Job
- Level
- Junior
- Job Field
- Data
- Employment Type
- Part Time
- Contract Type
- Internship / school internship
- Salary
- from 1.400 € Gross/Month
- Location
- Hamburg
- Working Model
- Hybrid, Onsite
Job Summary
In this role, you will analyze relevant data, develop AI-driven models, and support data-driven decision-making in an innovative renewable energy environment.
Job Technologies
Your role in the team
- In the Data & AI team at Encavis, you will work on real analytical challenges of a growing company in the renewable energy sector.
- In this role, you will support us in making data meaningfully usable, further developing analyses, and applying modern AI approaches where they create real added value.
- You assist in the analysis, structuring, and preparation of data from various business units within the Encavis Group.
- This includes, among other things, operational, asset, financial, and performance data, which serve as the basis for analyses, reports, and data-driven decisions.
- As part of your responsibilities, you will also work with structured and historized data sets and, depending on the use case, with time series data, for example in the context of performance, forecasts, or operational metrics.
- You contribute to data, analytics, and AI projects that improve business processes, increase transparency, or support decision-making.
- This can include, for example, analyses, automation, forecasting, anomaly detection, or AI-powered evaluations.
- You assist in the development, testing, and refinement of analytical models and logic, helping to critically assess, validate, and prepare results in a target group-appropriate manner.
- You research methods, tools, and solutions in the field of Data Science, Analytics, and Artificial Intelligence, and support in systematically evaluating and further developing new ideas.
- You work closely with colleagues from the business units, IT, and Asset Ocean, the central data and analytics backbone of Encavis.
- You assist in the conception and implementation of use cases related to AI in analytics, copilots, and, prospectively, agent-based architectures — always where they are technically meaningful and provide measurable added value.
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Our expectations of you
Education
- You have completed or will complete a Bachelor's degree in a relevant field (e.g., Data Science, Computer Science, Business Informatics, Mathematics, Statistics, or a comparable discipline) by September 2026 at the latest.
- What matters is your current or planned enrollment in a master's program.
Qualifications
- You have a very good analytical understanding and an interest in data-, model-, and fact-based questions.
- You work carefully, reliably, and independently, and you are able to structure complex topics clearly and present them comprehensibly.
- You are able to articulate analytical content clearly and prepare it appropriately for the audience - both for technical colleagues and for stakeholders without a deep technical background.
- Additionally, you have very good German and good English skills, both written and spoken.
- Initial knowledge in Python for data analysis and prototyping, SQL for data queries and understanding, Power BI, notebooks or comparable analysis and visualization tools, APIs, data pipelines or analytical data models is advantageous.
- Ideally also basic knowledge of modern cloud or data warehouse environments.
- You are interested in how AI can be meaningfully integrated into analysis, decision-making, and work processes — pragmatically, responsibly, and with a focus on actual added value.
- Are you eager to delve into business models, data, and processes in the renewable energy sector?
Experience
- You have already gained initial practical or academic experience in one or more of the following areas: statistics, data analysis, data science, machine learning, forecasting, time series analysis.
- Experience in practical handling of Large Language Models (LLMs) and AI Agents.
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What we offer
- Monthly gross salary for a part-time position of 20 hours per week: €1,400 with annual increases.
- Tuition fees are covered.
- Master's thesis possible at Encavis.
- Required ECTS credits in: Mathematics & Statistics (20 ECTS), Computer Science including Programming (20 ECTS, of which 10 ECTS are Programming), Data Science & AI (20 ECTS), Economics (5 ECTS).
- If up to 45 ECTS are missing, individual supplementary achievements can be agreed upon.
- The verification of the admission requirements as well as the final admission decision are made by FH Wedel.
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Topics that you deal with on the job
Job Locations
This is your employer
Encavis AG
Encavis AG, headquartered in Hamburg, serves as the parent company of the Encavis Group and is a publicly traded provider in the renewable energy sector. The group manages a diverse portfolio of solar and wind farms across several European countries and positions itself as a long-term operator of sustainable energy facilities.
Description
- Company Type
- Established Company
- Working Model
- Hybrid, Onsite
- Industry
- Power Sector, Economy
Part-time studies - Data Science & Artificial Intelligence
- Salary
- from 1.400 € Gross/Month
- Location
- Hamburg
- Working Model
- Hybrid, Onsite
- Diversity
- Open for all genders
