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Intern/WS - Product Data Science

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Celonis

20d ago

  • Internship
    Full-time
    Summer Internship
  • Data
    Engineering
  • Munich

AI generated summary

  • You must be pursuing a Master’s in Statistics/Data Science, proficient in SQL/Python, eager to work with data, communicate well in English, and available full-time for three months.
  • You will analyze data, present insights, create visualizations, apply statistical techniques, collaborate on data pipelines, and refine engineering processes to ensure data accuracy.

Requirements

  • Currently pursuing a Master's degree in Statistics and/or Data Science
  • Seeking an internship with a focus on Product Analytics Engineering or Data Science, collaborating with product, engineering, or growth teams
  • Basic proficiency in analytical tools (SQL, Python, Pandas) for data extraction, visualization, and analysis
  • Developing understanding of statistical techniques and machine learning concepts.
  • Eagerness to gain experience with large datasets and predictive modeling
  • Goal-oriented with a keen ability to make decisions and prioritize tasks to meet deadlines.
  • Strong written and verbal communication skills in English, demonstrating attention to detail.
  • Enthusiastic about contributing to a dynamic, fast-paced environment within a growing organization, working with diverse international teams
  • First three months full-time availability (internship) and following months 20h/week (working student)

Responsibilities

  • Analyze data and provide insights primarily to product and engineering teams
  • Present analytical findings in a clear and compelling manner to stakeholders across the organization.
  • Create visualizations and written narratives to effectively communicate quantitative insights and facilitate discussions with data-informed perspectives
  • Apply statistical analysis, modeling, and machine learning techniques to various product & business data sets to support resource optimization, feature enhancement, and product adoption initiatives.
  • Collaborate with data engineering teams to build pipelines
  • Actively participate in refining data engineering processes to ensure data accuracy, consistency, and integrity

FAQs

What is the focus of the internship position at Celonis?

The internship position focuses on Product Analytics and Data Science, providing analytic support to product and engineering teams to enable evidence-based decision-making.

What kind of tasks will I be responsible for as an Intern/Working Student?

You will analyze data, present analytical findings, create visualizations, apply statistical analysis and machine learning techniques, collaborate with data engineering teams, and help refine data engineering processes.

What qualifications are required for the internship?

Candidates should be currently pursuing a Master's degree in Statistics and/or Data Science, have basic proficiency in analytical tools such as SQL and Python, and have a developing understanding of statistical techniques and machine learning concepts.

What type of availability is expected for the internship?

The first three months require full-time availability, followed by a commitment of 20 hours per week for the remaining months as a working student.

Is previous experience required for this position?

Previous experience is not explicitly required, but familiarity with analytical tools and a keen interest in data analysis is beneficial.

What kind of support does Celonis provide to its interns?

Celonis offers investment in personal growth and skill development, mentorship opportunities, benefits packages, physical and mental well-being support, and a diverse and inclusive work culture.

How does Celonis ensure an inclusive work environment?

Celonis is committed to diversity and inclusion by celebrating various backgrounds, making employment decisions without bias, and actively promoting equal opportunity in all aspects of employment.

Will I have the opportunity to collaborate with other teams at Celonis?

Yes, as an intern, you will collaborate closely with engineers, product team members, and data engineering teams to address business challenges and create data solutions.

What is the company’s approach to professional development?

Celonis provides clear career paths, internal mobility opportunities, and learning and development platforms to support employees' professional growth.

Can I expect to work with large datasets during the internship?

Yes, the role involves gaining experience with large datasets and applying predictive modeling techniques.

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Celonis

Change the world. One process at a time.

Technology
Industry
1001-5000
Employees
2011
Founded Year

Mission & Purpose

Celonis helps companies reveal and fix inefficiencies they can’t see, enabling them to perform at levels they never thought possible. Their innovative software enables organisations to analyse and optimise their business processes, uncovering inefficiencies and improving operational performance. Celonis aims to empower businesses with actionable insights, allowing them to streamline operations, enhance productivity, and drive growth. With a focus on data-driven decision-making, Celonis is dedicated to helping companies unlock their full potential, achieve operational excellence, and stay ahead in a rapidly evolving business landscape.