Graduate Data Scientist
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What you'll do
- Support the development and enhancement of customer value, segmentation, and predictive models.
- Assist in analysing 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.
- Help 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 both technical and non-technical audiences.
- Stay up to date with developments in data science, machine learning, artificial intelligence, and analytics.
What they're looking for
- 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
Nice to have
- 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.
Summarised by NextRaise from the employer’s description, which follows in full below.
Full description from employer
At Motia, we’re at the forefront of fleet solutions, providing innovative services that power businesses across the UK. We’re committed to creating an environment where everyone can thrive. Our culture fosters collaboration, innovation, and growth, ensuring you can build a career, not just a job. With over 300 employees across five offices, we support over 55,000 customers nationwide.
About the role
Reporting to the Head of Business Intelligence, the Graduate Data Scientist will support the development of data-driven insights, predictive models, and analytical solutions that help improve business performance. This is an exciting opportunity for a recent postgraduate to apply advanced analytical techniques in a commercial environment while developing their skills alongside experienced data professionals.
The successful candidate will contribute to projects across marketing, sales, pricing, and customer analytics, helping the business make informed decisions and identify opportunities for growth as we migrate to Microsoft Fabric.
Please note that we are unable to offer visa sponsorship for this role, applicants must already have the right to work in the UK.
Duties & Responsibilities
- Support the development and enhancement of customer value, segmentation, and predictive models.
- Assist in analysing 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.
- Help 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 both technical and non-technical audiences.
- Stay up to date with developments in data science, machine learning, artificial intelligence, and analytics.
What You'll Gain
- 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.
Requirements
- 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.
Benefits
- Hybrid working - 2/3 days on site at our Leeds Head Office a week
- Basic Salary - £30,000 per annum
- 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
Company
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