Life at UiPath

The people at UiPath believe in the transformative power of automation to change how the world works. We’re committed to creating category-leading enterprise software that unleashes that power.

To make that happen, we need people who are curious, self-propelled, generous, and genuine. People who love being part of a fast-moving, fast-thinking growth company. And people who care—about each other, about UiPath, and about our larger purpose.

Could that be you?

Your mission

As a Senior Data Scientist, you will be the first and only data scientist in the team initially, so autonomy, curiosity, and versatility are key. This role focuses on building robust time series forecasting models and other machine learning solutions to support financial planning and decision-making, such as ARR prediction, revenue forecasting, and customer churn modeling.
You’ll work closely with cross-functional teams, leveraging Microsoft Fabric and Azure ML to develop predictive models and deploy them in production environments.

What you'll do at UiPath

• Build and deploy time series forecasting and other ML models for key financial metrics

• Own the end-to-end ML lifecycle: from exploration and feature engineering to model training, evaluation, and deployment

• Leverage Microsoft Fabric Notebooks, Azure ML, and Python to build, train, and serve machine learning models

• Work with SQL and modern data lake technologies; familiarity with Delta Tables is a strong plus

• Collaborate with data engineers and analysts to ensure data quality and reliability across the modeling pipeline

• Translate business problems into data-driven solutions that drive impact

• Communicate insights and recommendations clearly to non-technical stakeholders.

What you'll bring to the team

• 5+ years of hands-on experience in data science or applied machine learning

• Strong Python programming skills, particularly in libraries like pandas, scikit-learn, statsmodels, or Prophet

• Proven experience in building end-to-end forecasting models and working with time series data

• Good SQL skills and ability to work across multiple complex datasets

• Experience working in cloud-based environments, especially Azure ML and/or Microsoft Fabric Notebooks is a plus

• Experience with Delta Lake / Delta Tables on Lakehouse architectures is a plus

• Exposure to financial or SaaS business metrics (ARR, churn, expansion, etc.) is a plus

• Ability to work independently and own projects from start to finish

• Strong communication skills and ability to work cross-functionally in a dynamic environment

• The ability to understand and present findings to a non-technical audience. Prior experience in data visualization and/or deriving insight from a wide variety of data sources is a plus.

Maybe you don’t tick all the boxes above—but still think you’d be great for the job? Go ahead, apply anyway. Please. Because we know that experience comes in all shapes and sizes—and passion can’t be learned.

Many of our roles allow for flexibility in when and where work gets done. Depending on the needs of the business and the role, the number of hybrid, office-based, and remote workers will vary from team to team. Applications are assessed on a rolling basis and there is no fixed deadline for this requisition. The application window may change depending on the volume of applications received or may close immediately if a qualified candidate is selected.

We value a range of diverse backgrounds, experiences and ideas. We pride ourselves on our diversity and inclusive workplace that provides equal opportunities to all persons regardless of age, race, color, religion, sex, sexual orientation, gender identity, and expression, national origin, disability, neurodiversity, military and/or veteran status, or any other protected classes. Additionally, UiPath provides reasonable accommodations for candidates on request and respects applicants' privacy rights. To review these and other legal disclosures, visit our privacy policy.