Data Scientist – Mergers & Acquisitions Full-time

Join Roche

At Roche you can show up as yourself, embraced for the unique qualities you bring. Our culture encourages personal expression, open dialogue, and genuine connections, where you are valued, accepted and respected for who you are, allowing you to thrive both personally and professionally. This is how we aim to prevent, stop and cure diseases and ensure everyone has access to healthcare today and for generations to come.

The Position

Data Scientist – Mergers & Acquisitions

About Our Team: Partnering Digital Solutions

Join our Partnering Digital Solutions team, a strategic group focused on maximizing partnership impact through digital and AI-enabled ecosystems to advance the Pharma and DIA Partnering business. We are at the forefront of innovation – building scalable data infrastructure, applying advanced data engineering practices, and integrating cutting-edge external capabilities to accelerate decision-making and unlock business value.

Our work spans across multiple high-impact initiatives, from developing intelligent data products to enabling end-to-end AI workflows. Whether it's structuring complex data ecosystems or collaborating with external research institutions, this is a unique opportunity to help shape the future of data and AI at Roche by directly supporting key strategic decisions across our global Partnering organization.

Responsibilities

As a Data Scientist, you will play a critical role in shaping our data strategy and solving complex business challenges through the innovative application of machine learning. You will move beyond simply executing on requirements; you will be a thought partner who seeks out opportunities, defines the right questions to ask, and drives projects from ambiguity to impactful business outcomes.

As a Data Scientist, you will be a pivotal member of our team, responsible for:

• End-to-End Model Ownership: Drive the entire machine learning lifecycle, from exploratory data analysis (EDA) and advanced feature engineering to model training, validation, deployment, and post-launch monitoring for performance and concept drift.
• Problem Formulation: Translate ambiguous business requirements and domain challenges into well-defined technical problems, testable hypotheses, and robust machine learning solutions.
• Rigorous Experimentation: Design, test, and validate multiple modeling approaches to find the optimal solution, establishing clear and relevant evaluation metrics that directly align with business goals.
• Technical Implementation & Deployment: Utilize our Triple AI SageMaker environment to efficiently train, deploy, and manage scalable models in a production setting.
• Data Storytelling & Visualization: Communicate complex model outputs and data-driven insights through compelling storytelling and clear visualizations, empowering business stakeholders to make informed, data-backed decisions.
• Product-Oriented Mindset: Develop a deep understanding of the business domain and product vision, ensuring that your work is not just technically sound but also delivers tangible and measurable value to the end-user.
• Collaborative Innovation: Actively collaborate with engineers, product managers, and business leaders, fostering a culture of shared knowledge, open feedback, and continuous improvement.
• Proactive & Agile Impact: Embody an entrepreneurial spirit and an agile mindset, proactively identifying opportunities for impact and focusing on delivering concrete business results and outcomes over exhaustive documentation.

Qualifications

• Master's degree in Computer Science, Statistics, Mathematics, Engineering, or a related quantitative field.
• 3+ years of hands-on professional experience in a data science role focused on building and deploying machine learning models.
• Strong proficiency in Python and its core data science libraries (e.g., pandas, NumPy, scikit-learn, Matplotlib/Seaborn).
• Solid proficiency in SQL for complex data querying, transformation, and analysis.
• Experience building models for business applications such as forecasting, classification, clustering, or regression.
• Familiarity with at least one major cloud platform (AWS, GCP, Azure).

Preferred Qualifications:

• 5+ years of experience in a product-focused data science environment.
• Ideally, direct hands-on experience using Amazon SageMaker for model development, training, and deployment.
• Proven experience implementing and managing model monitoring systems to detect data and model drift in a production environment is highly desired.
• A forward-looking interest in the application of Generative AI, with an enthusiasm to learn how to combine LLMs and other generative techniques with traditional machine learning as part of your professional development in the role.
• Hands-on experience with MLOps principles and tools (e.g., MLflow, Kubeflow, feature stores).
• Demonstrated ability to thrive in a dynamic environment, taking complete ownership of ambiguous problems and driving them to resolution.
• Exceptional communication and data storytelling skills, with a proven ability to listen, understand business context, and influence both technical and non-technical audiences.
• A strong portfolio of completed data science projects that demonstrates a focus on delivering business impact.

Why Join Us?

• Be at the forefront of innovation in AI and emerging technologies.
• Help shape a scalable and intelligent data foundation to support Roche's strategic partnering decisions.
• Collaborate with world-class researchers, engineers, and external partners.
• Work in an agile, mission-driven environment with autonomy and purpose.

What you get:

• Salary range 19,000 – 35,400 PLN gross based on the employment contract.
• Annual bonus payment based on your performance (target 20%).
• Dedicated training budget (training, certifications, conferences, diversified career paths etc.).
• Recharge Fridays (2 Fridays off per quarter available).
• Take time Program (up to 3 months of leave to use for any purpose).
• Vacation subsidy available.
• Flex Location (possibility to perform our work from different places in the world for a certain period of time).
• Take Time for Charity (additional paid leave of maximum 2 weeks to engage in the charity action of your choice).
• Private healthcare (LuxMed packages), group life insurance (UNUM) and Multisport.
• Stock share purchase additions.
• Yearly sales of company laptops and cars and many more!

Apply directly and join us in shaping the future of healthcare.

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