Graduate Data Scientist

Motia

. Support the development and enhancement of customer value, segmentation, and predictive models .

Posted 9/15/2026full-timeLeeds • United KingdomEntry Level💰 £30,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in statistical analysis, data modeling, and machine learning, with proficiency in Python and SQL for actionable insights. Capable of developing visualizations and dashboards using tools like Power BI or Tableau while effectively communicating findings to diverse audiences.

Highest-signal resume keywords

Master’s Degree In Data ScienceStatistical AnalysisMachine LearningData Visualization ToolsSQL And Relational Databases

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Statistical AnalysisData ModelingMachine LearningPythonRSQLData TransformationPredictive ModelingCustomer AnalyticsCommercial Analytics

Soft Skills

Analytical SkillsProblem-Solving SkillsCommunication SkillsOrganizational SkillsCollaboration Skills

Tools & Technologies

Power BITableauAzureAWSGoogle CloudGit

Industry Keywords

Data ScienceBusiness IntelligenceData ExplorationData QualityAnalytics

Tech Stack

Tools & technologies

AWSAzureCloudPythonSQLTableau

About the role

Key responsibilities & impact

Support the development and enhancement of customer value, segmentation, and predictive models
Analyse customer, sales, and operational data to identify trends and opportunities
Contribute to the design, build, testing, and deployment of machine learning and statistical models
Support pricing and commercial analysis through data exploration and modelling techniques
Work with stakeholders across the business to understand analytical requirements and business challenges
Develop dashboards, visualisations, and reporting solutions that communicate insights effectively
Participate in test-and-learn initiatives to measure the effectiveness of business strategies and campaigns
Collaborate with the Business Intelligence team to improve data quality, reporting, and analytical capabilities
Present findings and recommendations to technical and non-technical audiences
Stay up to date with developments in data science, machine learning, artificial intelligence, and analytics
Report to the Head of Business Intelligence
Support projects across marketing, sales, pricing, and customer analytics during migration to Microsoft Fabric

Requirements

What you’ll need

Master’s degree in Data Science or closely related subject such as Artificial Intelligence, Machine Learning, Statistics, Mathematics, Computer Science, or Analytics
Strong understanding of statistical analysis, data modelling, and machine learning concepts
Experience using Python and/or R through academic projects, internships, or personal development
Knowledge of SQL and relational databases
Ability to work with large datasets and transform data into actionable insights
Strong analytical and problem-solving skills
Excellent communication skills with the ability to explain technical concepts clearly
Highly organised with strong attention to detail
Eagerness to learn, develop, and build a career within data science
Ability to work collaboratively within cross-functional teams
Experience with data visualisation tools such as Power BI or Tableau
Knowledge of cloud analytics platforms such as Azure, AWS, or Google Cloud
Understanding of predictive modelling, customer analytics, or commercial analytics
Experience of applying machine learning techniques through university projects or internships
Familiarity with Git or other version control tools
Applicants must already have the right to work in the UK; visa sponsorship is unavailable

Benefits

Comp & perks

Hybrid working - 2/3 days on site at our Leeds Head Office a week
Bonus - up to £2k per annum
Annual leave - 25 days plus bank holidays
An additional day annual leave for your birthday after 1 year service
Holiday purchase Scheme - buy/sell up to 5 days annual leave after 2 years service
Free breakfast
Early Friday finish - 2:45pm
Fun, supportive working environment
Cycle to work scheme
Dress down office
Pension
4 x salary life assurance
Structured development and mentoring from experienced data and analytics professionals
Exposure to real-world commercial data science projects
Opportunities to develop technical and business skills
A collaborative and innovative working environment
Clear career progression opportunities within Data Science and Analytics