(Senior) Data Scientist Finance

The Position

Are you passionate about solving complex problems and uncovering hidden opportunities in data? As a (Senior) Data Scientist Finance, you will apply advanced methods such as machine learning, artificial intelligence, and causal inference to develop innovative solutions that drive smart decision-making and create meaningful impact for patients. Working in a highly collaborative environment, you will design computational models, discover insights, and transform data into actionable strategies that shape the future of healthcare. Join us to tackle challenging projects that combine your technical expertise with your passion for making a difference.

Tasks & responsibilities

• In this role, you will design and implement end-to-end data science use cases by analyzing business challenges, collaborating with cross-functional teams, and delivering scalable solutions that align with business and IT needs.
• Leveraging your expertise, you will develop cutting-edge analytics engines, formulate hypotheses with domain experts, and identify the most suitable algorithms to address complex problems effectively.
• You will take ownership of establishing best practices for data operations, ensuring compliance, and monitoring data science models in production while applying agile methodologies to drive success.
• By building strong relationships with business units, you will translate complex technical concepts into actionable insights, enabling data-driven decision-making and quickly acquiring domain knowledge in diverse areas.
• Through active networking, you will connect with internal and external partners, promote data science literacy, and foster collaboration by sharing innovative ideas, experiments, and key learnings.
• Your contributions will also include enhancing the data ecosystem by improving access to scalable data and driving knowledge exchange to support the development of customer-centric solutions.

Additional tasks for Senior Data Scientist

• You will take on a leadership role by mentoring junior team members, advising them on technical methodologies, and driving agile initiatives to ensure the successful delivery of projects.
• As a key driver of the organization’s digital strategy, you will shape the future of data science by providing thought leadership, researching best practices, and collaborating with industry leaders.
• By actively supporting stakeholders, you will enhance the organization’s data science literacy, align initiatives with business goals, and foster collaboration to deliver impactful, customer-focused solutions.

Requirements

• Master’s degree in a quantitative discipline such as theoretical physics, mathematics, computer science, bioinformatics
• Several years of relevant work experience in data science
• Proficiency in Python, R, and C++, with experience in data visualization and exploratory analysis
• Experience with big data and unstructured data, including Hadoop and Spark
• Strong interpersonal and communication skills to engage with stakeholders and deliver actionable insights
• Fluency in English (written and verbal)

Additional requirements for Senior Data Scientist

• Deep technical expertise in advanced data science methods such as machine learning, artificial intelligence, and natural language processing
• Proactive leader who drives initiatives independently, engages with senior management, and takes ownership of business transformation projects
• Strong stakeholder management skills, effectively balancing conflicting interests, strategic evaluation of business cases and development of innovative solutions

Ready to contact us? 

If you have any questions about the job posting or process - please contact our HR Direct Team, Tel: +49 (0) 6132 77-3330 or via mail: hr.de@boehringer-ingelheim.com

Recruitment process:
Step 1: Online application - The job posting is presumably online until January 19th, 2026. We reserve the right to take the posting offline beforehand. Applications up to January 9th, 2026 are guaranteed to be considered.
Step 2: Virtual meeting End of January 2026
Step 3: On-site interviews beginning of Feburary 2026