At a Glance
- Tasks: Support data-driven insights and predictive models to enhance business performance.
- Company: Join Motia, a leading fleet solutions provider with a collaborative culture.
- Benefits: Enjoy a competitive salary, hybrid working, and generous annual leave.
- Other info: Exciting career progression opportunities in a fun, supportive environment.
- Why this job: Make a real impact in data science while developing your skills with experts.
- Qualifications: Master's in Data Science or related field; experience with Python/R and SQL.
The predicted salary is between 30000 - 30000 £ per year.
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
- Additional Requirements
- 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 & Compensation
- 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
- #J-18808-Ljbffr
Graduate Data Scientist employer: Motia
At Motia, we pride ourselves on being an exceptional employer, offering a vibrant work culture that champions collaboration and innovation. Located in North Leeds, our Lawnswood office provides a supportive environment where you can thrive, with ample opportunities for personal and professional growth. Enjoy competitive benefits such as a generous annual leave policy, early finishes on Fridays, and a fun atmosphere that makes every day rewarding.
StudySmarter Expert Advice🤫
We think this is how you could land Graduate Data Scientist
✨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 Motia!
✨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 Graduate Data Scientist at Motia.
✨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 Motia.
✨Apply Directly through Our Website
When you find a suitable opening like Graduate Data Scientist at Motia, 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 Graduate Data Scientist
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 Motia, 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 Motia. 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 Motia
✨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 Motia!
✨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.
