Data Scientist I

UiPath3 weeks ago

Location

Manchester

Type

Full Time

Salary

GBP 35,000 – 55,000

Level

Junior

Role

Data Scientist

Posted

Feb 17, 2026

Full TimeJunior

The role

Summary

UiPath is seeking a Data Scientist I to act as a Forward Deployed Scientist, partnering directly with customers to apply machine learning, AI, and data science solutions to real-world commercial challenges. The role involves building and deploying AI products, working with diverse stakeholders, and driving business transformation through data-driven solutions.

What you'll do

Customer Partnership: Work directly with customers across various sectors to deploy, customize, and build AI products that transform their businesses

Product Development: Act as core member of Applied Sciences and Engineering team, shaping products and driving business growth through data-driven solutions

Stakeholder Engagement: Engage with diverse stakeholders from academic experts to customer teams, handling various situations with independence and responsibility

Research and Innovation: Stay current with technological developments, research, and emerging trends in machine learning, AI, and data science

Statistical Analysis: Apply expertise in statistical modeling, forecasting, optimization, and advanced analytics to address customer needs

Data Communication: Communicate complex data insights clearly and effectively to both technical and non-technical audiences

Data Processing: Work with various datasets using Python, SQL, and statistical software to derive actionable insights

Visualization and Reporting: Contribute to data visualization efforts and support decision-making by translating data into business value

What we look for

Technical

Machine Learning ExpertiseStrong foundation in machine learning algorithms, data science methodologies, and AI applications

Programming ProficiencyStrong programming skills in Python, R, or similar languages with ability to quickly learn new technologies

Database KnowledgeFamiliarity with relational databases and intermediate-level SQL skills for data manipulation

Statistical MethodsSolid understanding of broad range of statistical techniques and data analysis methods

Education

Bachelor's DegreeDegree in Computer Science, Statistics, Mathematics, Data Science, or related quantitative field

Advanced Degree PreferredMaster's or PhD in relevant field preferred for advanced research and methodology understanding

Experience

Entry to Junior Level0-2 years of professional experience in data science, machine learning, or related field

Project ExperienceAcademic or personal projects demonstrating application of machine learning and statistical analysis

Communication SkillsExcellent verbal and written communication skills with ability to explain complex concepts to non-technical stakeholders

Skills

Required skills

Machine LearningEnthusiastic expertise in ML algorithms, model development, and AI applications

ProgrammingProficiency in Python, R, or similar data science programming languages

SQLIntermediate-level SQL knowledge for database querying and data manipulation

Statistical AnalysisStrong foundation in statistical techniques and data analysis methodologies

CommunicationExcellent verbal and written skills to explain complex concepts to diverse audiences

Nice to have

Customer-Facing ExperienceExperience working directly with clients or stakeholders in technical consulting capacity

RPA KnowledgeFamiliarity with Robotic Process Automation platforms and automation technologies

Cloud PlatformsExperience with AWS, Azure, or Google Cloud for scalable data solutions

Data VisualizationSkills in creating compelling visual representations of data insights

Research BackgroundAcademic or professional research experience in AI, ML, or data science

Compensation & benefits

Salary

GBP 35,000 – 55,000 (annual)

Stock options

Available

Benefits

Flexible Work Arrangements

Hybrid, office-based, and remote work options depending on role and team needs

Diversity and Inclusion

Inclusive workplace providing equal opportunities regardless of background, with accommodations for candidates

Professional Growth

Opportunities to expand role and impact as company grows, with exposure to cutting-edge AI and automation technologies

Learning and Development

Access to latest advancements in machine learning, data science, and AI through customer partnerships and research

Healthcare Benefits

Comprehensive health insurance and medical coverage

Retirement Planning

Pension contributions and retirement savings programs

Interview process

1
Application Review — Initial screening of resume and application materials focusing on technical background and relevant experience
2
Phone/Video Screen — 30-45 minute conversation with recruiter and hiring manager covering background, motivation, and basic technical concepts
3
Technical Assessment — Take-home data science project or live coding session demonstrating Python/R skills, statistical analysis, and problem-solving approach
4
Technical Interview — In-depth discussion of machine learning concepts, statistical methods, and approach to customer-facing data science challenges
5
Behavioral Interview — Assessment of communication skills, stakeholder management, and cultural fit with focus on customer partnership scenarios
6
Final Interview — Meeting with senior team members and potential stakeholders to discuss role expectations and growth opportunities