Data Scientist Mergers & Acquisitions

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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 its 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

• Masters 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 Roches 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 19000 - 35400 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.

#RDT2026

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Polska sp. z o.o. operates in full compliance with the law and does not tolerate any violations. Roche Polska sp. z o.o. has implemented a Procedure for Reporting Violations of Law. If you wish to report any irregularities related to our activities all necessary information regarding the reporting process can be found on our website: & BenefitsThe expected salary range for this position based on the primary location of Warsaw Grafit is 228900.00 PLN-425100.00 PLN. Final compensation will be determined by a number of factors including your skills experience qualifications and addition to base pay this role may be eligible for a discretionary annual bonus with a target of 20% subject to both individual and company performance.

This position also offers an attractive benefits package.

Learn more about how we reward our employees at Roche.

Who we are

A healthier future drives us to innovate. Together more than 100000 employees across the globe are dedicated to advance science ensuring everyone has access to healthcare today and for generations to come. Our efforts result in more than 26 million people treated with our medicines and over 30 billion tests conducted using our Diagnostics products. We empower each other to explore new possibilities foster creativity and keep our ambitions high so we can deliver life-changing healthcare solutions that make a global impact.

Lets build a healthier future together.