At a Glance
- Tasks: Solve real-world problems using cutting-edge AI and machine learning techniques.
- Company: Join UiPath, a leader in automation and enterprise software.
- Benefits: Flexible work options, competitive salary, and opportunities for professional growth.
- Other info: Diverse and inclusive workplace with a focus on innovation and collaboration.
- Why this job: Make a tangible impact on major retailers and shape the future of AI.
- Qualifications: Experience in ML/data science, strong programming skills, and excellent communication.
The predicted salary is between 49500 - 60500 £ per year.
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.
Your mission is to take the cutting edge of machine learning, optimisation, and agentic systems, and make it work inside real businesses — not in a lab, but on live customer problems where the answer has to hold up commercially.
As a Forward Deployed Scientist I, in our Supply Chain & Retail business, you’ll work directly with some of the world’s biggest retailers and manufacturers on hard, high-stakes problems: demand forecasting, price and promotion optimisation, and supply-chain decisioning. You’ll own the science end-to-end — from understanding a customer’s messy reality to shipping something that changes how they operate.
You won’t just deliver. What you learn on the front line feeds directly back into the products we build, so you’re shaping the capability the whole business runs on — not just solving one problem at a time.
What you'll do at UiPath:
- Own customer engagements end-to-end — frame the problem, build the solution, and drive it to real commercial impact, working directly alongside customer teams.
- Apply and adapt frontier ML, forecasting, and optimisation techniques — and increasingly agentic AI — to problems that don’t have a textbook answer.
- Turn what works on the ground into product direction, so each engagement makes our core capability better for the next customer.
- Operate with genuine autonomy across a wide range of stakeholders — from data scientists to customer executives — and make the judgment calls that get things shipped.
- Stay at the edge of what’s possible in applied AI, and bring it back to the team.
What you'll bring to the team:
- Strong track record applying ML / data science to real-world commercial problems, ideally with depth in forecasting, optimisation, or supply-chain / pricing.
- The instinct to own outcomes, not tasks — you take an ambiguous problem and drive it to a result rather than waiting to be told the next step.
- Fluent programming (Python and SQL) and the ability to pick up whatever a problem demands.
- Excellent communication — you can take a customer executive from confusion to confidence, and explain a complex model to a non-technical room.
- Comfort with ambiguity, direct customer contact, and the pace of a team that ships.
- Bonus: experience with agentic / LLM-based systems, or building ML in production.
Who thrives here:
We’re looking for builders — smart, switched-on people who want to be handed a genuinely hard real-world challenge and go to town on it. If you want to work at the frontier of applied AI, own something that matters, and see your work land with real customers and shape a product, this is for you.
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.
Forward Deployed Scientist I in Manchester employer: UiPath
At UiPath, we foster a dynamic and inclusive work culture that empowers our employees to tackle real-world challenges in applied AI. As a Forward Deployed Scientist I, you'll not only engage with leading retailers and manufacturers but also have the opportunity to shape our core products through your insights and experiences. With a commitment to employee growth, flexibility in work arrangements, and a focus on collaboration, UiPath is an exceptional employer for those looking to make a meaningful impact in the tech industry.
StudySmarter Expert Advice🤫
We think this is how you could land Forward Deployed Scientist I in Manchester
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like UiPath!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Forward Deployed Scientist I at UiPath.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like UiPath.
✨Apply Directly through Our Website
When you find a suitable opening like Forward Deployed Scientist I at UiPath, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Forward Deployed Scientist I in Manchester
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at UiPath, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at UiPath. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at UiPath
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at UiPath!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.