Data Scientist

UiPath
Manchester
1 day ago
Applications closed

Related Jobs

View all jobs

Data Scientist

Data Scientist

Data Scientist

Data Scientist

Data Scientist - New

Data Scientist - Imaging - Remote - Outside IR35

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.


#J-18808-Ljbffr

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

The Skills Gap in AI Jobs: What Universities Aren’t Teaching

Artificial intelligence is no longer a future concept. It is already reshaping how businesses operate, how decisions are made, and how entire industries compete. From finance and healthcare to retail, manufacturing, defence, and climate science, AI is embedded in critical systems across the UK economy. Yet despite unprecedented demand for AI talent, employers continue to report severe recruitment challenges. Vacancies remain open for months. Salaries rise year on year. Candidates with impressive academic credentials often fail technical interviews. At the heart of this disconnect lies a growing and uncomfortable truth: Universities are not fully preparing graduates for real-world AI jobs. This article explores the AI skills gap in depth—what is missing from many university programmes, why the gap persists, what employers actually want, and how jobseekers can bridge the divide to build a successful career in artificial intelligence.

AI Jobs for Career Switchers in Their 30s, 40s & 50s (UK Reality Check)

Changing career into artificial intelligence in your 30s, 40s or 50s is no longer unusual in the UK. It is happening quietly every day across fintech, healthcare, retail, manufacturing, government & professional services. But it is also surrounded by hype, fear & misinformation. This article is a realistic, UK-specific guide for career switchers who want the truth about AI jobs: what roles genuinely exist, what skills employers actually hire for, how long retraining really takes & whether age is a barrier (spoiler: not in the way people think). If you are considering a move into AI but want facts rather than Silicon Valley fantasy, this is for you.

How to Write an AI Job Ad That Attracts the Right People

Artificial intelligence is now embedded across almost every sector of the UK economy. From fintech and healthcare to retail, defence and climate tech, organisations are competing for AI talent at an unprecedented pace. Yet despite the volume of AI job adverts online, many employers struggle to attract the right candidates. Roles are flooded with unsuitable applications, while highly capable AI professionals scroll past adverts that feel vague, inflated or disconnected from reality. In most cases, the issue isn’t a shortage of AI talent — it’s the quality of the job advert. Writing an effective AI job ad requires more care than traditional tech hiring. AI professionals are analytical, sceptical of hype and highly selective about where they apply. A poorly written advert doesn’t just fail to convert — it actively damages your credibility. This guide explains how to write an AI job ad that attracts the right people, filters out mismatches and positions your organisation as a serious employer in the AI space.