Data Scientist I

UiPath
Manchester
2 weeks ago
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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.


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

This role acts as a Forward Deployed Scientist, with a goal to partner with customers across various sectors, leveraging the latest advancements in machine learning, data science, and AI to solve real‑world commercial challenges. You'll play a key role in transforming how customers operate by applying cutting‑edge research and technology, driving impactful outcomes, and contributing to the growth and innovation of UiPath.


What You’ll Do At UiPath

  • Work directly with our customers, deploying, customizing and building AI products to transform their businesses
  • Act as a core member of the Applied Sciences and Engineering team, shaping products and driving business growth through data‑driven solutions.
  • Engage with a wide range of stakeholders, from academic experts to on‑site customer teams, handling diverse situations with independence and responsibility.
  • Stay up-to-date with technological developments, research, and emerging trends in machine learning, AI, and data science.
  • Apply expertise in statistical modeling, forecasting, optimization, and advanced analytics to address customer needs.
  • Communicate complex data insights clearly and effectively to both technical and non‑technical audiences.
  • Work with various datasets, utilizing tools like Python, SQL, and statistical software to derive actionable insights.
  • Contribute to data visualization efforts and support decision‑making by translating data into business value.
  • Continuously seek opportunities to expand your role and impact as UiPath grows.

What You’ll Bring To The Team

  • Enthusiastic expertise in machine learning, data science, AI, and a passion for innovative applications.
  • Strong programming skills or the ability to quickly learn new technologies, with experience in R, Python, or similar tools being a plus.
  • Familiarity with relational databases and intermediate‑level SQL knowledge.
  • A solid understanding of a broad range of statistical techniques and data analysis methods.
  • Excellent verbal and written communication skills, with the ability to explain complex concepts to non‑technical stakeholders.

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.


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