(Senior) Data Science & Digitalization Consultant

Business Services - Frankfurt

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About Arcondis

Arcondis is a global consulting company with an exclusive focus on the healthcare and life science industries, with their particularly demanding requirements on quality and regulatory aspects. We have been managing challenges and solving problems for our clients in the areas of compliance, business processes,

information technology, and digital transformation since 2001. We create value through cross-functional, sophisticated delivery methodologies and intelligent implementation. Our clients love to work with us because of our unique skillsets, our pragmatic approach, and our will to win.

About us
Open Position

Tasks and responsibilities

  • Develop and implement data strategies, data governance frameworks, and master data management policies for life sciences organizations

  • Design and build secure data architectures and engineering solutions that support advanced analytics and data-driven insights

  • Collaborate with business stakeholders, data scientists, and software engineers to identify and prioritize key data projects

  • Lead the development of digital enablement solutions to help life sciences organizations leverage data for competitive advantage

  • Conduct data analysis, develop insights, and present findings to clients to inform business decisions

  • Active coordination, management, support, and delivery of data-focused client projects in Pharma, MedTech and/or Public Healthcare

  • Participation in developing innovative solutions to challenges across Life Science industries

  • Identification and evaluation of potential business opportunities and active support with business development in the US

  • Acquisition and management of projects in various Life Science disciplines

  • Mentor and develop team members, providing guidance and support on technical and strategic issues

  • Cultivation of strong professional relationships with members of the Pharma, MedTech and/or Public Healthcare communities


Your profile

  • Bachelor’s degree (Master’s preferred) in a related field such as Computer Science, Data Science, Statistics, Mathematics, Natural Sciences, or Engineering

  • 5+ years of experience in data science, data engineering, or related fields

  • A minimum of 3 years’ experience in life sciences and/or healthcare

  • In-depth knowledge of life science value chain and business models

  • Strong expertise in data strategy, data governance, master data management, data engineering, and architecture in life sciences and/or healthcare

  • Proficiency in programming, data analysis, and visualization tools such as SQL, Python, R, and Tableau

  • Keen affinity for advancing digitalization in Life Sciences organizations

  • Willingness to act decisively and proactively in situations with limited information

  • Proven ability to work with, lead, and influence cross-functional teams and clients

  • Highly self-motivated, independent, and results-driven

  • Excellent written and oral communication skills in English, fluency in German is a plus

  • Flexibility and willingness to travel


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