Data Scientist

UiPath; Manchester; Hybrid; GBP 50,000 - 70,000; Full time

Job summary

A technology company in Manchester is looking for a professional with expertise in machine learning and data science to engage with customers in deploying and customizing AI products. The candidate should possess strong programming skills in R or Python and a solid understanding of statistical techniques. Responsibilities include working with diverse stakeholders, deriving insights from data, and contributing to business outcomes through innovative applications of technology. This role allows for flexibility in work arrangements.

Qualifications

• Enthusiastic expertise in AI and a passion for innovative applications.
• Strong programming skills in R, Python, or similar tools.
• Familiarity with relational databases and intermediate-level SQL knowledge.
• Solid understanding of statistical techniques and data analysis methods.
• Excellent communication skills to explain complex concepts to non-technical stakeholders.
• Experience in data visualization and translating data sources into insights.

Responsibilities

• Work directly with customers to deploy and customize AI products.
• Act as a core member of the data science team shaping products.
• Engage with stakeholders to handle diverse situations with independence.
• Stay up-to-date with developments in machine learning and AI.
• Apply expertise in modeling and analytics to customer needs.
• Communicate complex data insights to diverse audiences.
• Utilize R, Python, and SQL to derive actionable insights.
• Contribute to data visualization and support decision-making.
• Seek opportunities to expand your impact at UiPath.

Skills

Machine learning

Data science

AI

Programming in R

Programming in Python

SQL

Data visualization

Tools

Statistical software

Job description

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?

As we continue expanding our platform and impact, we've welcomed Peak into the UiPath family - a company whose vision and values align closely with our own. Peak brings deep expertise in decision intelligence and AI-powered optimization, helping global businesses like Nike, Heidelberg Materials, and Boohoo drive real-world outcomes across inventory, pricing, and operations. Our AI platform is already delivering measurable commercial value, and together, we're scaling that impact even further.

Your mission

Partnering 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 data science 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 R, 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.
• Experience in data visualization and translating diverse data sources into meaningful insights is a strong advantage

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.