Data Science Analyst Undergraduate Placement

We are looking for someone to join us on a 48-52 week placement year at our Grain site. The role holder will focus on supporting the Performance & Digital Solutions Lead, focusing on the organization's digital and data-driven initiatives by assisting in the analysis, reporting, visualization of asset data, and development of new analytical tools. This role enables timely, accurate insights that inform decision-making across site functions.

Your responsibilities

• Assist in gathering, cleaning, and analysing asset data using tools such as Power BI, AVEVA PI, SAP, SEEQ and Snowflake, with guidance from the team.
• Support the development and maintenance of reports and dashboards to track key performance indicators (KPIs) for operational and central functions.
• Help design and test simple data tools or scripts to automate routine reporting or data transformation tasks.
• Contribute to Uniper’s COODE (Chief Operating Officer Digital Evolution) initiative by providing input, feedback, and support to local digital engagement activities, in line with our digital strategy.
• Participate in data validation and 4-eyes review practices, helping to ensure accuracy and consistency of reported information.
• Work with internal stakeholders to understand their data needs and assist in delivering practical, well-documented solutions.
• Support knowledge sharing by maintaining documentation of data sources, analysis steps, and tool usage.
• Assist in ongoing digitalisation and process improvement projects as part of the wider team.
  
  

Your profile

• Studying towards a degree in Data Science, Computer Science, Engineering or a related analytical field.
• Basic proficiency in data analysis tools such as Power BI, Python, Excel, or similar; awareness of platforms like SAP, PI, or Snowflake is advantageous.
• Strong analytical and problem-solving skills, with an ability to work with structured and unstructured data.
• Good written and verbal communication skills, with the ability to present data clearly to technical and non-technical audiences.
• Demonstrated interest in digitalisation, data-driven decision-making, or continuous improvement initiatives.
• Ability to work independently on defined tasks and collaborate effectively as part of a small team.
• Comfortable working with remote colleagues and using digital collaboration tools such as Microsoft Teams.
• Curious, proactive, and open to learning new tools, technologies, and ways of working.