Job Overview
Location
Manchester
Job Type
Full-time
Category
Data Scientist
Date Posted
February 27, 2026
Full Job Description
đź“‹ Description
- • Join UiPath, a global leader in enterprise automation, and contribute to the transformative power of AI and machine learning in solving complex commercial challenges. As a Data Scientist, you will be at the forefront of innovation, partnering directly with our diverse customer base across various sectors to deploy, customize, and build cutting-edge AI products that redefine how businesses operate.
- • This role is integral to our data science team, where you will not only shape the future of our AI products but also drive significant business growth through the development and implementation of data-driven solutions. Your work will have a tangible impact, enabling global businesses to achieve measurable commercial value and operational excellence.
- • You will engage with a broad spectrum of stakeholders, ranging from highly technical academic experts to on-site customer teams. This dynamic environment requires you to handle diverse situations with a high degree of independence, responsibility, and adaptability, fostering strong collaborative relationships.
- • A key aspect of your role will be to stay abreast of the latest technological advancements, research breakthroughs, and emerging trends within the fields of machine learning, artificial intelligence, and data science. Continuous learning and exploration are essential to maintaining our competitive edge and delivering state-of-the-art solutions.
- • You will apply your expertise in statistical modeling, forecasting, optimization, and advanced analytics to tackle specific customer needs and business problems. This involves translating complex data into actionable strategies and recommendations that drive tangible business outcomes.
- • A critical responsibility is to communicate complex data insights clearly and effectively. You will need to articulate findings and recommendations to both technical and non-technical audiences, ensuring that the value and implications of your work are understood and acted upon.
- • You will work with a variety of datasets, employing essential tools such as R, Python, and SQL, alongside other statistical software. The ability to efficiently process, analyze, and derive actionable insights from diverse data sources is paramount.
- • Contributing to data visualization efforts is also a key part of this role. You will support strategic decision-making by translating raw data into compelling visual narratives that highlight key trends, patterns, and opportunities.
- • As UiPath continues its rapid growth and expansion, you will have ample opportunities to continuously seek ways to expand your role, take on new challenges, and increase your impact within the organization. We encourage initiative and provide a platform for professional development and career advancement.
- • The team is based in Manchester, and we embrace a hybrid working model, typically requiring 2-3 days per week in the office to foster collaboration and team cohesion. This blend of in-office and remote work allows for flexibility while maintaining strong team connections.
- • You will be instrumental in the integration of Peak, a company renowned for its decision intelligence and AI-powered optimization expertise, into the UiPath family. This collaboration will further enhance our capabilities in areas like inventory management, pricing strategies, and operational efficiency for clients such as Nike, Heidelberg Materials, and Boohoo.
- • Your mission is to leverage the collective power of UiPath and Peak's AI platforms to deliver and scale demonstrable commercial value, pushing the boundaries of what's possible in enterprise automation and AI.
- • This role offers a unique opportunity to work on challenging, real-world problems, utilizing advanced analytical techniques and cutting-edge AI technologies to drive significant business transformation for our clients.
- • You will be part of a culture that values curiosity, self-propulsion, generosity, and authenticity, thriving in a fast-moving, fast-thinking growth company.
- • We are committed to creating category-leading enterprise software that unleashes the power of automation, and your contributions as a Data Scientist will be vital to achieving this ambitious goal.
🎯 Requirements
- • Enthusiastic expertise in machine learning, data science, and AI, with a proven passion for innovative applications and solving real-world commercial challenges.
- • Strong programming skills, particularly in R and/or Python, or the demonstrated ability to quickly learn new technologies.
- • Familiarity with relational databases and intermediate-level SQL knowledge for data extraction and manipulation.
- • A solid understanding of a broad range of statistical techniques and data analysis methods, including modeling, forecasting, and optimization.
- • Excellent verbal and written communication skills, with the ability to explain complex technical concepts to both technical and non-technical stakeholders.
🏖️ Benefits
- • Opportunity to work with cutting-edge AI and machine learning technologies.
- • Collaborative and dynamic work environment within a fast-growing global company.
- • Professional development opportunities and potential for career advancement.
- • Hybrid working model offering flexibility.
- • Be part of a company that values diversity, inclusion, and employee well-being.
Skills & Technologies
Python
Go
Data Science
Remote
About UiPath, Inc.
UiPath, Inc. is a global software company that develops a platform for robotic process automation (RPA) and artificial intelligence-driven automation. Founded in 2005 and headquartered in New York, it provides tools to build, deploy, and manage software robots that emulate human actions interacting with digital systems and software. The platform includes Studio for design, Orchestrator for management, Robots for execution, and AI fabric for cognitive capabilities. UiPath serves enterprises across finance, healthcare, manufacturing, and public sectors, aiming to accelerate digital transformation by automating repetitive business processes and improving operational efficiency.
