Data Scientist

The Rundown AI; Manchester; On-site; GBP 35,000 - 55,000; Full time

Job summary

An innovative firm is seeking a passionate Data Scientist to join their dynamic team. In this role, you will leverage cutting-edge advancements in machine learning and AI to solve real-world challenges across various sectors. You'll collaborate closely with customers, deploying and customizing AI products that transform their operations. The ideal candidate will possess strong programming skills in R and Python, and a solid understanding of statistical techniques. This is a fantastic opportunity to contribute to meaningful projects in a supportive and inclusive environment that values diverse backgrounds and experiences.

Qualifications

• Strong programming skills in R and Python are essential.
• Experience with statistical techniques and data analysis methods.

Responsibilities

• Work with customers to deploy and customize AI products.
• Engage with stakeholders to handle diverse situations independently.

Skills

Machine Learning

Data Science

AI

Statistical Modeling

Communication Skills

Education

Bachelor's Degree in a related field

Tools

R

Python

SQL

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.

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

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 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.
• Personal attributes that align with UiPath’s values:
• Open: Clear communicator across disciplines.
• Driven: High energy, resilient, and committed to professional excellence.
• Curious: Naturally inquisitive with a strong problem-solving mindset.
• Smart: Proactively keeps pace with industry trends and innovations.
• Responsible: Manages priorities effectively and thrives in team environments.
• 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.

Seniority level

• Seniority level

  Entry level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Engineering and Information Technology

• Industries

  Technology, Information and Internet

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