Data Scientist - Applied AI

Jobtailor; Warszawa; On-site; PLN 212,040 - 395,064; Full time

Benefits offered by this job

Salary range 19,000 - 35,400 PLN gross

Annual bonus payment (target 20%)

Dedicated training budget

Recharge Fridays

Take Time Program (up to 3 months)

Vacation subsidy

Flex Location option

Private healthcare (LuxMed packages)

Group life insurance (UNUM)

Stock share purchase additions

Job summary

F. Hoffmann-La Roche Gruppe is looking for a Data Scientist - Applied AI in Warsaw, Poland. This role involves designing and deploying machine learning solutions to enhance partnering activities with a focus on data-driven decision making.

The ideal candidate will have a Master’s degree or PhD, 5+ years of experience in data science, and strong proficiency in Python along with relevant AI tools. Competitive salary and great benefits included.

Qualifications

• 5+ years of experience in data science, applied AI, machine learning, or advanced analytics solution development.
• Strong experience designing, developing, evaluating, and deploying machine learning models for business applications.
• Experience working with structured and unstructured data from multiple sources.

Responsibilities

• Design, develop, and deploy machine learning and AI-enabled solutions that support partnering activities.
• Lead exploratory data analysis, feature engineering, model selection, and performance evaluation.
• Partner closely with business stakeholders to translate complex challenges into analytical approaches.

Skills

Data Science

Machine Learning

Python

SQL

Artificial Intelligence

Education

Master’s degree or PhD in Data Science, Computer Science, Statistics, Mathematics, Engineering, Artificial Intelligence, or a related quantitative field

Tools

scikit-learn

TensorFlow

PyTorch

pandas

NumPy

AWS

GCP

Azure

Tableau

Power BI

Job description

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. Join Roche, where every voice matters.

The Position

Data Scientist - Applied AI

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

Machine Learning & Applied AI Solutions

• Design, develop, and deploy machine learning and AI‑enabled solutions that support partnering activities such as opportunity prioritization, portfolio intelligence, forecasting, operational insights, and decision support.

• Apply advanced analytics, statistical modeling, machine learning, and emerging AI techniques to solve complex business problems and deliver scalable intelligence capabilities across the partnering ecosystem.

Model Development & Experimentation

• Lead exploratory data analysis, feature engineering, model selection, training, validation, and performance evaluation for machine learning and AI‑enabled solutions.

• Design and evaluate multiple modeling approaches, establish appropriate evaluation metrics, and optimize models for scalability, reliability, and business impact.

Business Problem Solving & Decision Support

• Partner closely with business stakeholders and product teams to translate complex business challenges into analytical approaches, machine learning solutions, and scalable intelligence capabilities.

• Support data‑driven prioritization and strategic decision making through actionable insights, predictive models, and operational intelligence.

AI & Intelligence Enablement

• Collaborate with AI, data, and engineering teams to operationalize AI‑enabled capabilities and support the adoption of scalable intelligence solutions across partnering platforms and workflows.

• Evaluate and apply modern AI techniques including predictive modeling, NLP, LLM‑enabled workflows, and intelligent automation approaches to enhance partnering operations and decision making.

Data & Intelligence Development

• Design and develop analytics solutions, dashboards, KPIs, and intelligence capabilities that improve visibility into partnering operations, opportunities, and portfolio activities.

• Support development of operational intelligence capabilities that enable proactive and informed business decisions.

AI Operationalization & MLOps

• Collaborate with engineering and architecture teams to support operationalization of machine learning and AI‑enabled solutions in production environments.

• Support scalable deployment, monitoring, observability, and lifecycle management of AI and machine learning capabilities aligned with enterprise AI standards and governance practices.

Data Storytelling & Communication

• Communicate analytical findings, model outputs, and AI‑driven insights through clear visualizations, presentations, and storytelling that support business understanding and stakeholder decision making.

• Translate complex analytical and machine learning concepts into practical business insights for both technical and non‑technical audiences.

Collaboration & Continuous Improvement

• Work in a cross‑functional Agile environment and collaborate closely with product owners, data engineers, architects, vendors, and business stakeholders to continuously improve AI capabilities, analytics solutions, and operational intelligence across PDS.

• Contribute to evolving AI practices, engineering standards, experimentation frameworks, and continuous improvement initiatives across the organization.

Qualifications

• Master’s degree or PhD in Data Science, Computer Science, Statistics, Mathematics, Engineering, Artificial Intelligence, or a related quantitative field.

• 5+ years of experience in data science, applied AI, machine learning, or advanced analytics solution development.

• Strong experience designing, developing, evaluating, and deploying machine learning models for business applications.

• Strong proficiency in Python and machine learning/data science frameworks such as scikit‑learn, TensorFlow, PyTorch, pandas, and NumPy.

• Strong SQL skills for querying, transformation, and analysis of large datasets. Experience building predictive models, classification models, recommendation systems, forecasting models, or decision‑support solutions.

• Experience working with structured and unstructured data from multiple sources. Familiarity with cloud‑native AI and analytics platforms such as AWS, GCP, or Azure. Strong communication and collaboration skills with the ability to work across technical and business teams.

Preferred Qualifications:

• Experience developing applied AI or machine learning solutions that support operational or business workflows.

• Experience working with LLMs, NLP techniques, vector databases, or AI‑enabled workflow solutions.

• Familiarity with agentic AI workflows, orchestration frameworks, or intelligent automation approaches.

• Experience operationalizing ML/AI models in production environments.

• Familiarity with MLOps or LLMOps concepts including deployment, monitoring, orchestration, observability, and model lifecycle management.

• Experience working with cloud‑native AI platforms such as AWS SageMaker or equivalent services.

• Experience with dashboarding and visualization tools such as Tableau, Power BI, or similar platforms.

• Ability to work effectively in ambiguous environments and translate evolving business needs into scalable AI and analytics solutions.

• Experience supporting product‑centric or Agile delivery environments.

• Experience in healthcare, life sciences, partnering, or business development domains is a plus.

• Strong storytelling and stakeholder engagement skills with the ability to communicate insights clearly and effectively.

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!

Roche is an Equal Opportunity Employer.