Data Science Analyst Undergraduate

 We are seeking an undergraduate student who has completed two years of study for a placement year to support the Performance & Digital Solutions Lead on a range of digital and data‑driven initiatives. You will help analyse, visualise, and report asset data, and contribute to the development of low‑code analytical tools and dashboards that deliver timely, accurate insights for site decision‑making.   

We are Uniper

At Uniper, we are pro-actively transforming the world of energy whilst at the same time ensuring security of energy supply. As an internationally operating company, we work in very diverse teams with the greatest possible working time flexibility for our employees. Our corporate culture is characterized by equal opportunities, mutual appreciation, and respect. With us, you will be able to develop new business models, work on technological solutions for a modern, sustainable, and future-oriented energy supply as well as pro-actively help to shape changes. Interested? Then we will look forward to meeting you!

Your responsibilities

•    Low-code software engineering to develop dashboards and applications using tools such as Power BI and the Microsoft Power Platform.
•    Assist in gathering, cleaning, and analysing asset data using tools such as Power BI, AVEVA PI, SAP, and SEEQ, with guidance from the team.
•    Support the development, validation, and maintenance of reports and dashboards used to track key performance indicators (KPIs) for operational and central functions, following 4-eyes review practices.
•    Help design, test, and improve simple data tools or scripts (e.g. low-code or Python) 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.
•    Work with internal stakeholders, alongside the team, to understand data needs and assist in delivering practical, well‑documented solutions.
•    Support knowledge sharing by maintaining clear 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 such as SAP, AVEVA PI, Copilot, and the Microsoft Power Platform is advantageous but not essential.
•    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, collaborate effectively as part of a small team, and work with remote colleagues using digital collaboration tools such as Microsoft Teams.
•    Curious, proactive, and open to learning new tools, technologies, and ways of working.

Your qualities

• Competitive salary
• Personal development and Learning opportunities
• Enhanced company pension – With up to 12% company contributions
• 26 days annual leave plus Bank Holidays
• Electric vehicle charging at our sites
• In house Occupational Health Services
• Company funded Private Medical Insurance including free GP service
• Performance related benefits
• Access to a range of flexible benefits such as Share Incentive Plan, Dental, Critical Illness and Life Insurance, Cycle2Work, or buy and sell extra holiday
• Future career opportunities (UK & International) with a strong focus on Diversity Equity and Inclusion

Our employees are the reason for our success. Therefore, you will find many other benefits at the local level to help you reach your potential. Energy evolutionary wanted!

 Your contact

Should you have any questions about this opportunity, please contact the UK Talent Acquisition Manager

dominic.lindsey@uniper.energy

Please note, any CV’s sent via email would not be taken into consideration. All CV’s must be submitted via the online application process only.

 Job information 

As an employer, Uniper is committed to diversity and equal opportunities. Therefore, we encourage applications from suitably qualified individuals whose capabilities match the role requirements regardless of gender, origin, disability, age, religion, ideology, sexual identity or marital status. We live inclusion and support flexible working.