Job
- Level
- Senior
- Job Field
- Data
- Employment Type
- Full Time
- Contract Type
- Permanent employment
- Location
- Ingelheim am Rhein
- Working Model
- Hybrid, Onsite
Job Summary
In this role, you will design learning journeys and workshops on topics like Data Science and AI, translating complex content for diverse audiences while strengthening communities.
Your role in the team
- As a (Senior) Data Scientist, you will continuously design, develop, and optimize learning journeys, training programs, workshops, practical exercises, and enablement formats for various target groups in the field of data and artificial intelligence. In doing so, you translate complex topics such as Data Science, machine learning, generative artificial intelligence, natural language processing/large language models, operational processes for machine learning, model evaluation, and responsible artificial intelligence into understandable, business-relevant learning experiences for technical and non-technical audiences.
- You drive role-based upskilling and competency development for experts, professionals, managers, users, and profiles with business impact through interactive, application-oriented learning formats, coaching, and practical guidance. At the same time, you contribute to the further development of the Data X Academy into a strategic, company-wide unit for competency building.
- Your responsibilities also include strengthening and expanding communities in the field of data and artificial intelligence by promoting learning from colleagues, professional exchange, collaboration, knowledge sharing, and engagement through presentations, events, technical talks, internal conferences, communication channels, and community formats.
- You act as a trusted internal thought leader by identifying new trends, tools, methods, as well as regulatory or ethical developments, translating them into actionable guidelines, collaborating with internal and external stakeholders, and promoting the responsible, human-centered, and business-oriented adoption of data and artificial intelligence.
- Furthermore, you apply your practical expertise in analytics, machine learning, generative artificial intelligence, data preparation, model evaluation, and deriving business insights to design, critically evaluate, and enrich training concepts, learning formats, and discussions on use cases.
- Your responsibilities also include supporting pilot projects, prototypes, demonstrations, and practical examples. In doing so, you collaborate with data engineers, product managers, architects, business stakeholders, and subject matter experts to ensure that learning content reflects realistic end-to-end practices in data and artificial intelligence.
- You contribute to solving conceptual issues within your organizational unit by independently handling complex tasks and actively influencing their implementation in collaboration with or within other organizational units.
- Furthermore, you will assume professional responsibility. This includes, for example, the conception, planning, and/or editing of extensive, possibly cross-departmental technical topics and (sub-)projects. Additionally, you will advise others on the topics within your area of responsibility and represent them in internal and external working groups with different interests.
This text has been machine translated. Show original
Our expectations of you
Education
- Master's degree in Data Science, Mathematics, Statistics, Physics, Computer Science, Engineering, (Business or Bio-)Informatics (or a comparable quantitative field), alternatively a Bachelor's degree with more relevant professional experience. A postgraduate academic degree, e.g., a PhD, is desirable.
Qualifications
- Strong ability to clearly explain complex technical topics and tailor communication to different target groups, including business users, professionals, experts, and executives.
- Good understanding of the end-to-end lifecycle in Data Science, including business understanding, data preparation, modeling, evaluation, interpretation, and operational aspects, as well as familiarity with the responsible, compliant, and ethical use of data and artificial intelligence in corporate or regulated environments.
- Strategic thinking, analytical problem-solving skills, curiosity, as well as a strong commitment to quality and a focus on practical relevance; additionally, a collaborative working style and the ability to build networks across functions, regions, and professional communities.
- Fluent English skills in speaking and writing, as well as the ability to clearly communicate complex ideas. German language skills are an advantage.
Experience
- Several years of professional experience in Data Science, Machine Learning, Artificial Intelligence, Generative Artificial Intelligence, Natural Language Processing/Large Language Models, Statistics, or related fields of advanced analytics.
- Experience in training, moderation, knowledge sharing, mentoring, consulting, community building, or competency development is highly desirable.
- Several years of professional experience in Data Science, Machine Learning, Artificial Intelligence, Generative Artificial Intelligence, Natural Language Processing/Large Language Models, Statistics, or related fields of advanced analytics.
This text has been machine translated. Show original
What we offer
- As part of pay transparency, the proposed compensation is shared during the recruitment process. In addition to our competitive salaries, we offer a wide range of benefits.
- Applications from people with severe disabilities are warmly welcomed; if equally suitable, they will be given preferential consideration.
This text has been machine translated. Show original
Benefits
Health, Fitness & Fun
Topics You Will Work On
Job Locations
About Your Employer
Boehringer Ingelheim
For over 130 years, Boehringer Ingelheim has been probing, creating and producing novel medications with high therapeutic advantages for people as well as animals. As a family-run pharmaceutical enterprise we plan long-term and consequently invest heavily in research & development. We take great pride in tackling some of the biggest health issues our world faces today. Our vision “Creating Values through Innovation” has always shaped our collaboration while serving both as requirement and momentum at once.
Description
- Founding Year
- 1885
- Company Type
- Established Company
- Working Model
- Hybrid, Onsite
- Industry
- Pharmaceutical Sector, Chemical Industry, Biotech
Senior Data Scientist
- Location
- Ingelheim am Rhein
- Working Model
- Hybrid, Onsite
- Diversity
- Open for all genders
