About the job
Life at UiPath
At UiPath, we harness the transformative potential of automation to reshape the way the world operates. Our commitment lies in developing industry-leading enterprise software that unleashes this potential.
We seek individuals who are inquisitive, self-motivated, generous, and authentic—those who thrive in a dynamic, fast-paced growth environment. If you care about your colleagues, UiPath, and our broader mission, you might be the perfect fit!
As we broaden our platform and influence, we are excited to welcome Peak into the UiPath family. Peak shares our vision and values, bringing extensive expertise in decision intelligence and AI-driven optimization. They empower global organizations such as Nike, Heidelberg Materials, and Boohoo to achieve real-world outcomes in inventory, pricing, and operations. Our collaborative AI platform is already generating tangible commercial value, and together, we’re amplifying that impact.
Your mission
You will partner with clients from a variety of sectors, utilizing cutting-edge advancements in machine learning, data science, and AI to tackle significant commercial challenges. Your contributions will be vital in transforming customer operations through innovative research and technology, delivering impactful results, and driving the growth and innovation of UiPath.
Note: Our team is based in Manchester, and we embrace a hybrid working model, typically collaborating in the office 2–3 days a week.
Your responsibilities at UiPath
Collaborate directly with customers to deploy, customize, and develop AI products that revolutionize their businesses.
Serve as a key contributor to the data science team, shaping products and fostering business growth through data-driven solutions.
Engage with diverse stakeholders, from industry experts to on-site customer teams, managing various scenarios with independence and accountability.
Stay abreast of technological advancements, research, and emerging trends in machine learning, AI, and data science.
Utilize your expertise in statistical modeling, forecasting, optimization, and advanced analytics to meet customer demands.
Effectively communicate complex data insights to both technical and non-technical audiences.
Work with diverse datasets, employing tools and technologies to derive meaningful insights.

