Intern - Data Science (F/m/d)

il y a 4 semaines

Luxembourg Deutsche Börse Temps plein

**Learn. Develop. Grow. But always: Share value**:
Join our international team that drives positive change, united by a spirit of openness and curiosity. We empower you to have an impact and to grow - personally and professionally. With us, you work at the heart of financial systems and evolve the way markets operate. We’re excited about the future because we are the ones shaping it. Let´s do this together by sharing value

**Who we are**:
Tracing its origins to 1585, Deutsche Börse Group has become one of the world’s leading exchange organisations and an innovative market infrastructure provider. In this role, we provide investors, financial institutions and companies access to global capital markets. What’s your part in all this? With your commitment you contribute to the success of our unique business model: offering a wide range of products, services and technologies for security, transparency and integrity on the markets. By creating trust in the markets of today and tomorrow we foster growth and contribute to the prosperity of future generations.

Luxembourg

**Your career at Deutsche Börse Group**:
**Your area of work**:
As a intern - Data Science (f/m/d) you will support the team in the Data Management department in the development of innovative data products and analytical solutions.

**Your responsibilities**:

- Assist with data analytics and business intelligence (BI) tools to build new data products and analytical solutions according to business requirements.
- Support with various data sources, including big data tools (e.g. Azure Databricks) and cloud technologies, to create datasets from multiple data sources.
- Assist in working with different stakeholders under the guidance of an experienced supervisor.
- Contribute in discussions with the team and present your solutions and findings.
- Help in developing a deep understanding of a data product and significantly contributing to its development.
- Assist in projects on data mining and machine learning to identify patterns and create forecasts to predict future behaviours

**Your profile**:

- You are enrolled during the entire period of activity at a state-recognized university as a regular student and have completed at least 2 semesters. Study focus in the field of Computer Science, Mathematics/Statistics, Physics, Engineering, Business Administration, Information Technology, Management or any other relevant quantitative field.
- Ideally, you have already gained practical experience in conducting quantitative analysis (e.g. experience abroad, internships) and are interested in financial data.
- You have experience with and knowledge of Business Intelligence (BI) tools such as SAP Analytics Cloud, PowerBI.
- You can understand technical information quickly, derive insights and devise solutions. You have an independent and responsible way of working with attention to detail and agile communication and possess a passion to learn.
- You have knowledge of Python (pandas, scikit-learn) or other programming languages.
- You are proficient in written and spoken English.

Location: Luxembourg

Duration: 6-12 months

**Why Deutsche Börse Group?**:
**Mobility**:
We enable you to move freely with our job tickets, job (e-)bikes and free parking opportunities.

**Work environment**:
Collaboration, communication, or deep focus - in our modern office buildings you will find the perfect work environment. Free drinks and food and meal allowances included.

**Health and wellbeing**:
We care for your health and wellbeing and besides various health promotion measures we offer you a group accident insurance and additional insurance offers at discounted rates.

**Financial stability**:
We provide financial stability by offering attractive salaries, company pension schemes, participation in our Group Share Plan, as well as bonuses, subsidies and discounts.

**Hybrid work**:
Collaborate and exchange on-site or work remotely several days a week in line with business needs and local regulations. Our hybrid working model combines the best of both worlds.

**Flexible working hours**:
We want your job to fit your life situation and offer flexible working time models, part-time models, childcare allowance, or the possibility to study alongside your job.

**Internationality**:
Our market infrastructures are globally connected. Working with us means collaborating with like-minded colleagues across over 60 locations from more than 100 nations.

**Development**:
We promote individual development by offering internal development programmes, mentoring, further education and training budgets.

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