scala.
• Build and deploy models using TensorFlow, Keras, and Scikit-learn.
• Utilize business intelligence tools (Tableau, Power BI) and manage code with Git.
• Understand business operations, translate data insights into strategies, and develop business initiatives.
• Conduct market research and analyze competitive landscapes.
• Present data insights to non-technical stakeholders and create business reports.
• Plan, execute, and monitor projects; build and maintain relationships with stakeholders.

We are driven by honesty and act with integrity - #WhoAreUR
For you to have success in the position as our Student Worker, we imagine you have the following:

• Currently pursuing a Bachelor’s or Master’s degree in Data Science, Statistics, Computer Science, Business Administration, or a related field.
• Experience in data science, data analytics, or business development is a plus. Strong proficiency in statistical analysis, data visualization, programming, and machine learning.
• Commitment to continuous learning and ethical standards.
• Strong analytical and critical thinking skills to approach problems methodically and develop data-driven solutions.
• Adaptability to new technologies, tools, and business environments.
• Good interpersonal skills for collaborative teamwork and effective engagement with diverse teams and stakeholders.
• Strategic thinking about business opportunities and challenges.
• High ethical standards and integrity in all business and data-related activities, ensuring compliance with data privacy regulations.

The working hours will be around 15 hours/week and be flexibly scheduled around your studies. There is also flexibility in additional hours and hours after 4pm as one colleague is based in Boston. You should expect to work in the office at our headquarters in Energivej.

We collaborate - it´s in our DNA
Join Universal Robots, the ground-breaking technology company, and help us on our mission: Automation for Anyone. Anywhere. Shaping next year’s innovations. Moving a fast-growing industry forward. Building a truly global career. You can do it all here.

At Universal Robots we are a diverse group of bright, ambitious people working at the forefront of collaborative robotics. Through our agility, resilience, and entrepreneurial approach, we are taking our innovative robot products into more markets and regions than ever before.

We employ around 1000 people in offices across North America, South America, Europe, and Asia – and we’re growing all the time. So, if you’re looking to build your career working with some of the best talent from all over the world, we want to get in touch with you!

Send your application using the link. We take candidates into the recruitment process on a continuous basis and encourage you to apply as soon as possible.

#LI-SE1

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