Project Manager Data Science for Social Good (per remote)

Faculty of Mathematics, Informatics and Statistics - Chair of Statistical Learning and Data Science
Start date
Application deadline
28 Feb 2021
Contract duration
24.05.2021 - 10.09.2021

Within the Munich Center for Machine Learning, the Chair of Statistical Learning and Data Science at the Ludwig-Maximilians-Universität in Munich, led by Prof. Dr. Bernd Bischl, in close cooperation with the University of Warwick, and supported by The Alan Turing Institute and the Data Science for Social Good (DSSG) Foundation is looking for full-time Data Science Project Managers that would like to join the DSSGx UK Summer Project.

The 12-week project-based training programme, is designed to give aspiring data scientists a strong skill set for solving real-world problems and an understanding, excitement, and passion for solving problems with social impact. Working closely with governments and nonprofits, fellows take on real-world problems in education, health, international development, and more. This year, due to COVID-19 the programme will run entirely online.

Tasks and responsibilities

The Project Managers (PMs) are a critical component of DSSGx. PMs work on up to 4 data science projects simultaneously with up to 4 project partners, with a dedicated team of Fellows (about 4 per project). Each PM is teamed up with a Technical Mentor who leads projects and provides technical assistance to the Fellows. PMs also organise some of the fellowship activities, and mentor the Fellows in various communication skills activities.

An ideal PM has a strong technical background and exposure to technology or data science projects, and several years of industry or consulting experience. We want people who are used to working in agile, fast paced, start-up-like environments with experience managing multiple projects at once.

Your duties and responsibilities:

  • Support typically 2 or 3 teams of Fellows (3-4 people per team)
  • Help guide the relationship with the project partner as well as ensuring the team is making progress
  • organise some of the fellowship activities
  • mentor the Fellows in activities including: presenting, creating a pitch, creating a poster and documentation and how to communicate effectively with various parties involved in the project



  • Project management and organisational skills, with strong attention to detail
  • Ability to communicate effectively and clearly with a wide range of people and audiences at all levels
  • Ability to build strong working relationships with a wide range of people at all levels
  • Diplomatic, able to negotiate and apply judgement in complex areas
  • Time management, prioritisation and calmness under pressure
  • Ability to manage multiple tasks and sub-projects
  • A passion for making a social impact


  • Educated to degree level in a relevant scientific and/or technical discipline, or equivalent level of professional qualifications and/or experience
  • Creative and effective facilitation of meetings, internal and external
  • A qualification or certification in one or more project management processes (e.g. Agile, scrum, Kanban, PRINCE2 etc)
  • Interest in data science and artificial intelligence
  • Experience working within an interdisciplinary academic or research-intensive environment
  • Experience with GitHub
  • Experience working on social impact projects and passion for making a social impact


The university is an equal opportunity employer. LMU Munich is interested in increasing the number of female faculty members and strongly encourages women to apply.

Due to the nature of the funding, preference will be given to applicants from EU members states.

People with disabilities who are equally as qualified as other applicants will receive preferential treatment.


How to apply:

  • a short statement letter promoting you as the ideal candidate for the position (~1 page)
  • a detailed CV, with special focus on: obtained degrees,qualification in project management processes, experience working on social impact projects, track record

Interested applicants should send the necessary documents in a single PDF document quoting “Project Manager Application, DSSGx” via email to:

Juliane Lauks, PhD
Scientific Manager
Chair of Statistical Learning & Data Science
Department of Statistics
LMU Munich
Ludwigstr. 33
D-80539 Munich

Please note
since the Data Science for Social Good (DSSG) Summer Projects are delivered by LMU in Munich in collaboration with the University of Warwick under the DSSGx UK chapter of the DSSG Foundation, your data will be forwarded to members of the DSSG-x executive committee, Challenge Owners and selected LMU/Warwick University/Carnegie Mellon University researchers for the purpose of application review and selection.

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